PPT-sPHENIX Software & Computing Review

Simulation overview and resource needs Jin Huang BNL June 18 2018 BNL June 18 2018 sPHENIX Software amp Computing Review 1 Overview for this talk June 18 2018 sPHENIX Software amp Computing Review. ACCI meeting April 2, 2014. Jon Eisenberg. Director, CSTB. v2. 1. 2. Credit: National Academy of Sciences . National Academies today. 3. c. harge to committee. A . study committee . will examine . anticipated priorities and associated tradeoffs . from the paper. Abovce the Clouds: A Berkeley View of Cloud Computing (Feb. 2009). Definitions (I). Cloud Computing refers to both the applications delivered as services over the Internet and the scalable hardware and systems software that provide those services. . Presented by : Ahmed Alalawi. Outline. Introduction. Cloud Computing Components.. Security Issues.. Information Security requirements (ISR). Policy Based and Layered Infrastructure Security :. Dynamic Infrastructure Security Model. Michael . Armbrust. Armando Fox. Rean. Griffith. Anthony D. Joseph. Randy H. Katz. Andrew . Konwinski. Gunho. Lee. David A. Patterson. Ariel . Rabkin. Ion . Stoica. Matei. . Zaharia. Electrical Engineering and Computer Sciences. from the paper. Abovce the Clouds: A Berkeley View of Cloud Computing (Feb. 2009). Definitions (I). Cloud Computing refers to both the applications delivered as services over the Internet and the scalable hardware and systems software that provide those services. . By: Roshan Kathir, Javakar Jeyanathan, Theodore Egube. What is Quantum Computing?. Computing using quantum mechanics. Very powerful technology to allow extremely fast computing . Uses . qubits . instead of bits. 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]. . 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 . Learning Outcomes. Learning Outcomes. LO2. - Evaluate the deployment models, service models and technological drivers of Cloud Computing and validate their use.. Cloud Deployment models:. Private Cloud. SCENARIO PRELIMINARY DISCUSSION . OUTER HADRONIC . CALORIMETER. BNL, D. Lynch, R.Ruggiero, A. Gordeev. 1. sPHENIX HADRON CALORIMETERS ASSEMBLY SCENARIO.. PRELIMINARY DISCUSSION. . OUTER . HADRONIC . (MBD). Mickey Chiu. MBD Group. BNL: MC, . M. . Lenz, R. . Pisani. RIKEN: Yuji . Goto. Columbia/Nevis: C.Y. Chi, B. . Sippach. Lehigh U: . Rosi. Reed. PHENIX BBC in . sPHENIX. Higher Magnetic Fields. Review. sPHENIX DOE-OPA CD-1. /3A. Review. Tracking Simulations. May 23-25, 2018. BNL. May 23-25, 2018. 1. Anthony Frawley, Florida State University. Functions of the Tracker. Momentum measurement. VarthagamSoft - India\'s best ERP software provider 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.