'Cache replacement' diaporamas de présentation

Web Caching

11. Web Caching. Web Protocols and Practice. WEB CACHING. Topics. Web Protocols and Practice. WEB CACHING. Cache Definition. Web Protocols and Practice. WEB CACHING. Goals of Web Caching. Web Protocols and Practice. WEB CACHING. Goals of Web Caching. Web Protocols and Practice.

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???????????????????????. Exploiting In-Zone Broadcasts for Cache Sharing in Mobile Ad Hoc Networks. IEEE TRANSACTIONS ON MOBILE COMPUTING, 2009. ??? : ??? ??? ????????? ?????????. Outline. Introduction Caching Sharing Techniques in MANETs

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SAIU: An Efficient Cache Replacement Policy for Wireless On-demand Broadcasts

SAIU: An Efficient Cache Replacement Policy for Wireless On-demand Broadcasts. Jianliang Xu, Qinglong Hu, Dik Lun Department of Computer Science in HK University Lee, Wang-Chien Lee GTE Laboratories

444 views • 31 slides

A Semantic Caching Method Based on Linear Constraints

A Semantic Caching Method Based on Linear Constraints. Yoshiharu Ishikawa and Hiroyuki Kitagawa University of Tsukuba {ishikawa,kitagawa}@is.tsukuba.ac.jp. Outline. Background Data caching Semantic caching Our Approach Algorithms Future work and conclusion. Data Caching (1).

416 views • 30 slides

Resource Sharing Across Users in Server Clusters

Resource Sharing Across Users in Server Clusters. Optimizing and Scaling Enterprise Applications. Krithi Ramamritham IIT Bombay krithi@iitb.ac.in. Enterprise (Information) Systems. Any kind of computing system that is of "enterprise class" offering high quality of service

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High Performance Cache Replacement Using Re-Reference Interval Prediction(RRIP)

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Poisson Processes and Maximum Likelihood Estimator for Cache Replacement

Poisson Processes and Maximum Likelihood Estimator for Cache Replacement. A Preliminary Attempt ECEn 670 Semester Project Wei Dang Jacob Frogget. Outline. Motivation Cache r eplacement algorithms Poisson processes in webserver-based cache

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Proxy Cache Algorithms: Design, Implementation, and Performance

Proxy Cache Algorithms: Design, Implementation, and Performance. Junho Shim, Peter Scheuermann, and Radek Vingralek, Member, IEEE IEEE transaction on knowledge and data engineering, VOL. 11, NO. 4, JULY/AUGUST 1999. ????????? ??? 1999/11/10. Outline. ? Introduction

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Peer-to-Peer Internet Telephony using SIP

Peer-to-Peer Internet Telephony using SIP. Kundan Singh and Henning Schulzrinne Columbia University, New York Sep 10, 2004. Introduction Client-server vs P2P for VoIP Related work: Skype P2P-SIP architecture Design alternatives DHT (Chord) and SIP

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Using the Compiler to Improve Cache Replacement Decisions

Using the Compiler to Improve Cache Replacement Decisions. Zhenlin Wang, UMass Amherst Kathryn S. McKinley, UT Austin Arnold L. Rosenberg, UMass Amherst Charles C. Weems, UMass Amherst. Motivation and Background. LRU is not always effective

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Cache Replacement in Modern Processors

Cache Replacement in Modern Processors. Prepared By: Paul Kosinski and Bridget Johnston. Introduction.

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World Wide Web Caching

World Wide Web Caching. CS457 Seminar Yutao Zhong 11/13/2001. Problems. Network congestion Server overloading User-perceived latency. client. Web server. Web cache. Effective solution: Web caching. Storing popular objects at locations close to the clients. Different deployments

252 views • 15 slides

Using Semantic Caching to Manage Location Dependent Data in Mobile Computing

Using Semantic Caching to Manage Location Dependent Data in Mobile Computing. 2003.3.18 CS 744 Database Lab. Se-Kyoung Huh. Contents. Background Semantic Cache Modeling LDD Query LDD Semantic Cache Index LDD Query Processing LDD Cache Management Experiment Conclusion. Background.

251 views • 14 slides

V Storage Manager

V Storage Manager. Shahram Ghandeharizadeh Computer Science Department University of Southern California. Traces. Make sure your persistent BDB is configured with 256 MB of memory.

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Presented by Jekkin Shah

Using Semantic Caching to Manage Location Dependent Data in Mobile Computing Qun Ren, Margaret H. Dunham. Presented by Jekkin Shah. Objective. Application of semantic caching to location dependent applications Eg. Mobile user, navigation system. Contributions.

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IRAM Testing / Verification

IRAM Testing / Verification. Sam Williams UC Berkeley samw@cs.berkeley.edu. Testing Intro. Testing will be performed on each level of the design from ISA simulator through a VERILOG netlist, and also on actual parts. Level of testing will vary depending on capabilities.

258 views • 9 slides

Cache Replacement Scheme based on Back Propagation Neural Networks

Cache Replacement Scheme based on Back Propagation Neural Networks. -Rakesh Ramananda. Aim of the Project. To build a cache replacement Algorithm for a set associative memory using BPNN. Compare the test results with existing algorithms. Basic info. What is Cache?

221 views • 7 slides