PPT-RAMCloud: Scalable

HighPerformance Storage Entirely in DRAM John Ousterhout Stanford University with Nandu Jayakumar Diego Ongaro Mendel Rosenblum Stephen Rumble and Ryan Stutsman DRAM in Storage Systems. Clements M Frans Kaashoek Nickolai Zeldovich Robert T Morris and Eddie Kohler MIT CSAIL and Harvard University Abstract What fundamental opportunities for scalability are latent in interfaces such as system call APIs Can scalability opportunities b Scalable High-Performance Storage Entirely in DRAM. John . Ousterhout. , . Parag. . Agrawal. , David Erickson, Christos . Kozyrakis. , Jacob . Leverich. , David . Mazières. , . Subhasish. . Mitra. Ken . Birman. , Cornell University. August 18/19, 2010. 1. Berkeley Workshop on Scalability. Today’s cloud systems exhibit visible inconsistencies!. Today, very few cloud applications need consistency in a strong, interactive, real-time sense of the term.. MapReduce. Karim Ibrahim. Anh Pham. 1. Outline. Motivation & Introduction. Benchmarking . study. Optimizing . Hadoop. Motivation. 3. Motivation (. cont. ’). Motivation. :. MapReduce. model is not well suited for one pass analytics.. David . Kaser. Lecture Series. Lorcan Dempsey / . @. LorcanD. Indiana University, . 7 October 2012. How terrific to see you are the featured lecturer this year.   Just thought I'd mention that David . Processors. Presented by . Remzi. Can . Aksoy. *Some slides . are. . borrowed from a ‘Papers We Love’ . Presentation. EECS 582 – F16. 1. Outline. The . Scalable Commutativity Rule: . Whenever interface operations commute, they can be implemented in a way that scales. Jungwook Choi and Rob . A. . Rutenbar. Belief . Propagation . FPGA for . Computer Vision. Variety . of pixel-labeling apps in CV are mapped to probabilistic graphical model, effectively solved by . BP. RAMCloud. Motivation. The role of DRAM has been increasing. Facebook used 150TB of DRAM. For 200TB of disk storage. However, there are limitations. DRAM is typically used as cache. Need to worry about consistency and cache misses. FOR CHILDREN OF ABUSE, NEGLECT & ABANDONMENT”. CONFRONTING ABUSE – CHANGING LIVES. BUILDING A SCALABLE & SUSTAINABLE SUPPORT STRUCTURE. Scott Murrish. ScottMurrish.com. 308-440-4560. . BUILDING A SCALABLE & SUSTAINABLE SUPPORT STRUCTURE. Larry Peterson. In collaboration with . Arizona. , Akamai. ,. . Internet2. , NSF. , North Carolina, . Open Networking Lab, Princeton. (and several pilot sites). S3. DropBox. GenBank. iPlant. Data Management Challenge. A PROJECT UNDER THE GUIDANCE OF DR. K. R. RAO COURSE: EE5359 - MULTIMEDIA PROCESSING, SPRING 2015. Submitted . By. :. Aanal. Desai. UT ARLINGTON ID: 1001103728. EMAIL ID: aanal.desai@mavs.uta.edu. DEPARTMENT OF ELECTRICAL ENGINEERING UNIVERSITY OF TEXAS, ARLINGTON. Iterative Local Searches. Martin . Burtscher. 1. and Hassan Rabeti. 2. 1. Department of Computer Science, Texas State University-San Marcos. 2. Department of Mathematics, Texas State University-San Marcos. COS 418: Distributed Systems. Lecture . 14. Wyatt Lloyd. Consistency Hierarchy. Linearizability. Sequential Consistency. Causal+ Consistency. Eventual Consistency. e.g., RAFT. e.g., Bayou. e.g., Dynamo. Large scale computing systems. Scalability . issues. Low level and high level communication abstractions in scalable systems. Network interface . Common techniques for high performance communication.