PPT-Caching for Data Analysis

Caching for Data Analysis Ken Birman Theo Gkountouvas Data Analysis Data processing is growing very fast compared to the hardware acceleration Volume Complexity Spark RDDs Spark uses Resilient Distributed Datasets RDDs as a core structure. IN FOOD-STORING songbirds, caching behavior is in�uenced by many factors—for example, black-capped chickadees from northern latitudes cache more food than birds from The most reliabl Justin DeBrabant. Brown University . debrabant@cs.brown.edu. A bit of history…. 1974 – System R. query optimization . recovery . transaction serialization. lots of locks. Application. Primary Storage. How It Works and When You Should Use It . Shy Cohen. Principal, . Shy Cohen Consulting. AAP314. What Gurus Need to Know. What’s a cache and what it does. Core and advanced concepts. Caching on premises and in Windows Azure. INDIA . │ . 9-11 February 2011. Caching Enhancement in ASP.NET 4.0. Abhijit Jana . │ . Consultant, Microsoft. http://. abhijitjana.net. ASP.NET Caching Quick Tour. Data / Object . Caching. Output Caching. C-Burst. ): Let Hard Disks Sleep Well and Work Energetically. Feng. Chen and . Xiaodong. Zhang. Dept. of Computer Science and Engineering. The Ohio State University. Power Management . in . Hard Disk . 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. ): Let Hard Disks Sleep Well and Work Energetically. Feng. Chen and . Xiaodong. Zhang. Dept. of Computer Science and Engineering. The Ohio State University. Power Management . in . Hard Disk . Power management . 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. Amar Phanishayee. Fahad Dogar, Himabindu Pucha, Olatunji Ruwase, . Dave Andersen. Carnegie Mellon University. CMU Speaking Skills Talk. Wireless Networks. Wired . Link. Wireless . Router. Wireless. Link. www.chriswoodruff.com. www.twitter.com/cwoodruff. Chris Woodruff. Developer Advocate at JetBrains. www.linkedin.com/in/chriswoodruff. What do you and . I. do wrong?. Calling Data Access functionality (EF Core) from Controllers. 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 . . 01. BACKGROUND. PROBLEM & TERMINOLOGY & Motives & OBJECTIVES. Linux Virtual File System (VFS). Linux Virtual File System (VFS) – . cont. ’. The Linux Virtual File System (VFS) . (also known as the Virtual Filesystem Switch) is the software layer in the kernel that provides the filesystem interface to user space programs. . &. Caching. Noah Mendelsohn. Tufts University. Email: . noah@cs.tufts.edu. Web: http://www.cs.tufts.edu/~noah. COMP 150-IDS: Internet Scale Distributed Systems . (Spring 2015). 2. Goals. Explore some general principles of performance,...