Net Framework 35 SP1 Compressed Only 60 MBzip
Alfonzo Liebenstein
A DEFLATE stream is a sequence ofblocks,where each block may be compressed or non-compressed.Compressed blocks are what we usually think of;for example the kernel is one big compressed block.But there are also non-compressed blocks,which start with a5-byte headerwith a length field that means simply, "output the next n bytes verbatim."Decompressing a non-compressed block means only stripping the 5-byte header.Compressed and non-compressed blocks may be intermixed freelyin a DEFLATE stream.The output is the concatenation ofdecompressing all the blocks in order.The "non-compressed" notion only has meaning at the DEFLATE layer;the file data still counts as "compressed" at the zip layer,no matter what kind of blocks are used.
flying_gel:"If I unzip this onto a compressed zfs dataset, will the resulting file be small? Edit: Just did a small test with a 42KB->5.5GB zip bomb. I ended up with 165MB worth of files so while just 3% of the full bomb, it's still a 4028 times inflation. ... I only have the standard LZ4 compression enabled, no dedup."
I am trying to upload my Laravel test project to hosting using filezilla. It weighs about 57MB. There are a lot of files in the framework, more than 7000 in total, only 150 files were loaded in an hour and about 40-50 more were unsuccessful. What is the problem? Is this a free hosting limitation? For me, the project will be loaded for a week.
Hi,
I am currently facing the issue, that when I try to make a zip file of large .XPT datasets (>5Gb) in SAS EG the large datasets does not get compressed and the zip file is not created correctly. I do not get any error or warning and the zip file is created but the large dataset is not compressed as expected. I do not get this issue with smaller datasets it only occurs with these large datasets.
However, this is actually not my issue. I do not get the note you are talking about in my log (link). I do not get any note similar to that. The zip file is created but the large dataset is not compressed while all the other minor datasets are compressed in the zip file. The zip file in itself is only 200Mb. So you can say that it seems like it it compressed but when opening and examining the zip file the large dataset is still >5Gb. So something is going wrong with these large datasets.
Skewed write-intensive key-value storage workloads are increasingly observed in modern data centers, yet they also incur server overloads due to load imbalance. Programmable switches provide viable solutions for realizing load-balanced caching on the I/O path, and hence implementing write-back caching in programmable switches is a natural direction to absorb frequent writes for high write performance. However, enabling in-switch write-back caching is non-trivial, as it not only is challenged by the strict programming rules and limited stateful memory of programmable switches, but also necessitates reliable protection against data loss due to switch failures. We propose FarReach, a new caching framework that supports fast, available, and reliable in-switch write-back caching. FarReach carefully co-designs both the control and data planes for cache management in programmable switches, so as to achieve high data-plane performance with lightweight control-plane management. Experiments on a Tofino switch testbed show that FarReach achieves a throughput gain of up to 6.6 over a state-of-the-art in-switch caching approach under skewed write-intensive workloads.
Memory optimization kernel features, such as memory deduplication, are designed to improve the overall efficiency of systems like datacenter servers, and they have proven to be effective. However, when invoked, these kernel features notably disrupt the execution of applications, intensively consuming the server CPU's cycles and polluting its caches. To minimize such disruption, we propose STYX, a framework for offloading the intensive operations of these kernel features to SmartNIC (SNIC). STYX first RDMA-copies the server's memory regions, on which these kernel features intend to operate, to an SNIC's memory region, exploiting SNIC's RDMA capability. Subsequently, leveraging SNIC's (underutilized) compute capability, STYX makes the SNIC CPU perform the intensive operations of these kernel features. Lastly, STYX RDMA-copies their results back to a server's memory region, based on which it performs the remaining operations of the kernel features. To demonstrate the efficacy of STYX, we re-implement two memory optimization kernel features in Linux: (1) memory deduplication (ksm) and (2) compressed cache for swap pages (zswap), using the STYX framework. We then show that a system with STYX provides a 55-89% decrease in 99th-percentile latency of co-running applications, compared to a system without STYX, while preserving the benefits of these kernel features.
Following a 2-year effort, the U.S. Geological Survey (USGS) has released Open-File Report96-96, Data Base for a National Mineral-Resource Assessment of Undiscovered Deposits ofGold, Silver, Copper, Lead, and Zinc in the Conterminous United States. This is the first timethat probabilistic estimates of the amounts of undiscovered gold, silver, copper, lead, andzinc in conventional types of mineral deposits have been provided in a single report. Theresults of the assessment are presented in an interactive Compact Disc Read Only Memory(CD ROM). Assessment MethodFor this assessment, the conterminous United States was divided into 12 regions AdirondackMountains, Central and Southern Rocky Mountains, Colorado Plateau, East Central, Great Basin,Great Plains, Lake Superior, Northern Appalachians, Northern Rocky Mountains, Pacific Coast,Southern Appalachians, and Southern Basin and Range. The assessment, which was conductedby regional assessment teams of scientists from the USGS, was based on the concepts ofpermissive tracts and deposit models. Permissive tracts are discrete areas of the UnitedStates for which estimates of numbers of undiscovered deposits of a particular deposit typewere made. A permissive tract is defined by its geographic boundaries such that theprobability of deposits of the type delineated occurring outside the boundary is neglible.Deposit models, which are based on a compilation of worldwide literature and on observation,are sets of data in a convenient form that describe a group of deposits which have similarcharacteristics and that contain information on the common geologic attributes of thedeposits and the environments in which they are found. Within each region, the assessmentteams delineated permissive tracts for those deposit models that were judged to beappropriate and, when the amount of information warranted, estimated the number ofundiscovered deposits. A total of 46 deposit models were used to assess 236 separatepermissive tracts. Estimates of undiscovered deposits were limited to a depth of 1 kmbeneath the surface of the Earth.The estimates of the number of undiscovered deposits of gold, silver, copper, lead, and zincwere expressed in the form of a probability distribution. Commonly, the number ofundiscovered deposits was estimated at the 90th, 50th, and 10th percentiles. A Monte Carlosimulation computer program was used to combine the probability distribution of the numberof undiscovered deposits with the grade and tonnage data sets associated with each depositmodel to obtain the probability distribution for undiscovered metal.Assessment ResultsThe greatest amount of undiscovered copper is anticipated to occur in undiscovered porphyrycopper deposits in the Southern Basin and Range region of the country. Although this part ofthe country has been extensively explored, the amount of undiscovered copper that isestimated to exist suggests that a greater effort might be devoted to improving explorationtechnologies and to developing a better understanding of the occurrence of this type ofdeposit.The greatest amount of undiscovered gold is anticipated to occur in the Great Basin region ofthe country in principally two deposit types hot-spring gold-silver and sediment-hosted gold. Of the two types, hot-spring gold-silver is expected to contain the greater amount of gold. This is a deposit type that warrants a greater effort in data gathering, particularly for thosetracts that were delineated as being permissive for this type of deposit, but for whichquantitative estimates were not made. The greatest amount of undiscovered silver is anticipated to occur in sediment-hosted(red-bed) copper deposits mostly in the Northern Rocky Mountains region of the country. There were tracts in this region which were not assessed quantitatively; this suggests thatmore detailed information is needed for assessing those areas judged permissive for thisdeposit type. The large areas of these tracts also suggest that the recognition criteria forthis type of deposit needs to be improved.The greatest amounts of undiscovered lead and zinc are anticipated to occur in the EastCentral and the Great Plains regions of the country, principally in replacement type depositsexemplified by the Mississippi Valley type. The large areas of these tracts suggests thatgreater efforts should be made to improve recognition criteria so as to delineate better theareas of permissiveness for this type of deposit.The accompanying map shows the combined permissive areas for the conterminous UnitedStates and estimates of the gross value of the estimated contained metal at today's prices forgold, silver, copper, lead, and zinc in undiscovered deposits in each of the 12 regions of thecountry. For each region, the 10th fractile (upper), the 90th fractile (lower), and the meanestimate of the gross value is given. At today's prices, the gross value of gold, silver, copper,lead, and zinc in undiscovered deposits is estimated to be $1.2 trillion. This can be comparedwith the gross value at today's prices of the discovered (past production plus remainingreserves) gold, silver, copper, lead, and zinc, which is calculated to be $1.4 trillion. Thus, forconventional-type deposits in the conterminous 48 States, exluding discovered material(identified resources) that have not been produced and are not currently classified asreserves, about as much is left to be discovered as has already been discovered.Use of AssessmentsThe uses of national assessments in long-range planning are primarily threefold. First andforemost is a look to the future. Current mineral inventories are necessarily finite and tieddirectly to current technologies. To meet future demands, new sources of raw materials mustbe found and new technologies must be developed to accomodate the processing of materialsfor the most part at progressively lower grades or for new materials that provide a propertyneeded by society. Second is an ability to identify emerging issues. As a nation's economyevolves, greater attention needs to be paid to land use and the state of the environment. National assessments provide the framework for addressing these issues at the regional andlocal levels. The need is to know where future resources may be located, how much metalsuch resources may contain, and what environmental impacts may result from the extractionof such resources are important considerations. Third is the role of national assessments inrisk management. At issue are risks associated with resource adequacy, economic security,and environment degradation. By assessing the comparative risks, meeting society'simmediate needs will avoid unnecessarily pre-empting solutions to future needs. Nationalassessments are critical tools for making prudent decisions for the future.Download the CD as one compressed volume [30 MB ZIP file]
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