PPT-Austere Flash Caching with Deduplication and Compression

Qiuping Wang Jinhong Li Wen Xia Erik Kruus Biplob Debnath Patrick P C Lee The Chinese University of Hong Kong CUHK Harbin Institute of Technology Shenzhen. Complete Protection for your Information Driven Enterprise. Richard Hobkirk. Sr. Pre-Sales Consultant. Symantec’s Prescription For Better Data Protection. 2. Deduplicate Everywhere To Rationalize Infrastructure. in Kentico CMS. Boris . Pocatko. Solution Architect. Kentico Software. borisp@kentico.com. Agenda. Problem. Describing different caching mechanisms. Demo for cache dependencies. API caching and additional info. Ilija Vukotic. ADC TIM - Chicago. October 28, 2014. Caching – why and where?. Straight Tier3 . Most of the disk space is devoted to input data. The input data is almost always from downloaded from the grid. Forbiddingly stern; severely simple and unornamented. The austere woman believed that children should be seen and not heard.. 2. The austere room had only a single couch and table.. Augment. Increase; make something greater by adding to it.. James Kovacs. JamesKovacs.com. jkovacs@post.harvard.edu. Performance. Application A. 40 Requests per second. Application B. 20 Requests per second. Scalability. Is 20 Requests per Second Enough?. 20 requests per second. Victor Zakhary, . Divyakant. Agrawal, Amr El . Abbadi. 1. The old problem of Caching. Disk. RAM. L. 2. L. 1. Larger. Slower. Cheaper. Smaller. Faster. Expensive. 2. The old problem of Caching. Smaller. : A Reverse . Deduplication. Storage System Optimized for Reads to Latest Backups. Chun-Ho Ng, . Patrick P. C. Lee. The Chinese University of Hong Kong. APSYS’13. 1. Virtual Machine Backup. 2. VM . Linpeng . Tang (Princeton). Qi Huang (Cornell & Facebook). Wyatt Lloyd (USC & Facebook). Sanjeev Kumar (Facebook). Kai Li (Princeton). 1. 2. 2. * Facebook 2014 Q4 Report. Photo Serving Stack. and When You Should Use It . Jon Flanders. Senior Consultant. MCW Technologies. MID302. Agenda. Why Caching?. What is AppFabric Cache?. On-Premise and in Azure. Demo, demo, demo. Typical Web Architecture. CS-3013 . Operating Systems. Hugh C. Lauer. (Slides include materials from. Slides include materials from . Modern Operating Systems. , . 3. rd. ed. ., by Andrew . Tanenbaum. and from . Operating System Concepts. ACCELERATE YOUR IT TRANSFORMATION Entry-Level Storage and Backup Systems Optimized for VMware, Microsoft Applications, and Storage Consolidation Three Phase Journey To The Private Cloud Phase 3 Run IT As A Business 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 Ron Jacobs. Sr. Technical Evangelist, Microsoft. http://blogs.msdn.com/rjacobs. Agenda. . Simple. Do the simplest thing that will possibly work. . Scalability. Able . to support the required quality of service as the system load . is a . lossy compression. method used to . compress images. using . fractals. . The method is best suited for photographs of natural scenes (. trees. , . mountains. , . ferns. , . clouds. ). The fractal compression technique relies on the fact that in certain images, parts of the image resemble other parts of the same image..