Cache Performance Of Binary Search Trees And Analyzing Victim Caches

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Cache Performance Of Binary Search Trees And Analyzing Victim Caches

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Author : Eric K. Lee
language : en
Publisher:
Release Date : 2005

Cache Performance Of Binary Search Trees And Analyzing Victim Caches written by Eric K. Lee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.

Efficient Analysis Of Caching Systems

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Author : James Gordon Thompson
language : en
Publisher:
Release Date : 1987

Efficient Analysis Of Caching Systems written by James Gordon Thompson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with categories.

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.

The Effects Of Spatial Locality On The Cache Performance Of Binary Search Trees

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Author : Thomas Briggs Puzak
language : en
Publisher:
Release Date : 2006

The Effects Of Spatial Locality On The Cache Performance Of Binary Search Trees written by Thomas Briggs Puzak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.

An Analysis Of Caching With An Application To Binary Storage Trees

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Author : Jiang-hsing Chu
language : en
Publisher:
Release Date : 1989

An Analysis Of Caching With An Application To Binary Storage Trees written by Jiang-hsing Chu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Cache memory categories.

Selective Victim Caching

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Author : Dimitrios Stiliadis
language : en
Publisher:
Release Date : 1994

Selective Victim Caching written by Dimitrios Stiliadis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Cache memory categories.

Performance Evaluation Of Selective Victim Caching Scheme Over Lru For Set Associative Caches

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Author : Srinivas Reddy Mallu
language : en
Publisher:
Release Date : 2000

Performance Evaluation Of Selective Victim Caching Scheme Over Lru For Set Associative Caches written by Srinivas Reddy Mallu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Cache memory categories.

Cache Performance Analysis Of Algorithms

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Author : James D. Fix
language : en
Publisher:
Release Date : 2002

Cache Performance Analysis Of Algorithms written by James D. Fix and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Cache memory categories.

Resilient Cache Network Management

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Author : Tian Xie
language : en
Publisher:
Release Date : 2024

Resilient Cache Network Management written by Tian Xie and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.

As we all know, the computer networks rely on cache to improve its performance. For example, the DNS caches resource records, the CDN caches content, and the SDN caches flow rules. However, on one hand, we know that caches are vulnerable to attacks such as cache overflow and cache pollution attack. The Existing defenses to protect the cache can be mainly divided into two parts, which are attack traffic detection, or using system-specific countermeasures. More importantly, all these mechanisms are external. Therefore, it remains to find out: how well can a cache to protect itself from attack. On the other hand, in-network caching and flexible routing are two of the most celebrated advantages of next generation network infrastructures. Yet few solutions are available for jointly optimizing caching and routing that provide performance guarantees for an arbitrary topology. In this thesis, we are going to explore different perspectives of cache network management, trying to make it resilient to mansion attacks, security threads, or naturally occurring faults. In our first piece of work, we zoom into a single cache node, improving its resilience by designing/picking the suitable replacement policy. We study this problem by charac terizing the attack resilience of cache replacement policies under cache pollution attack, which is also a form of Denial of Service attack. To understand the cache performance under such attacks, we analyze a suite of representative replacement policies under the framework of TTL approximation in how well they preserve the hit ratios for legitimate users, while incorporating the delay for the cache to obtain a missing content. We further develop a scheme to adapt the cache replacement policy based on the perceived level of attack. Our analysis and validation on real traces show that although no single policy is resilient to all the attack strategies, suitably adapting the replacement policy can notably improve the attack resilience of the cache. Motivated by these results, we implement selected policies as well as policy adaptation in an open-source SDN switch to manage flow rule replacement, which is shown to notably improve its resilience to pollution attacks. As our second piece of work, we zoom out to the multi-hop cache network, for which the control plane is centralized. Suppose there is a centralized optimizer, as in a Software Defined Network (SDN) that oversees the storage of all the content, routing of all the requests(flows), our focus is how to jointly optimize caching and routing. We take a holistic approach towards this fundamental problem by analyzing its complexity in all the cases and developing polynomial-time algorithms with approximation guarantees in important special cases. We also reveal the fundamental challenge in achieving guaranteed approximation in the general case and propose an alternating optimization algorithmwith good performance and fast convergence. Our algorithms have demonstrated superior performance in both routing cost and congestion compared to the state-of-the-art solutions in evaluations based on real topology and request traces. Shifting focus to cache vulnerabilities (in SDN), our third piece of work tackle the exposed nature of internal switch flow table sizes. Though previous work exposed edge switch manipulation, existing methods falter when navigating deeper within the network. Our work bridges this gap by unveiling the first solution to infer internal switch flow table sizes. Leveraging crafted probing sequences and robust statistical analysis, our Multi-Switch Size Inference (MSSI) algorithm estimates sizes along probing paths. This information feeds the Multi-Switch Size Matching (MSSM) algorithm, which pinpoints specific switches based on size intersections from multiple paths. Importantly, our solution relies solely on readily available Round Trip Time (RTT) measurements, making it broadly applicable without specialized network access. Rigorous theoretical analysis establishes accuracy bounds and correctness guarantees for MSSI and MSSM. Extensive Mininet experiments further validate our approach, showcasing its superior accuracy compared to state-of-the-art techniques. Our future research journey tackles diverse network challenges, from enhancing cache resilience and securing SDN to optimizing data transmission in dynamic environments. This future thrust focuses on the latter, specifically within the realm of overlay networks. These versatile networks play a critical role in modern data transmission, but their dynamic nature requires adaptable routing strategies for optimal performance. To address this dynamic challenge, we delve into the world of multi-arm bandits algorithms. These algorithms offer a promising framework for online shortest path routing in overlay networks. By leveraging the principles of exploration and exploitation, our proposed approach continuously evaluates and learns from real-time data, adjusting routing decisions based on the most up-to-date network conditions. This adaptive approach promises to improve efficiency and performance in overlay networks, ensuring the swift and seamless delivery of data even in the face of constant change.