PPT-Building Scalable Elastic Applications using
Author : elysha | Published Date : 2023-10-04
Makeflow Dinesh Rajan and Douglas Thain University of Notre Dame Tutorial at CCGrid May 13 2013 Delft Netherlands Go to httpwwwndeduccl Click on Tutorial at CCGrid
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Building Scalable Elastic Applications using: Transcript
Makeflow Dinesh Rajan and Douglas Thain University of Notre Dame Tutorial at CCGrid May 13 2013 Delft Netherlands Go to httpwwwndeduccl Click on Tutorial at CCGrid 2013 Plan for Todays Tutorial. 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 Shai B. Elbaz and Amir D. Gat. Technion - Israel . Institute of . Technology . Faculty of Mechanical Engineering. 1. 12/01/2013. Background (1/2) – Soft Robotics. Emerging . field . of experimental soft robotics. . Presented by Paul. Problem. The cloud offers. Near infinite computing capabilities. Near infinite storage. On-demand access to new VMs. Pay-as-you-go model. But how do you build an application to automatically take advantage of those resources?. What couldn’t you live without?. Price Elasticity. Price. Quantity. You will pay anything to drink….Which is why Governments control water supplies…Price inelastic!. Price Elasticity. Price. Quantity. 1. A Framework for Effective. Multi-core Heterogeneous Computing. Introduction. 2. Clear trend towards multi-core heterogeneous systems. Problem: increased application-design complexity . Different resources require different algorithms to execute efficiently. 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 . Commutativity. Rule: Designing Scalable Software for Multicore Processors. Austin T. Clements, M. . Frans. . Kaashoek. , . Nickolai. . Zeldovich. , Robert T. Morris, and Eddie Kohler. MIT CSAIL and Harvard University. Bell Ringer. A . 40 kg . miniature horse runs west at . 8m/s. . What is the force . of impact if it hits a wall and . comes to a stop . in . 0.5s. ?. Objectives. We will . demonstrate . and apply the laws of . 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. Lana Josipović, Philip Brisk, Paolo Ienne. É. cole Polytechnique F. édérale. de Lausanne. University of California, Riverside. October 2017. High-level Synthesis and Static Scheduling. High-level synthesis . point load in isotropic half space. “The . Boussinesq. Problem”. Nicholas Lau. 9. th. November, 2018. A very brief introduction to . Elastic Materials. Strain (deformation) when stress is applied. 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. Dynamic Adaptive Streaming over HTTP in Mobile Environments. Christopher . Müller, . Daniele . Renzi. , . Stefan . Lederer. , . Stefano . Battista, Christian . Timmerer. 1. Introduction. DASH. Already exist industry player which are using HTTP streaming server..
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