PPT-Grid and Cloud Computing

Author : marina-yarberry | Published Date : 2017-05-27

Pegasus Dr Guy Tel Zur Pegasus httppegasusisiedu Pegasus course material We will use the newest version 4 Introduction httppegasusisiedututorialcondor08CONDOR08PegasusWMSTutorialfinalpdf

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Grid and Cloud Computing: Transcript

Pegasus Dr Guy Tel Zur Pegasus httppegasusisiedu Pegasus course material We will use the newest version 4 Introduction httppegasusisiedututorialcondor08CONDOR08PegasusWMSTutorialfinalpdf. IU. Cray operational, . IU. IBM (iDataPlex) completed stability test May 6. UCSD. IBM operational, . UF. IBM stability test . completed June 12. Network. , . NID. and . PU. HTC system operational. GRID COMPUTING. Today's science is much based on computation, data analysis, and collaboration as on the efforts of individual experimentalists and theorists.. Grid computing. is the application of several computers to a single problem at the same time. . FAULT-TOLERANT. . DATA STORAGE MANAGEMENT. by. Prince Steve Kamanke. Supervisor : Antoine . Bagula. Mentor : Samson . Akintoye. 1. Brief Recap. Goals & Objectives. The Simulation Model : CloudSim. Cloud computing is a model for enabling . convenient. , . on-demand network access . to a . shared pool . of . configurable computing resources . (e.g., networks, servers, storage, applications, and services) [Mell_2009], [Berkely_2009]. . Geoffrey Fox. gcf@indiana.edu. . Informatics, Computing and Physics. Pervasive Technology Institute. Indiana University Bloomington. Science Cloud Summer School. VSCSE@Indiana. University. July 30 2012. Grid Computing . Definitions . The term . Grid computing. originated in the early 1990s as a metaphor for making computer power as easy to access as an electric power grid. . The definitive definition of a Grid is provided . Cloud Computing. Cloud Computing . Characteristics . On demand service . . Use it as you needed. 2. Network Access . . Uses internet as a medium. 3. Share resources . Resources are pooled together – Used by multiple clients. o. n behalf . of the . Trigger. /DAQ/Offline/. Computing . Preparatory Group. ALICE: Pierre . Vande. . Vyvre. , Thorsten . Kollegger. , Predrag Buncic; ATLAS: David Rousseau, Benedetto . Gorini. , Nikos . Maddi . Enekoitz. LB1E. . Cloud Computing . sare. batera . konektatua. . dagoen. . serbidore. baten programa eta . zerbitzu. . multzoa. da. Internet . daukan. . edozein. . ordenagailutik. . 1. Heru. . Suhartanto. Faculty of Computer Science, . Universitas. Indonesia. E-mail: . heru@cs.ui.ac.id. Presented at University of YARSI. – General Course – on 27-th April 2011. A revised version of presentation at ICACSIS2010, . Harold Castro, . Ph.D.. Associate professor. Systems and Computing Engineering. COMIT (Communications and IT) Research Group. IMAGINE Research Group. http://sistemas.uniandes.edu.co/~comit. http://imagine.uniandes.edu.co. . Fisica. . Nucleare. (INFN). Italy. Accelerated Computing support . in EGI-Engage. Marco.Verlato (at pd.infn.it). Task part of WP4 (JRA2): Platforms for the Data Commons. Expand the EGI federated Cloud platform with new . , collected data is streamed to a central server and data . is processed . on a powerful central server which is usually far away from the . data source.. Cloud Computing or simply “the . Cloud. ”,is. Prof. . Raffaele Montella, Ph.D.. http://raffaelemontella.it. raffaele.montella@uniparthenope.it. Outline - Computing in the Cloud. Introduction. Computing as a service. Virtualization and Containerization.

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