Concepts, techniques, and case studies are well integrated so many design and implementation details look obvious to the student. Exceptionally clear explanations of concepts are offered, and coverage of both fundamentals and such cutting-edge material like encryption and security is included. The numerous case studies are tied firmly to real-world experiences with operating systems that students will likely encounter.
In computing, preemption is the act of temporarily interrupting a task being carried out by a computer system, without requiring its cooperation, and with the intention of resuming the task at a later time.
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Preemption of a program occurs when an interrupt arises during its execution and the scheduler selects some other programs for execution. [Operating Systems: a Concept-based Approach, 2E, D. M. Dhamdhere]
So, what I understood is that we have process preemption if the process is interrupted (by a hardware interrupt, i.e. I/O interrupt or timer interrupt) and the scheduler, invoked after handling the interrupt, selects another process to run (according to the CPU scheduling algorithm). If the scheduler selects the interrupted process we have no process preemption (interrupts do not necessarily cause preemption).
You can see that the same book reports two different definitions of preemption. In the latter it is not mentioned that the CPU must be allocated to another process. According to this definition, preemption is just another name for 'interruption'. When a hardware interrupt arises, the process is interrupted (it switches from "Running" to "Ready" state) or preempted.
A process can voluntarily yield the CPU when it no longer can execute. E.g. after doing I/O to disk (which will take a long time to complete). Some systems only support voluntary yielding (cooperative multitasking).
If a process is compute-bound, it would hog the CPU, no allowing other processes to execute. Most operating systems use a timer interrupt. If the interrupt handler finds that the current process has executed for at least a specified period of time and there are other processes that can execute the OS will switch processes.
Talk Abstract: Network delay is a crucial metric for evaluating the state of the network.We present in this work a structural analysis of network delay, based on active delay measurements of a backbone network, i.e. Between Norway and china.This delay analysis is performed using a subspace method called Principal Component Analysis (PCA).The analysis reveals that the delay time series can be decomposed into two constituents:A smooth periodic trend and the impulsive sparse burst. We call the former the "normal" component and the latter the "abnormal" component.While this structural decomposition is appealing, essentially useful for network state inference and diagnosis; we find that using PCA in delay analysis has the same challenges as used in traffic analysis. Particularly, it experiences performance degradation due to the so called "perturbation phenomenon".Different issues may appear with this problem:How to cope with PCA weakness for network delay analysis?How PCA-based delay analysis, may be used for network state inference?
Talk Abstract: Internet topology generation involves producing realistic synthetic network topologies which imitates the characteristics of the Internet. Although the accuracy of a newly developed network protocol or algorithm does not considerably depend on the underlying topology, the performance is highly dependent on it. As a result, synthetic topologies are widely utilized by network researchers to analyze performance of their design in simulation/emulation environment. Previous studies on Internet topology generation have ignored subnetworks, which causes the failure of the generated topologies to reflect some crucial characteristics of the Internet. Most topologies are composed of only point to point links which results in a misunderstanding of the degree distribution of the Internet. In this study, we propose a subnet based Internet topology generator. Our study emphasizes the distinction between the observed degree distribution and the real degree distribution. Subnet based synthetic topologies capture both observed degree distribution and subnet distribution based on Internet measurement studies.
Talk Abstract: The objective of this talk is to give an update on TopHat, which has been introduced last year as an young measurement infrastructure deployed mainly on PlanetLab, with the initial objective of supporting user experiments at variousstages of their lifetime. Information gathered about the testbed is used to helpexperimenters select their resources, leveraging the topological and geographical diversity of PlanetLab. On-demand measurements are also available,and allow to create alerts when conditions of the testbed change. Finally it ispossible to query historical archive.
One specificity of the system is to allow the interconnection with third-party measurement infrastructures, to extend its scope, scale and functionalities.The objective is twofold: allowing studies at an even larger scale, and enriching available datasets to increase their value for users. After a short demo, we will introduce our current and future plans for improving the interconnection framework and foster data exchange.
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Talk Abstract: Network researchers have a need for higher volume and diversity in network measurement data. In this talk, we wil discuss some nascent data-sharing initiatives. The RIPE Measurement, Analysis, and Tools Working Group, together with RIPE NCC, is working to define a system for normalizing and sharing Internet measurements. At a more technical level, Network Measurement Reporting is a mechanism to collect and disseminate broad-based measurements from across the Internet.
Interested in discussing:
Talk Abstract: Explicit congestion notification (ECN) is a key building block in a number ofongoing standardization efforts [Conex] and research projects[Alizadeh]. This paper therefore sought to survey the current state of ECN support on the Internet, updating and extending a similar survey from 2008 [Langley]. (There are a number of reasons to suspect the state of ECN support may have changed including 'server-side ECN' becoming the default on recent versions of the Linux kernel.) In the process of conducting our survey we discovered that some routers incorrectly handle the ECN bits in the IP header, namely clearing the ECT bit. Given that this is a new impediment to using ECN, we sought to carefully measure exactly where this problem occurred. While measuring ECN support to web servers is straightforward, we developed novel active/passive hybrid approaches for collecting similar measurements of paths to clients. This is important because even if some servers support ECN, if the paths to clients contain impediments to ECN usage (which we show they do) the incremental deployment of ECN is harmed.
Talk Abstract: Current large-scale topology mapping systems require multiple days tocharacterize the Internet due to the large amount ofprobing traffic they incur. The accuracy of maps from existingsystems is unknown, yet empirical evidence suggests that additionalfine-grained probing exposes hidden links and temporal dynamics.Through longitudinal analysis of data from the Archipelago and iPlanesystems, in conjunction with our own active probing, we examine how toshorten Internet topology mapping cycle time. In particular, thiswork develops discriminatory primitives that maximize topologicalfidelity while being efficient.
Talk Abstract: Evaluating and characterizing access ISPs is critical to subscribersshopping for alternative ISPs, companies providing reliable Internetservices, and governments surveying the availability of high-speed Internetservices to their citizens. Ideally, ISP characterization should be done (i)at scale, to capture the diversity of available providers and theirservices, (ii) by end users, to guarantee accuracy, and (iii) continuously,to capture dynamic changes due to management policies (e.g. oversubscribednetworks) and unscheduled events (i.e. service interruptions). Today, allexisting approaches for profiling edge network services offer an apparentlyunavoidable tradeoff between these goals. This talk presents a novelsoftware-based approach to ISP characterization at the edge of the networkthat leverages the detailed views offered by popular networked applications.We call the approach C2E - Crowdsourced ISP Characterization at the NetworkEdge. By passively monitoring user-generated traffic within theseapplications, C2E is able to capture the end usersR view in a scalablemanner. By combining passive monitoring with dynamically extensive, ondemand, active measurements, it can achieve the effectiveness ofhardware-based solutions, without their associated costs, while retainingthe control, adaptability, and low-barrier to adoption of software-basedmodels. We have deployed a prototype implementation of the proposed approachas an extension to a popular BitTorrent client. Our extension, code namedDasu, has already been adopted by more than 20,000 users over the last fewmonths, providing an almost ideal platform for experimentation.
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