PPT-Distributed Maintenance of Cache Freshness in Opportunistic

Wei Gao and Guohong Cao Dept of Computer Science and Engineering Pennsylvania State University Mudhakar Srivatsa and Arun Iyengar IBM T J Watson Research Center Outline Introduction Refreshing Patterns of Web Contents.  Stefan . Schackow. Program Manager. Microsoft Corporation. PC41. What's the current state?. Why is it changing?. How are we changing it?. .NET Framework Caching. A great in-memory object cache in ASP.NET. Univ. of Alberta, Canada. http: //. www.cs.ualberta.ca/~mn. With R. . Alencar. and A. . Brayner. . Work partially supported by NSERC and CBIE (Canada) and CAPES (Brazil). Data Caching in WSN. Outline. Binoy. . Dharia. , K. . Rohan. Gandhi, . Madhura. . Kolwadkar. Department of Computer Science. University of Southern California. Los Angeles, CA. Freshness Policy. Freshness policy also known as Revisit policy is the process of determining the order and time to re-crawl the web pages by any crawler.. Clickthroughs. for News Search. Hongning. Wang. +. , . Anlei. Dong. *. , . Lihong. Li. *. , Yi Chang. *. , . Evgeniy. . Gabrilovich. *. +. CS@UIUC . *. Yahoo! Labs. Relevance . v.s. . Freshness. Reza . Sherafat. . Kazemzadeh. . AND. . Hans-Arno Jacobsen. Middleware Systems Research Group. University of Toronto. . Agenda. The content-based publish/subscribe model. Characteristics and challenges. Abstract. This paper proposes distributed cache invalidation mechanism (DCIM), a client-based cache consistency scheme that is implemented on top of a previously proposed architecture for caching data items in mobile ad hoc networks (MANETs), namely COACS, where special nodes cache the queries and the addresses of the nodes that store the responses to these queries. . Steve Peschka. Sr. Principal Architect. Microsoft . Corporation. There is a new distributed cache service in SharePoint 2013 based on Windows Server . AppFabric. Distributed Caching. It is used in features like authentication token caching and My Site social feeds. District Heating and Cooling. Robert . McMillin. Siemens Industry, Inc.. August 12, 2015. Introduction. Master Planning. New Construction. Best time to choose a direction. 2. Likely higher first cost, but lower future cost. Clickthroughs. for News Search. Hongning. Wang. . , . Anlei. Dong. *. , . Lihong. Li. *. , Yi Chang. *. , . Evgeniy. . Gabrilovich. *. . CS@UIUC . *. Yahoo! Labs. Relevance . v.s. . Freshness. Internet . has many user. Issues with access latency (lag). Server crashing. How to solve?. One solution, Web Cache. Web Cache. What is web cache?. Cache “. a place of . storage”. Web cache – “a . Caching at the Web Scale Victor Zakhary, Divyakant Agrawal, Amr El Abbadi Full slide deck: https://goo.gl/1VYGW3 1 The old problem of Caching Disk RAM L 2 L 1 Larger Slower Cheaper Smaller Faster Caching 50.5* COS 518: Advanced Computer Systems Lecture 9 Michael Freedman * Half of 101 Tradeoff Fast: Costly, small, close Slow: Cheap, large, far Based on two assumptions Temporal location: Will be accessed again soon Side channel attacks and defenses. Presented by:. Kazi. . Mejbaul. Islam. Introduction and Background. Microarchitecture. Cache hierarchy. Side channels in microarchitecture. Threats in parallel and distributed systems. Maintenance. 3IT. Distributed System maintenance. The benefit of a distributed system such as client/server is the adaptability and scalability of these architectures to meet rapidly changing business information technology needs .