PPT-Scalable Distributed Reasoning

Using MapReduce Jacopo Urbani Spyros Kotoulas Eyal Oren and Frank van Harmelen Department of Computer Science Vrije Universiteit Amsterdam The Netherlands . Mahmoud Vaibhav Arora Faisal Nawab Divyakant Agrawal Amr El Abbadi University of California Santa Barbara CA USA hatem vaibhavarora nawab agrawalamr csucsbedu ABSTRACT The past decade has witnessed an increasing adoption of cloud database technology Why not primary copy, as in Harp? Work out our own design... How to divide data among the network disks. Why does the Frangipani / Petal split make sense? Performance vs Harp? Reliability vs Harp? - Charles Sanders Peirce. Using Models of Reasoning. A Return to Logos. Reasoning from Specific Instances. Progressing from a number of particular facts to a general conclusion. .. This is also known as inductive reasoning.. Distributed File Access Mahadev SatyanarayananCarnegie Mellon University F or the users of a distributed systemto collaborate effectively, the abil- ity the last decade, distributed file systemsbased 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.. Priya Bhat, Yonggang Liu, Jing Qin. Content. 1. . Ceph. Architecture. 2. . Ceph. Components. 3. . Performance Evaluation. 4. . Ceph. Demo. 5. Conclusion. Ceph Architecture. What is Ceph?. Ceph is a distributed file system that provides excellent performance, scalability and reliability.. PERVASIVE Scalable,Distributed,Real-Time Mapment. Today 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. built . on Virtual Private . Servers. . e-Science for . cheminformatics. and drug discovery. 4th IEEE International Conference on e-Science 2008. Kangseok. Kim, Marlon E. Pierce. Community Grids Laboratory, Indiana University. 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. 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. Multipole. . Methods. Qi Hu, Nail A. Gumerov, Ramani Duraiswami. Institute for Advanced Computer Studies . Department of Computer Science. University of Maryland, College Park, MD. Previous work. FMM . Large scale computing systems. Scalability . issues. Low level and high level communication abstractions in scalable systems. Network interface . Common techniques for high performance communication. Metdata. Management for Distributed File Systems. Thomas Kao. 1. Background. Scalable solutions provided for data storage, why not file systems?. 2. Motivation. O. ften . bottlenecked by the metadata management .