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Efficient Algorithms For Multi File Caching
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Book Synopsis Efficient Algorithms for Multi-file Caching by :
Download or read book Efficient Algorithms for Multi-file Caching written by and published by . This book was released on 2004 with total page 5 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-File Caching issues arise in applications where a set of jobs are processed and each job requests one or more input files. A given job can only be started if all its input files are preloaded into a disk cache. Examples of applications where Multi-File caching may be required are scientific data mining, bit-sliced indexes, and analysis of sets of vertically partitioned files. The difference between this type of caching and traditional file caching systems is that in this environment, caching and replacement decisions are made based on ''combinations of files (file bundles), '' rather than single files. In this work we propose new algorithms for Multi-File caching and analyze their performance. Extensive simulations are presented to establish the effectiveness of the Multi-File caching algorithm in terms of job response time and job queue length.
Book Synopsis Efficient Analysis of Caching Systems by : James Gordon Thompson
Download or read book Efficient Analysis of Caching Systems written by James Gordon Thompson and published by . This book was released on 1987 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: This disseration describes innovative techniques for efficiently analyzing a wide variety of cache designs, and uses these techniques to study caching in a network file system. The techniques are significant extensions to the stack analysis technique (Mattson et al., 1970) which computes the read miss ratio for all cache sizes in a single trace-driven simulation. Stack analysis is extended to allow the one-pass analysis of: 1) writes in a write-back cache, including periodic write-back and deletions, important factors in file system cache performance. 2) sub-block or sector caches, including load-forward prefetching. 3) multi-processor caches in a shared-memory system, for an entire class of consistency protocols, including all of the well-known protocols. 4) client caches in a network file system, using a new class of consistency protocols. The techniques are completely general and apply to all levels of memory hierarchy, for processor caches to disk and file system caches. The disseration also discusses the use of hash table and binary trees within the simulator to further improve performance for some types of traces. Using these techniques, the performance of all cache sizes can be computed in little more than twice the time required to simulate a single cache size, and often in just 10% more time. In addition to resenting techniques, this disseration also demonstrates their use by studying client caching in a network file system. It first reports the extent of file sharing in a UNIX environment, showing that a few shared files account for two-thirds of all accesses, and nearly half of these are to files which are both read and written. It then studies different cache consistency protocols, write policies, and fetch policies, reporting the miss ratio and file server utilization for each. Four cache consistency protocols are considered: a polling protocol that uses the server for all consistency controls; a protocol designed for single-user files; one designed for read-only files; and one using write-broadcast to maintain consistency. It finds that the choice of consistency protocol has substantial effect on performance; both the read- only and write-broadcast protocols showed half the misses and server load of the polling protocol. The choice of write or fetch policy made a much smaller difference.
Book Synopsis Optimal File-bundle Caching Algorithms for Data-grids by :
Download or read book Optimal File-bundle Caching Algorithms for Data-grids written by and published by . This book was released on 2004 with total page 5 pages. Available in PDF, EPUB and Kindle. Book excerpt: The file-bundle caching problem arises frequently in scientific applications where jobs need to process several files simultaneously. Consider a host system in a data-grid that maintains a staging disk or disk cache for servicing jobs of file requests. In this environment, a job can only be serviced if all its file requests are present in the disk cache. Files must be admitted into the cache or replaced in sets of file-bundles, i.e. the set of files that must all be processed simultaneously. In this paper we show that traditional caching algorithms based on file popularity measures do not perform well in such caching environments since they are not sensitive to the inter-file dependencies and may hold in the cache non-relevant combinations of files. We present and analyze a new caching algorithm for maximizing the throughput of jobs and minimizing data replacement costs to such data-grid hosts. We tested the new algorithm using a disk cache simulation model under a wide range of conditions such as file request distributions, relative cache size, file size distribution, etc. In all these cases, the results show significant improvement as compared with traditional caching algorithms.
Book Synopsis Using Multiple Experts to Perform File Prediction by : Karl S. Brandt
Download or read book Using Multiple Experts to Perform File Prediction written by Karl S. Brandt and published by . This book was released on 2004 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Trace-driven Comparison of Algorithms for Multi-process Prefetching and Caching by : Carnegie-Mellon University. Computer Science Dept
Download or read book A Trace-driven Comparison of Algorithms for Multi-process Prefetching and Caching written by Carnegie-Mellon University. Computer Science Dept and published by . This book was released on 1996 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Recently two groups of researchers have proposed systems that exploit application knowledge to improve I/O performance. Both systems use application knowledge to prefetch data thereby masking I/O latency and to improve file buffer cache performance thereby avoiding slow I/O accesses altogether. Unfortunately, published studies of these two systems are incomparable. This technical report is a follow-on to a paper to appear in OSDI96 comparing the TIP2 system of Patterson, Gibson, et al, and the LRU-SP system of Cao, Felten, Karlin and Li, co-written by the two groups. The OSDI paper considers the case of a single process with full advance knowledge of requests. In this technical report we consider multiple processes, each of which has either full advance knowledge (complete hints) or no advance knowledge (no hints). Our results can be summarized as follows: the cost-benefit analysis of TIP2 allows better performance when optimal buffer allocation does not correspond to process consumption rates."
Book Synopsis A Trace-driven Comparison of Algorithms for Multi-process Prefetching and Caching by : Carnegie Mellon University. Computer Science Department
Download or read book A Trace-driven Comparison of Algorithms for Multi-process Prefetching and Caching written by Carnegie Mellon University. Computer Science Department and published by . This book was released on 1996 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Recently two groups of researchers have proposed systems that exploit application knowledge to improve I/O performance. Both systems use application knowledge to prefetch data thereby masking I/O latency and to improve file buffer cache performance thereby avoiding slow I/O accesses altogether. Unfortunately, published studies of these two systems are incomparable. This technical report is a follow-on to a paper to appear in OSDI96 comparing the TIP2 system of Patterson, Gibson, et al, and the LRU-SP system of Cao, Felten, Karlin and Li, co-written by the two groups. The OSDI paper considers the case of a single process with full advance knowledge of requests. In this technical report we consider multiple processes, each of which has either full advance knowledge (complete hints) or no advance knowledge (no hints). Our results can be summarized as follows: the cost-benefit analysis of TIP2 allows better performance when optimal buffer allocation does not correspond to process consumption rates."
Book Synopsis Cache-efficient Multigrid Algorithms by : Sriram Sellappa
Download or read book Cache-efficient Multigrid Algorithms written by Sriram Sellappa and published by . This book was released on 2000 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book FFRU written by Benjamin Garrett and published by . This book was released on 2021 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cache replacement policies have applications that are nearly ubiquitous in technology. Among these is an interesting subset which occurs when referentially transparent functions are memoized, eg. in compilers, in dynamic programming, and other software caches. In many applications the least recently used (LRU) approach likely preserves items most needed by memoized function calls. However, despite its popularity LRU is expensive to implement, which has caused a spate of research initiatives aimed at approximating its cache miss performance in exchange for faster and more memory efficient implementations. We present a novel caching algorithm, Far From Recently Used (FFRU), which offers a simple, but highly configurable mechanism for providing lower bounds on the usage recency of items evicted from the cache. This algorithm preserves the constant time amortized cost of insertions and updates and minimizes the memory overhead needed to administer the eviction guarantees. We study the cache miss performance of several memoized optimization problems which vary in the number of subproblems generated and the access patterns exhibited by their recursive calls. We study their cache miss performance using LRU cache replacement, then show the performance of FFRU in these same problem scenarios. We show that for equivalent minimum eviction age guarantees, FFRU incurs fewer cache misses than LRU, and does so using less memory. We also present some variations of the algorithms studied (Fibonacci, KMP, LCS, and Euclidean TSP) which exploit the characteristics of the cache replacement algorithms being employed, further resulting in improved cache miss performance. We present a novel implementation of a well known approximation algorithm for the Euclidean Traveling Salesman Problem due to Sanjeev Arora. Our implementation of this algorithm outperforms the currently known implementations of the same. It has long remained an open question whether or not algorithms relying on geometric divisions of space can be implemented into practical tools, and our powerful implementation of Arora's algorithm establishes a new benchmark in that arena.
Book Synopsis Efficient Caching Algorithms for Memory Management in Computer Systems by : Song Jiang
Download or read book Efficient Caching Algorithms for Memory Management in Computer Systems written by Song Jiang and published by . This book was released on 2004 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Cooperative Caching by : Michael D. Dahlin
Download or read book Cooperative Caching written by Michael D. Dahlin and published by . This book was released on 1994 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis File Caching in Data Intensive Scientific Applications by : Ekow Otoo
Download or read book File Caching in Data Intensive Scientific Applications written by Ekow Otoo and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We present some theoretical and experimental results of animportant caching problem that arises frequently in data intensivescientific applications. In such applications, jobs need to processseveral files simultaneously, i.e., a job can only be serviced if all itsneeded files are present in the disk cache. The set of files requested bya job is called a file-bundle. This requirement introduces the need forcache replacement algorithms based on file-bundles rather then individualfiles. We show that traditional caching algorithms such Least RecentlyUsed (LRU), and GreedyDual-Size (GDS), are not optimal in this case sincethey are not sensitive to file-bundles and may hold in the cachenon-relevant combinations of files. In this paper we propose and analyzea new cache replacement algorithm specifically adapted to deal withfile-bundles. We tested the new algorithm using a disk cache simulationmodel under a wide range of parameters such as file requestdistributions, relative cache size, file size distribution, and queuesize. In all these tests, the results show significant improvement overtraditional caching algorithms such as GDS.
Author :University of Michigan. Dept. of Electrical Engineering and Computer Science. Computer Science and Engineering Division Publisher : ISBN 13 : Total Pages :100 pages Book Rating :4.:/5 (273 download)
Book Synopsis Efficient Simulation of Multiple Cache Configurations Using Binomial Trees by : University of Michigan. Dept. of Electrical Engineering and Computer Science. Computer Science and Engineering Division
Download or read book Efficient Simulation of Multiple Cache Configurations Using Binomial Trees written by University of Michigan. Dept. of Electrical Engineering and Computer Science. Computer Science and Engineering Division and published by . This book was released on 1991 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms are developed that use the data structures to determine miss ratios for the caches in each class. Analytical and empirical comparisons of the algorithms to previously published algorithms such as all-associativity and forest simulation are presented. Analytically it is shown that the new algorithms always perform better than earlier algorithms. Empirically, the new algorithms are shown to outperform earlier ones by factors of 1.0 to 5.0."
Book Synopsis An Efficient Algorithm for Caching Online Analytical Processing Objects in a Distributed Environment by : Akash S. Kamath
Download or read book An Efficient Algorithm for Caching Online Analytical Processing Objects in a Distributed Environment written by Akash S. Kamath and published by . This book was released on 2002 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Reliable, Efficient and Distributed Cooperative Caching for Improving File System Performance by :
Download or read book Reliable, Efficient and Distributed Cooperative Caching for Improving File System Performance written by and published by . This book was released on 2001 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Emerging high performance, high speed and scalable networks allow machines to access remote memory quicker than accessing disks. This paves way for coordinating the file caches of workstations in a distributed local area network, known as Cooperative Caching. This study introduces a novel cache architecture for cooperative caching called Reliable, Efficient and Distributed Cooperative Cache''. We present three algorithms - Server Logging, Client Logging and Peer Logging - that combine duplication with logging in order to improve the write performance of cooperative caching while ensuring the reliability of the data. We evaluate the performance of the logging algorithms using trace driven simulations. Several synthetic traces and two real world traces were used to measure the performance improvement obtained by the algorithms. The simulations indicate that the speedup obtained is as high as 10 compared to the baseline system. Based on the simulations, we conclude that the logging algorithms make complete use of the cooperative caching environment and provide better overall improvement by reducing the response time of write requests, improving individual client performance, minimizing the load on the server and ensuring reliability and availability of data.
Book Synopsis Database and Expert Systems Applications by : Fernando Galindo
Download or read book Database and Expert Systems Applications written by Fernando Galindo and published by Springer Science & Business Media. This book was released on 2004-08-19 with total page 993 pages. Available in PDF, EPUB and Kindle. Book excerpt: DEXA 2004, the 15th International Conference on Database and Expert Systems Applications, was held August 30 ? September 3, 2004, at the University of Zaragoza, Spain. The quickly growing spectrum of database applications has led to the establisment of more specialized discussion platforms (DaWaK Conference, EC-Web Conference, EGOVConference, Trustbus Conference and DEXA Workshop: Every DEXA event has its own conference proceedings), which were held in parallel with the DEXA Conference also in Zaragoza. In your hands are the results of much effort. The work begins with the preparation of the submitted papers, which then go through the reviewing process. The accepted papers are revised to final versions by their authors and are then arranged within the conference program. All culminates in the conference itself. For this conference 304 papers were submitted, and I want to thank to all who contributed to it; they are the real base of the conference. The program committee and the supporting reviewers produced altogether 942 referee reports, in average 3,1 reports per paper, and selected 92 papers for presentation. At this point we would like to say many thanks to all the institutions that actively supported this conference and made it possible. These were: • University of Zaragoza • FAW • DEXA Association • Austrian Computer Society
Book Synopsis Efficient and Adaptive Schemes for Consistent Information Sharing in Wireless Mobile and Peer-to-peer Networks by : Zhijun Wang
Download or read book Efficient and Adaptive Schemes for Consistent Information Sharing in Wireless Mobile and Peer-to-peer Networks written by Zhijun Wang and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: With the tremendous growth of applications in wireless mobile and Peer-to-Peer (P2P) networks, significant research efforts have been made to improve the quality of service. Caching and replicating frequently used data objects or files in user's local buffers are popular mechanisms to effectively reduce the communication bandwidth requirement and thus improve the overall system performance. However, the frequent disconnections of users make data consistency a difficult task in wireless mobile and P2P networks. In this dissertation, we design and analyze a Scalable Asynchronous Cache Consistency Scheme (SACCS) for single cell wireless cellular networks. SACCS is a highly scalable, efficient, and low complexity scheme and works well in error-prone wireless mobile environments. Analytical results indicate that SACCS provides very good cache consistency in error-prone wireless environments. Comprehensive simulation results show that SACCS offers more than 50% performance gain than that of existing Timestamp (TS) and Asynchronous Stateful (AS) schemes; We also propose Dynamic SACCS (DSACCS) for multi-cell mobile environments. To the best of our knowledge, DSACCS is the first cache consistency scheme that optimizes cache performance in multi-cell mobile environments. In P2P networks, some files are heavily replicated to enhance their availability and reduce the search cost. With the dramatic growth in P2P applications dealing with dynamic files, file updates and the file consistency maintenance become critical. To effectively propagate update information to the replica peers, we propose an efficient algorithm, called Update Propagation Through Replica Chain (UPTReC), in decentralized and unstructured P2P networks to provide weak file consistency. To provide strong file consistency, we develop another algorithm, called file Consistency Maintenance through Virtual servers (CMV). In CMV, each dynamic file has a virtual server and any file update must be accepted through the virtual server to maintain one copy serializability of the file. To the best of our knowledge, CMV is the first strong file consistency algorithm for decentralized and unstructured P2P networks. Our simulation results show that UPTReC algorithm outperforms other existing algorithms, and CMV is an efficient file consistency algorithm with very low overhead messages.
Book Synopsis Database and Expert Systems Applications by :
Download or read book Database and Expert Systems Applications written by and published by . This book was released on 2004 with total page 1008 pages. Available in PDF, EPUB and Kindle. Book excerpt:
