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Supervised By: Undertaken By:

Supervised By: Undertaken By: Priyanka Gupta Sachin Gupta. Design Multilevel Caching Proxy Server. ABSTRACT.

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Supervised By: Undertaken By:

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  1. Supervised By: Undertaken By: Priyanka Gupta Sachin Gupta Design Multilevel Caching Proxy Server COMPUTER ENGINEERING

  2. ABSTRACT Caching is a technique to place data on upper level storage devices to reduce data access latencies. Caching has been extensively applied to diverse areas in computing systems including hardware architecture and database systems Several observations suggest that a cache-based approach can help improve performance for lower cost. COMPUTER ENGINEERING.

  3. GOALS • Implementation of Multi Level Caching Proxy Server. • Performance evaluation in terms of Latency time • Comparative analysis between client server architecture and multi level caching proxy server architecture COMPUTER ENGINEERING.

  4. MOTIVATION • Time required to fetch the pages from server takes lot of time if the no of request increases • Large work when sub divided into several entities takes less time • Distribute the load to the proxy server and cache the pages on the proxy so as to reduce the response time if that page is requested again COMPUTER ENGINEERING.

  5. WEB CACHING • Web caching is managing copies of web objects closer to clients to enable clients to see lower latency when accessing to objects. • Web caching can be done using varying degrees of cache level; from zero to many levels. COMPUTER ENGINEERING.

  6. TYPES OF WEB CACHING • BROWSER CACHING • PROXY CACHING COMPUTER ENGINEERING.

  7. BROWSER CACHING • A web browser cache stores local copies of web objects which have been accessed recently based on a specific cache management policy • Browser cache dose not represent any shared accesses between clients. • Two types: • Persistent Client Cache: keeps web objects between invocations of the web browser. • Non-Persistent Client Cache: removes cached copies when the user quits the browser. COMPUTER ENGINEERING.

  8. PROXY CACHING • A proxy is a special HTTP server that can run on a firewall machine • Proxying allow accesses through a firewall without forcing each client to include customized special firewall environment. • The proxy cache is located on a machine on the path from multiple clients to multiple servers • The same proxy can be used by all clients within a given subnet • This makes it efficient for a proxy to do caching of web objects requested by a number of clients COMPUTER ENGINEERING.

  9. TYPES OF PROXY CACHING COMPUTER ENGINEERING.

  10. Cont.. COMPUTER ENGINEERING.

  11. PARAMETER OF PERFORMANCE EVALUATION OF CACHING • Bandwidth utilization • Latency time COMPUTER ENGINEERING

  12. TECHNOLOGY USED • JAVA Net Beans 6.9 • My SQL COMPUTER ENGINEERING.

  13. LATENCY RATE OF WEB PAGES Latency Time ENGINEERING.

  14. LATENCY RATE OF WEB PAGES Latency Time COMPUTER ENGINEERING.

  15. RESULTS • The downloading speed data using Client server architecture without any proxy is 7.901288 KB/Sec • The downloading of data using Client server using one level of Proxy is 12.27333 KB/Sec • The downloading of data using Client server using two level of Proxy is 27.47761 KB/Sec • The latency time for web page using Client server without any proxy is 0.126562 sec/KB • The latency time for web pages using Client server architecture using one level of Proxy is 0.081477 sec/KB • The latency time for web pages using Client server architecture using two level of Proxy is 0.036393 sec/KB COMPUTER ENGINEERING.

  16. CONCLUSION AND FUTURE WORK • Latency time can be reduced by using caching • Latency time improved by using two level of caching • Latency time can be reduced using more level of caching proxy server COMPUTER ENGINEERING.

  17. REFERENCES:- • Luzi M. Abrams, C. R. Standridge, G. Abdulla, S. Williams, and E. A. Fox. Caching proxies: Limitations and potentials. In Proc. of the 4th Int’l. World-Wide Web Conf., pages 119–133, Dec. 1995. • V. Almeida, A. Bestavros, M. Crovella, and A. de Oliveira. Characterizing reference locality in the WWW. In Proc. of the IEEE Conf. on Parallel and Distributed Systems (PDIS’96), Dec. 1996. • L. Breslau, P. Cao, L. Fan, G. Phillips, and S. Shenker. Web caching and Zipf-like distribu- tions: Evidence and implications. In Proc. of IEEE Infocom’99, Mar. 1999. COMPUTER ENGINEERING.

  18. Cont.. • P. Cao and S. Irani. Cost-aware WWW proxy caching algorithms. In Proc. of the 1997 USENIX Symp. on Internet Technology and Systems (USITS’97), pages 193–206, Dec. 1997. • S. Chandra, C. S. Ellis, and A. Vahdat. Differentiated multimedia web services using qual- ity aware transcoding. In INFOCOM - Nineteenth Annual Joint Conference Of The IEEE Computer And Communications Societies, Tel Aviv, Israel, 2000. • C. Cunha, A. Bestavros, and M. E. Crovella. Characteristics of WWW client-based traces. Technical Report TR-95-010, Computer Science Dept., Boston University, Boston, MA, 1995. COMPUTER ENGINEERING. DEPTT, A.M.U ALIGARH

  19. Cont.. • T. Leighton D. Karger, D. Lewin, and A. Sherman. Web caching and consistent hashing. In Proc. of the 8th Intl. World Wide Web Conference, May 1999. • R. Doyle, J. Chase, S. Gadde, and A. Vahdat. The trickle-down effect: Web caching and server request distribution. In Proc. 6th Intl. Workshop on Web Caching and Content Distri- bution, June 2001. • B. M. Duska, D. Marwood, and M. J. Feeley. The measured access characteristics of World- Wide-Web client proxy caches. In Proc. of the 1997 USENIX Symp. on Internet Technology and Systems (USITS97), Dec. 1997. • S. G. Dykes, C. L. Jeffery, and S. Das. Taxonomy and design analysis for distributed web caching. In Proc. of the IEEE Hawaii Int’l. Conf. on System Sciences (HICSS’99), Maui, HI, Jan. 1999. COMPUTER ENGINEERING.

  20. Cont.. • S. G. Dykes, C. L. Jeffery, and K. A. Robbins. An empirical evaluation of client-side server selection algorithms. In Proc. of IEEE Infocom 2000, pages 1361–1370, Mar. 2000. • S. G. Dykes and K. A. Robbins. A viability analysis of multi-level proxy caching. In Proc. of IEEE Infocom 2001, pages 1205–1214, Apr. 2001. • S. G. Dykes, K. A. Robbins, and C. L. Jeffery. Uncacheable documents and cold starts in Web proxy cache simulations: How two wrongs appear right. Technical Report CS-2001-01, University of Texas at San Antonio, Division of Computer Science, San Antonio, TX 78249, Jan. 2001. COMPUTER ENGINEERING.

  21. Cont.. • L. Fan, P. Cao, J. Almeida, and A. Z. Broder. Summary cache: A scalable wide-area Web cache sharing protocol. In ACM SIGCOMM ’98, pages 254–265, Vancover, Canada, 1998. • S. Gadde, J. Chase, and M. Rabinovich. Web caching and content distribution: A view from the interior. In Proc. 5th Intl. Web Caching and Content Delivery Workshop, May 2000. • S. Glassman. A caching relay for the World Wide Web. In Proc. of the First Int’l. World Wide Web Conf., pages 69–76, May 1994. COMPUTER ENGINEERING.

  22. Cont.. • S. D. Gribble and E. A. Brewer. System design issues for Internet middleware services: Deductions from a large client trace. In Proc. of the First USENIX Symp. on Internet Tech- nologies and Systems, pages 207–218, Dec. 1997. • K. Johnson, J. Carr, M. Day, and M. Kaashoek. The measured performance of content dis- tribution networks. In Proc. 5th Intl. Web Caching and Content Delivery Workshop, May 2000. • M. Korupolu and M. Dahlin. Coordinated placement and replacement for large-scale dis- tributed caches. In Proc. IEEE Workshop on Internet Applications, pages 62–71, July 1999. COMPUTER ENGINEERING.

  23. Queries… If you have any queries or suggestion related to this topic, then you are always heartily welcomed… COMPUTER ENGINEERING.

  24. Thank You COMPUTER ENGINEERING.

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