Joint Call For Papers for ICSOC 2024 Workshops
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Slim Kallel
Sep 16, 2024, 7:33:38 AMSep 16
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11 workshops will be organized in conjunction with ICSOC 2024, which will be held in Tunis between 3-6 December, 2024.
https://icsoc2024.redcad.tn/workshops.html
- 9th International Workshop on Adaptive Service-oriented and Cloud Applications (ASOCA)
- 5th International Workshop on Agility with Microservices Programming (AMP)
- 5th International Workshop on AI-enabled Process Automation (AI-PA)
- 20th International Workshop on Engineering Service-Oriented Applications and Cloud Services (WESOACS)
- 1st International Workshop on Generative AI as a Software Service (GAISS)
- 1st International Workshop on Lightweight AI-based Services (LAIS)
- 1st International Workshop on Optimising AI Models Using Local Data on Resource-Constrained Edge Devices:Training & Inference(AI on Edge)
- 1st International Workshop on RealTime Service oriented and EMbedded Systems (RTSEMS)
- 2nd International Workshop on Services and Quantum Software Acronym (SQS)
- 1st International Workshop on Service-Oriented Computing, AI, and IoT for Smart Applications (SOCAISA)
- 1st International Workshop on Service-Oriented Computing for AI Applications (SOC4AI)
Deadlines :
- Workshop paper submissions due: 26 September 2024
- Notification to authors: 24 October 2024
- Camera ready manuscripts due: 31 October 2024
- Author registration: 31 October 2024
- Workshop Date: 3 December 2024
Submission :
https://easychair.org/conferences/?conf=icsoc2024
----------------------------------------------------------------------
9th International Workshop on Adaptive Service-oriented and Cloud Applications (ASOCA)
Workshop link: https://www.redcad.tn/events/asoca2024
----------------------------------------------------------------------
===== Workshop Goal:
The concept of adaptive and reconfigurable SOA has been introduced in order to describe architectures, which exhibit functional and non-functional properties. An adaptive and reconfigurable SOA can repair itself if any execution problems occur, in order to successfully complete its own execution, while respecting functional and NF agreements. In the design of an adaptive and reconfigurable software system, several aspects have to be considered. For instance, the system should be able to predict or to detect degradations and failures as soon as possible and to enact suitable recovery actions. Moreover, different NF requirements service levels might be considered in order to complete the execution in case of failure. Contributions are devoted to the design and the implementation of adaptive and reconfigurable service oriented and cloud applications and architectures.
===== Workshop chairs:
- Nesrine Khabou, University of Sfax, Tunisia
- Ismael Bouassida Rodriguez, University of Sfax, Tunisia
----------------------------------------------------------------------
5th International Workshop on Agility with Microservices Programming (AMP)
Workshop link: https://amp-workshops.github.io
----------------------------------------------------------------------
===== Workshop Goal:
The AMP workshop aims at collecting experiences on microservices adoption, reporting best practices, but also specially failure cases, so as to build community knowledge based on previous errors and successes. The workshop is open to experience reports from practitioners and academia. The fifth edition of AMP aims to continue the success of its previous editions from 2020 to 2023.
AMP workshops seeks to collect original work on the science and engineering of programming microservices, including but not limited to evolutionary and agile architectures, methods and tools, patterns, operational practices and DevOps, agile teams, programming languages and techniques for microservices, software quality aspects, metrics and software analytics, verification, test-driven approaches and testing, architectural refactoring, empirical studies and experience reports on microservices adoption and teaching.
===== Workshop chairs:
- Thatiane de Oliveira Rosa, University of Sao Paulo, Brazil
- Sandro Speth, University of Stuttgart, Germany
- Jonas Fritzsch, University of Stuttgart, Germany
----------------------------------------------------------------------
5th International Workshop on AI-enabled Process Automation (AI-PA)
Workshop link: https://aip-research-center.github.io/AIPA_workshop/2024
----------------------------------------------------------------------
===== Workshop Goal:
Business processes are central to the operation of public and private enterprises. Today, the advancement in Service Oriented Computing, Artificial Intelligence (AI) and Data Science has the potential to transform business processes in fundamental ways; by assisting knowledge workers in communicating analysis findings, supporting pieces of evidence and to make decisions.
The 5th International Workshop on AI-enabled Process Automation (AI-PA) will be held as one of the workshops of the 22nd International Conference on Service Oriented Computing (ICSOC 2024). The AI-PA workshop aims at providing a forum for researchers and professionals interested in Artificial Intelligence (AI) enabled Business Processes and Services; and in understanding, envisioning and discussing the opportunities and challenges of intelligent Process Automation, Process Data Analytics and providing Cognitive Assistants for knowledge workers.
===== Workshop chairs:
- Amin Beheshti, Macquarie University, Australia
- Boualem Benatallah, Dublin City University, Ireland
- Hamid Motahari, UpBrains AI, Inc. USA and Macquarie University, Australia
----------------------------------------------------------------------
20th International Workshop on Engineering Service-Oriented Applications and Cloud Services (WESOACS)
Workshop link: https://seiis.cut.ac.cy/wesoacs2024
----------------------------------------------------------------------
===== Workshop Goal:
Distributed service-oriented systems render a very effective way for delivering functional systems to clients. Cloud computing alleviates the need to purchase and maintain expensive and sophisticated hardware in order to support data processing and storing. Cloud computing systems minimize upfront investment, while at the same time promise to offer high levels of performance, high availability, on-demand scalability and elasticity, and fault tolerance. In addition, it is necessary to take into account the current need to develop frameworks and offer services in the fields of the Internet of Things and Smart Environments. Both domains have blossomed in the last years at a very fast speed and the advances are in continuous development. It is therefore necessary to investigate new methodologies, architectures, frameworks to support software development in both domains to match current technological advances and market needs.
On the other hand, in both cases, techniques of Artificial Intelligence (AI) may play a role of great relevance, especially with generative AI and Large Language Models (LLM) which are nowadays enabling technologies for Software Service Engineering. It is therefore necessary to provide the means for their integration within the proposals developed to provide predictive capabilities in the field of Internet of Things and Smart Environments. In a Service Oriented Computing environment multiple services of different origin, programming backbone and execution environment collaborate with each other to perform business process operations. It is therefore quite critical to provide an overall picture of these operations and assess the flow of execution in terms of performance, compliance to standards and tasks, and optimal use of resources. Process mining extracts information from log files of systems recorded during executions, and provides the means to perform such analysis depicting reality and supporting decision making.
===== Workshop chairs:
- Andreas S. Andreou, Cyprus University of Technology, Cyprus
- George Feuerlicht, Unicorn University, Czech Republic
- Willem-Jan van den Heuvel, Tilburg University, The Netherlands
- Winfried Lamersdorf, University of Hamburg, Germany
- Guadalupe Ortiz, University of Cádiz, Spain
- Christian Zirpins, Karlsruhe University of Applied Sciences, Germany
- Ala Arman, Sapienza University of Rome, Italy
----------------------------------------------------------------------
1st International Workshop on Generative AI as a Software Service (GAISS)
Workshop link: https://genaias.github.io
----------------------------------------------------------------------
===== Workshop Goal:
This workshop aims to explore the various obstacles and considerations involved in deploying Generative AI (GAI) technologies as scalable, reliable, and efficient software services. GAI holds great promise in automating content creation, data augmentation, and predictive analytics. However, integrating these advanced models into service-oriented architectures (SOA) introduces unique challenges that must be addressed to realize their full potential.
The contributions can address the scalability and performance, Integration and interoperability, Data privacy and security, Cost management, Service reliability and availability, Ethical and social implications, User experience and accessibility, Case studies and best practices.
===== Workshop chairs:
- Ali Ben Mrad, University of Sfax, Tunisia
- Eman Abdullah AlOmar, Stevens Institute of Technology, USA
- Brahim Hnich, University of Monastir, Tunisia
- Mohamed Wiem Mkaouer, University of Michigan-Flint, USA
----------------------------------------------------------------------
1st International Workshop on Lightweight AI-based Services (LAIS)
Workshop link: https://redcad.org/events/lais2024
----------------------------------------------------------------------
===== Workshop Goal:
LAIS 2024 aims to bring together AI researchers and experts on embedded systems to discuss the development of artificial intelligence services (AI services) and their deployment on edge and IoT devices, where hardware resources might be limited, and real-time processing is crucial. AI services typically use deep learning models that require significant computational resources, making them difficult to deploy on resource-limited devices such as IoT sensors. Processing such sensor data remotely using high-performance Cloud servers raises challenges in data privacy and communication bandwidth, especially in regions with limited connectivity. To address these issues, various methods have been proposed, including quantization, pruning, low-rank factorization, knowledge distillation (KD), and neural architecture search (NAS).
===== Workshop chairs:
- Afef Mdhaffar, University of Sfax, Tunisia
- Bernd Freisleben, University of Marburg, Germany
----------------------------------------------------------------------
1st International Workshop on Optimising AI Models Using Local Data on Resource-Constrained Edge Devices - Training & Inference (AI on Edge)
Workshop link: https://sites.google.com/view/edgeonai2024
----------------------------------------------------------------------
===== Workshop Goal:
Edge AI enables intelligent solutions deployed on edge devices, reducing latency, allowing offline execution, and providing strong privacy guarantees. However, bringing computational capabilities closer to data sources poses significant challenges in achieving both efficiency and accuracy for resource-constrained edge devices.
This workshop aims to explore the intricate trade-offs involved in optimising AI applications for edge environments. It addresses the critical need to balance high model accuracy with minimal resource consumption across diverse applications of Edge AI, including Healthcare, Autonomous Vehicles, Earth observation, Smart home and industrial automation, smart cities, Industrial Internet of Things (IIoT), generative AI (Gen AI), and large language models (LLMs).
===== Workshop chairs:
- David Moloney, Ubotica Technologies, Ireland
- Besma Guesmi, Ubotica Technologies, Ireland
- Jinen Daghrir, Ubotica Technologies, Ireland
- Imen Jegham, Ubotica Technologies, Ireland
- Sirine Miladi, Ubotica Technologies, Ireland
----------------------------------------------------------------------
1st International Workshop on RealTime Service oriented and EMbedded Systems (RTSEMS)
Workshop link: https://www.redcad.org/events/rtsems2024
----------------------------------------------------------------------
===== Workshop Goal:
RTSEMS addresses the modelling, implementation and assessment of real time and embedded services in software systems. Real-time and embedded services form the backbone of critical applications where timing, reliability, and resource efficiency are paramount. Real-time services, provided by components like Real-Time Operating Systems (RTOS), task schedulers, and interrupt handlers, ensure tasks are completed within strict deadlines, making them essential in fields such as aerospace, automotive, and industrial automation. Embedded services, including device drivers, middleware, and security services, optimize hardware interaction and safeguard operations within resource-constrained environments, prevalent in consumer electronics, healthcare, and home automation. Together, these services facilitate seamless integration, robust performance, and dependable functionality, enabling the creation of sophisticated systems that drive innovation and maintain operational excellence across diverse technological landscapes.
===== Workshop chairs:
- Wafa Gabsi, University of Sfax, Tunisia
- Bechir Zalila, University of Sfax, Tunisia
- Frank Singhoff, University of Brest, France
----------------------------------------------------------------------
2nd International Workshop on Services and Quantum Software Acronym (SQS)
Workshop link: https://sqs2024.spilab.es
----------------------------------------------------------------------
===== Workshop Goal:
Under the umbrella of quantum information theory, quantum algorithms have been proposed that solve in polynomial time problems for which there is no classical algorithm that solves in that order of complexity. The entry into the NISQ era with the development of the first quantum computers and simulators now makes it possible to test such algorithms on real computers. This generates new expectations and promotes growing interest in Quantum Computing. More and more researchers are proposing solutions in the quantum domain either to optimise existing algorithmic approaches in terms of number of qbits or circuits depth, to propose solutions to deal with decoherence and quantum error, or to propose new algorithms for uncovered problems. All these efforts, coupled with the fact that more and more media reports on quantum computing achievements appear, are inviting industry to look towards Quantum Computing to explore the possibilities it can offer. Some countries have launched specific programmes inviting industry and academia to explore together the applicability in different sectors, the current limitations of quantum technologies and their expected evolution over time. The objective is to be prepared for the future uptake of Quantum Computing in industry.
All of the above is evidence that quantum software is already a reality. It is commonly accepted that future software will be hybrid integrating both, classical pieces and quantum pieces because nearly each quantum algorithm requires classical preprocessing or postprocessing. With this, interest is also beginning to appear from researchers in the field of Software Engineering. The question arises as to whether all that has been learned over the last decades is still applicable in this new era. The first forums focusing on the field of Quantum Software Engineering have already appeared. Examples are Q-SE at ICSE, QSW at IEEE Services or Q-SET at IEEE Quantum Week. Many interesting works have been presented in these forums on how to approach certain software engineering practices now in the context of Quantum Computing. Topics such as how to build hybrid software architectures, orchestrate quantum systems, build models that enable automatically generating quantum software, build quantum software with better quality attributes, etc. are being addressed in these forums.
Since it is clear that future information systems will be hybrid, it is necessary to start designing the way in which the integration between the classical and quantum parts of the systems will take place. This is where Service Oriented Computing can provide techniques for this. The aim of this workshop is to bring together experienced participants interested in discussing different techniques for building information systems by composing classical services with hybrid services.
===== Workshop chairs:
- Johanna Barzen, University of Stuttgart, Germany
- Schahram Dustdar, TU Wien, Austria
- Frank Leymann, University of Stuttgart, Germany
- Jose Garcia-Alonso, University of Extremadura, Spain
----------------------------------------------------------------------
1st International Workshop on Service-Oriented Computing, AI, and IoT for Smart Applications (SOCAISA)
Workshop link: http://socaisa.com
----------------------------------------------------------------------
===== Workshop Goal:
SOCAISA aims to delve into the synergy between Service Oriented Computing (SOC), Artificial Intelligence (AI), and Internet of Things (IoT) to overcome critical challenges of interoperability and scalability in the realm of smart applications. This convergence represents a pivotal opportunity to advance both theoretical research and practical implementations, fostering intelligent and interconnected systems that are robust, adaptable, and efficient.
Interoperability Challenges:
In the context of SOC and IoT, interoperability remains a fundamental challenge due to the diverse nature of devices, protocols, and service interfaces. AI techniques offer promising solutions by enabling systems to autonomously understand and adapt to varying data formats, communication protocols, and service requirements. Machine learning algorithms, for instance, can analyze data from disparate IoT devices, identify patterns, and facilitate seamless integration within SOC frameworks. Additionally, natural language processing (NLP) and semantic technologies can standardize and interpret service descriptions, thereby enhancing service discovery and composition across heterogeneous environments.
Scalability Solutions:
Scalability is another critical concern as IoT deployments continue to expand exponentially, generating massive volumes of data that SOC frameworks must efficiently process and manage. AI-driven approaches such as edge computing and distributed learning enable decentralized decision-making and data processing, reducing latency and enhancing scalability. By leveraging AI algorithms for predictive analytics and resource allocation, SOC architectures can dynamically scale services based on real-time demand, optimizing performance without compromising efficiency.
===== Workshop chairs:
- Mohammed Karim Guennoun, Ecole Hassania des Travaux Publics, Casablanca, Morocco.
- Said Tazi, LAAS-CNRS, Toulouse, France
----------------------------------------------------------------------
1st International Workshop on Service-Oriented Computing for AI Applications (SOC4AI)
Workshop link: https://ai4soc-workshop.onrender.com
----------------------------------------------------------------------
===== Workshop Goal:
The AI4SOC Workshop aims to bring together researchers, practitioners, and enthusiasts from the fields of Artificial Intelligence and Service-Oriented Computing. The workshop will provide a platform for sharing cutting-edge research, innovative ideas, and practical experiences. Our focus will be on the intersection of AI technologies and service-oriented computing, exploring how AI can enhance the development, deployment, and management of service-based systems.
===== Workshop chairs:
- José Antonio Parejo Maestre, Universidad de Sevilla, Spain
- José María García, Universidad de Sevilla, Spain
- Víctor Casamayor Pujol, Technical University of Viena, Austria
https://icsoc2024.redcad.tn/workshops.html
- 9th International Workshop on Adaptive Service-oriented and Cloud Applications (ASOCA)
- 5th International Workshop on Agility with Microservices Programming (AMP)
- 5th International Workshop on AI-enabled Process Automation (AI-PA)
- 20th International Workshop on Engineering Service-Oriented Applications and Cloud Services (WESOACS)
- 1st International Workshop on Generative AI as a Software Service (GAISS)
- 1st International Workshop on Lightweight AI-based Services (LAIS)
- 1st International Workshop on Optimising AI Models Using Local Data on Resource-Constrained Edge Devices:Training & Inference(AI on Edge)
- 1st International Workshop on RealTime Service oriented and EMbedded Systems (RTSEMS)
- 2nd International Workshop on Services and Quantum Software Acronym (SQS)
- 1st International Workshop on Service-Oriented Computing, AI, and IoT for Smart Applications (SOCAISA)
- 1st International Workshop on Service-Oriented Computing for AI Applications (SOC4AI)
Deadlines :
- Workshop paper submissions due: 26 September 2024
- Notification to authors: 24 October 2024
- Camera ready manuscripts due: 31 October 2024
- Author registration: 31 October 2024
- Workshop Date: 3 December 2024
Submission :
https://easychair.org/conferences/?conf=icsoc2024
----------------------------------------------------------------------
9th International Workshop on Adaptive Service-oriented and Cloud Applications (ASOCA)
Workshop link: https://www.redcad.tn/events/asoca2024
----------------------------------------------------------------------
===== Workshop Goal:
The concept of adaptive and reconfigurable SOA has been introduced in order to describe architectures, which exhibit functional and non-functional properties. An adaptive and reconfigurable SOA can repair itself if any execution problems occur, in order to successfully complete its own execution, while respecting functional and NF agreements. In the design of an adaptive and reconfigurable software system, several aspects have to be considered. For instance, the system should be able to predict or to detect degradations and failures as soon as possible and to enact suitable recovery actions. Moreover, different NF requirements service levels might be considered in order to complete the execution in case of failure. Contributions are devoted to the design and the implementation of adaptive and reconfigurable service oriented and cloud applications and architectures.
===== Workshop chairs:
- Nesrine Khabou, University of Sfax, Tunisia
- Ismael Bouassida Rodriguez, University of Sfax, Tunisia
----------------------------------------------------------------------
5th International Workshop on Agility with Microservices Programming (AMP)
Workshop link: https://amp-workshops.github.io
----------------------------------------------------------------------
===== Workshop Goal:
The AMP workshop aims at collecting experiences on microservices adoption, reporting best practices, but also specially failure cases, so as to build community knowledge based on previous errors and successes. The workshop is open to experience reports from practitioners and academia. The fifth edition of AMP aims to continue the success of its previous editions from 2020 to 2023.
AMP workshops seeks to collect original work on the science and engineering of programming microservices, including but not limited to evolutionary and agile architectures, methods and tools, patterns, operational practices and DevOps, agile teams, programming languages and techniques for microservices, software quality aspects, metrics and software analytics, verification, test-driven approaches and testing, architectural refactoring, empirical studies and experience reports on microservices adoption and teaching.
===== Workshop chairs:
- Thatiane de Oliveira Rosa, University of Sao Paulo, Brazil
- Sandro Speth, University of Stuttgart, Germany
- Jonas Fritzsch, University of Stuttgart, Germany
----------------------------------------------------------------------
5th International Workshop on AI-enabled Process Automation (AI-PA)
Workshop link: https://aip-research-center.github.io/AIPA_workshop/2024
----------------------------------------------------------------------
===== Workshop Goal:
Business processes are central to the operation of public and private enterprises. Today, the advancement in Service Oriented Computing, Artificial Intelligence (AI) and Data Science has the potential to transform business processes in fundamental ways; by assisting knowledge workers in communicating analysis findings, supporting pieces of evidence and to make decisions.
The 5th International Workshop on AI-enabled Process Automation (AI-PA) will be held as one of the workshops of the 22nd International Conference on Service Oriented Computing (ICSOC 2024). The AI-PA workshop aims at providing a forum for researchers and professionals interested in Artificial Intelligence (AI) enabled Business Processes and Services; and in understanding, envisioning and discussing the opportunities and challenges of intelligent Process Automation, Process Data Analytics and providing Cognitive Assistants for knowledge workers.
===== Workshop chairs:
- Amin Beheshti, Macquarie University, Australia
- Boualem Benatallah, Dublin City University, Ireland
- Hamid Motahari, UpBrains AI, Inc. USA and Macquarie University, Australia
----------------------------------------------------------------------
20th International Workshop on Engineering Service-Oriented Applications and Cloud Services (WESOACS)
Workshop link: https://seiis.cut.ac.cy/wesoacs2024
----------------------------------------------------------------------
===== Workshop Goal:
Distributed service-oriented systems render a very effective way for delivering functional systems to clients. Cloud computing alleviates the need to purchase and maintain expensive and sophisticated hardware in order to support data processing and storing. Cloud computing systems minimize upfront investment, while at the same time promise to offer high levels of performance, high availability, on-demand scalability and elasticity, and fault tolerance. In addition, it is necessary to take into account the current need to develop frameworks and offer services in the fields of the Internet of Things and Smart Environments. Both domains have blossomed in the last years at a very fast speed and the advances are in continuous development. It is therefore necessary to investigate new methodologies, architectures, frameworks to support software development in both domains to match current technological advances and market needs.
On the other hand, in both cases, techniques of Artificial Intelligence (AI) may play a role of great relevance, especially with generative AI and Large Language Models (LLM) which are nowadays enabling technologies for Software Service Engineering. It is therefore necessary to provide the means for their integration within the proposals developed to provide predictive capabilities in the field of Internet of Things and Smart Environments. In a Service Oriented Computing environment multiple services of different origin, programming backbone and execution environment collaborate with each other to perform business process operations. It is therefore quite critical to provide an overall picture of these operations and assess the flow of execution in terms of performance, compliance to standards and tasks, and optimal use of resources. Process mining extracts information from log files of systems recorded during executions, and provides the means to perform such analysis depicting reality and supporting decision making.
===== Workshop chairs:
- Andreas S. Andreou, Cyprus University of Technology, Cyprus
- George Feuerlicht, Unicorn University, Czech Republic
- Willem-Jan van den Heuvel, Tilburg University, The Netherlands
- Winfried Lamersdorf, University of Hamburg, Germany
- Guadalupe Ortiz, University of Cádiz, Spain
- Christian Zirpins, Karlsruhe University of Applied Sciences, Germany
- Ala Arman, Sapienza University of Rome, Italy
----------------------------------------------------------------------
1st International Workshop on Generative AI as a Software Service (GAISS)
Workshop link: https://genaias.github.io
----------------------------------------------------------------------
===== Workshop Goal:
This workshop aims to explore the various obstacles and considerations involved in deploying Generative AI (GAI) technologies as scalable, reliable, and efficient software services. GAI holds great promise in automating content creation, data augmentation, and predictive analytics. However, integrating these advanced models into service-oriented architectures (SOA) introduces unique challenges that must be addressed to realize their full potential.
The contributions can address the scalability and performance, Integration and interoperability, Data privacy and security, Cost management, Service reliability and availability, Ethical and social implications, User experience and accessibility, Case studies and best practices.
===== Workshop chairs:
- Ali Ben Mrad, University of Sfax, Tunisia
- Eman Abdullah AlOmar, Stevens Institute of Technology, USA
- Brahim Hnich, University of Monastir, Tunisia
- Mohamed Wiem Mkaouer, University of Michigan-Flint, USA
----------------------------------------------------------------------
1st International Workshop on Lightweight AI-based Services (LAIS)
Workshop link: https://redcad.org/events/lais2024
----------------------------------------------------------------------
===== Workshop Goal:
LAIS 2024 aims to bring together AI researchers and experts on embedded systems to discuss the development of artificial intelligence services (AI services) and their deployment on edge and IoT devices, where hardware resources might be limited, and real-time processing is crucial. AI services typically use deep learning models that require significant computational resources, making them difficult to deploy on resource-limited devices such as IoT sensors. Processing such sensor data remotely using high-performance Cloud servers raises challenges in data privacy and communication bandwidth, especially in regions with limited connectivity. To address these issues, various methods have been proposed, including quantization, pruning, low-rank factorization, knowledge distillation (KD), and neural architecture search (NAS).
===== Workshop chairs:
- Afef Mdhaffar, University of Sfax, Tunisia
- Bernd Freisleben, University of Marburg, Germany
----------------------------------------------------------------------
1st International Workshop on Optimising AI Models Using Local Data on Resource-Constrained Edge Devices - Training & Inference (AI on Edge)
Workshop link: https://sites.google.com/view/edgeonai2024
----------------------------------------------------------------------
===== Workshop Goal:
Edge AI enables intelligent solutions deployed on edge devices, reducing latency, allowing offline execution, and providing strong privacy guarantees. However, bringing computational capabilities closer to data sources poses significant challenges in achieving both efficiency and accuracy for resource-constrained edge devices.
This workshop aims to explore the intricate trade-offs involved in optimising AI applications for edge environments. It addresses the critical need to balance high model accuracy with minimal resource consumption across diverse applications of Edge AI, including Healthcare, Autonomous Vehicles, Earth observation, Smart home and industrial automation, smart cities, Industrial Internet of Things (IIoT), generative AI (Gen AI), and large language models (LLMs).
===== Workshop chairs:
- David Moloney, Ubotica Technologies, Ireland
- Besma Guesmi, Ubotica Technologies, Ireland
- Jinen Daghrir, Ubotica Technologies, Ireland
- Imen Jegham, Ubotica Technologies, Ireland
- Sirine Miladi, Ubotica Technologies, Ireland
----------------------------------------------------------------------
1st International Workshop on RealTime Service oriented and EMbedded Systems (RTSEMS)
Workshop link: https://www.redcad.org/events/rtsems2024
----------------------------------------------------------------------
===== Workshop Goal:
RTSEMS addresses the modelling, implementation and assessment of real time and embedded services in software systems. Real-time and embedded services form the backbone of critical applications where timing, reliability, and resource efficiency are paramount. Real-time services, provided by components like Real-Time Operating Systems (RTOS), task schedulers, and interrupt handlers, ensure tasks are completed within strict deadlines, making them essential in fields such as aerospace, automotive, and industrial automation. Embedded services, including device drivers, middleware, and security services, optimize hardware interaction and safeguard operations within resource-constrained environments, prevalent in consumer electronics, healthcare, and home automation. Together, these services facilitate seamless integration, robust performance, and dependable functionality, enabling the creation of sophisticated systems that drive innovation and maintain operational excellence across diverse technological landscapes.
===== Workshop chairs:
- Wafa Gabsi, University of Sfax, Tunisia
- Bechir Zalila, University of Sfax, Tunisia
- Frank Singhoff, University of Brest, France
----------------------------------------------------------------------
2nd International Workshop on Services and Quantum Software Acronym (SQS)
Workshop link: https://sqs2024.spilab.es
----------------------------------------------------------------------
===== Workshop Goal:
Under the umbrella of quantum information theory, quantum algorithms have been proposed that solve in polynomial time problems for which there is no classical algorithm that solves in that order of complexity. The entry into the NISQ era with the development of the first quantum computers and simulators now makes it possible to test such algorithms on real computers. This generates new expectations and promotes growing interest in Quantum Computing. More and more researchers are proposing solutions in the quantum domain either to optimise existing algorithmic approaches in terms of number of qbits or circuits depth, to propose solutions to deal with decoherence and quantum error, or to propose new algorithms for uncovered problems. All these efforts, coupled with the fact that more and more media reports on quantum computing achievements appear, are inviting industry to look towards Quantum Computing to explore the possibilities it can offer. Some countries have launched specific programmes inviting industry and academia to explore together the applicability in different sectors, the current limitations of quantum technologies and their expected evolution over time. The objective is to be prepared for the future uptake of Quantum Computing in industry.
All of the above is evidence that quantum software is already a reality. It is commonly accepted that future software will be hybrid integrating both, classical pieces and quantum pieces because nearly each quantum algorithm requires classical preprocessing or postprocessing. With this, interest is also beginning to appear from researchers in the field of Software Engineering. The question arises as to whether all that has been learned over the last decades is still applicable in this new era. The first forums focusing on the field of Quantum Software Engineering have already appeared. Examples are Q-SE at ICSE, QSW at IEEE Services or Q-SET at IEEE Quantum Week. Many interesting works have been presented in these forums on how to approach certain software engineering practices now in the context of Quantum Computing. Topics such as how to build hybrid software architectures, orchestrate quantum systems, build models that enable automatically generating quantum software, build quantum software with better quality attributes, etc. are being addressed in these forums.
Since it is clear that future information systems will be hybrid, it is necessary to start designing the way in which the integration between the classical and quantum parts of the systems will take place. This is where Service Oriented Computing can provide techniques for this. The aim of this workshop is to bring together experienced participants interested in discussing different techniques for building information systems by composing classical services with hybrid services.
===== Workshop chairs:
- Johanna Barzen, University of Stuttgart, Germany
- Schahram Dustdar, TU Wien, Austria
- Frank Leymann, University of Stuttgart, Germany
- Jose Garcia-Alonso, University of Extremadura, Spain
----------------------------------------------------------------------
1st International Workshop on Service-Oriented Computing, AI, and IoT for Smart Applications (SOCAISA)
Workshop link: http://socaisa.com
----------------------------------------------------------------------
===== Workshop Goal:
SOCAISA aims to delve into the synergy between Service Oriented Computing (SOC), Artificial Intelligence (AI), and Internet of Things (IoT) to overcome critical challenges of interoperability and scalability in the realm of smart applications. This convergence represents a pivotal opportunity to advance both theoretical research and practical implementations, fostering intelligent and interconnected systems that are robust, adaptable, and efficient.
Interoperability Challenges:
In the context of SOC and IoT, interoperability remains a fundamental challenge due to the diverse nature of devices, protocols, and service interfaces. AI techniques offer promising solutions by enabling systems to autonomously understand and adapt to varying data formats, communication protocols, and service requirements. Machine learning algorithms, for instance, can analyze data from disparate IoT devices, identify patterns, and facilitate seamless integration within SOC frameworks. Additionally, natural language processing (NLP) and semantic technologies can standardize and interpret service descriptions, thereby enhancing service discovery and composition across heterogeneous environments.
Scalability Solutions:
Scalability is another critical concern as IoT deployments continue to expand exponentially, generating massive volumes of data that SOC frameworks must efficiently process and manage. AI-driven approaches such as edge computing and distributed learning enable decentralized decision-making and data processing, reducing latency and enhancing scalability. By leveraging AI algorithms for predictive analytics and resource allocation, SOC architectures can dynamically scale services based on real-time demand, optimizing performance without compromising efficiency.
===== Workshop chairs:
- Mohammed Karim Guennoun, Ecole Hassania des Travaux Publics, Casablanca, Morocco.
- Said Tazi, LAAS-CNRS, Toulouse, France
----------------------------------------------------------------------
1st International Workshop on Service-Oriented Computing for AI Applications (SOC4AI)
Workshop link: https://ai4soc-workshop.onrender.com
----------------------------------------------------------------------
===== Workshop Goal:
The AI4SOC Workshop aims to bring together researchers, practitioners, and enthusiasts from the fields of Artificial Intelligence and Service-Oriented Computing. The workshop will provide a platform for sharing cutting-edge research, innovative ideas, and practical experiences. Our focus will be on the intersection of AI technologies and service-oriented computing, exploring how AI can enhance the development, deployment, and management of service-based systems.
===== Workshop chairs:
- José Antonio Parejo Maestre, Universidad de Sevilla, Spain
- José María García, Universidad de Sevilla, Spain
- Víctor Casamayor Pujol, Technical University of Viena, Austria
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