PPT-DCIM: Distributed Cache

Author : conchita-marotz | Published Date : 2016-05-16

Invalidation Method Authors Kassem Fawaz and Hassan Artail Alex Buchholz CS 6204 April 25 th 2013 Presentation Overview Paper overview Main conceptsdefinitions

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DCIM: Distributed Cache: Transcript


Invalidation Method Authors Kassem Fawaz and Hassan Artail Alex Buchholz CS 6204 April 25 th 2013 Presentation Overview Paper overview Main conceptsdefinitions Related Works.  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. . Why Aren’t You Using DCIM?: Exploration of the Pros and Cons of DCIM. . Presenter: Paul Goodison, CEO. Cormant, Inc.. Session TRD 4. . Why Aren’t You Using DCIM?: Exploration of the Pros and Cons of DCIM. Utilizing AppFabric Caching Services On-. Premise. and Beyond to Optimize Performance. About Me. Overview. of . Caching. Server . AppFabric. . Caching. Architecture. Demo. : Server . AppFabric. . 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. . Achieving operational excellence at every step of the data center life cycle, from design through sustained operations.. James Bartone. Global Technical Committee Member. Schneider Electric. Marina Thiry. Panelists:. DataLink. : . Irwin Teodoro. , National Practice Director. Parallel Technologies: . Tim Kittila. , PE, Business Unit Director. Server Farm: . David Eastman. , VP of . In Command . Services. 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. 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 . StruxureWare Data Center Operation. StruxureWare Data Center Expert. Data center management challenges. Balance the demands of availability and efficiency through out the data center lifecycle. In an environment of constant change. 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. Lecture 20. April . 9. th. , . 2012. Distributed Shared Memory. Prof John D. Kubiatowicz. http://www.cs.berkeley.edu/~kubitron/cs252. LD. 1. A .  5. LD. 2. B  7. LD. 5. B .  2. ST. 1. A,6. Distributed Auto-Tuning. Samuel . Williams, Leonid . Oliker. Jonathan Carter, John . Shalf. 1. Lawrence Berkeley National Laboratory. . SWWilliams@lbl.gov. Introduction. Management of . data locality and data movement .

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