PPT-Caching and Virtual Memory

Main Points Cache concept Hardware vs software caches When caches work and when they dont Spatialtemporal locality vs Zipf workloads Cache Replacement Policies FIFO MIN LRU LFU Clock. 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. Utilizing AppFabric Caching Services On-. Premise. and Beyond to Optimize Performance. About Me. Overview. of . Caching. Server . AppFabric. . Caching. Architecture. Demo. : Server . AppFabric. . Definitions. Cache. Copy of data that is faster to access than the original. Hit: if cache has copy. Miss: if cache does not have copy. Cache block. Unit of cache storage (multiple memory locations). Li-Shiuan Peh. Computer Science & Artificial Intelligence Lab.. Massachusetts Institute of Technology. May 2, 2012. L22-. 1. http://csg.csail.mit.edu/6.S078. Virtual Memory Basics. physical. address. 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. Use main memory as a “cache” for secondary (disk) storage. Managed jointly by CPU hardware and the operating system (OS). Programs share main memory. Each gets a private virtual address space holding its frequently used code and data. 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. Apr 25, 2017. 1. Memory (Programmer. ’. s View) . 2. Hmmm, How Does This Work?! . Process 1. Process 2. Process n. Solution: Virtual Memory (today and next lecture). 3. Today . Virtual Memory: Concepts . Managed jointly by CPU hardware and the operating system (OS). Programs share main memory. Each gets a private virtual address space holding its frequently used code and data. Protected from other programs. Main Points. Cache concept. Hardware vs. software caches. When caches work and when they don’t. Spatial/temporal locality vs. . Zipf. workloads. Cache Replacement Policies. FIFO, MIN, LRU, LFU, Clock. 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. 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 15-213: Introduction to Computer Systems . 16. th. . Lecture, Oct. . 22. , 2013. Instructors:. . Randy Bryant, Dave . O’Hallaron. , and Greg . Kesden. Today . Address spaces. VM as a tool for caching. Instructor:. . Justin Hsia. Teaching Assistants:. Lucas Wotton. Michael Zhang. Parker . DeWilde. Ryan Wong. Sam . Gehman. Sam Wolfson. Savanna Yee. Vinny . Palaniappan. http://rebrn.com/re/bad-chrome-1162082.