PPT-Data Center Scale Computing

Presentation by Ken Bakke Samantha Orogvany John Greene If computers of the kind I have advocated become the computers of the future then computing may someday be organized as a public utility just as the telephone system is a public utility The computer utility could become the basis of a new and important industry. Uni processor computing can be called centralized computing brPage 3br mainframe computer workstation network host network link terminal centralized computing distributed computing A distributed system is a collection of independent computers interc 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. . Raw Scale Raw Scale Raw Scale Raw Scale Score Score Score Score Score Score Score Score 86 100 64 80 42 66 20 42 85 98 63 79 41 66 19 41 84 97 62 79 40 65 18 39 83 95 61 78 39 64 17 38 82 94 60 77 38 Ruoming. Jin. Welcome!. Instructor: . Ruoming. Jin. Office: 264 MCS Building. Email: . jin. AT cs.kent.edu. Office hour: Tuesdays and Thursdays (4:30PM to 5:30PM) or by appointment. TA: Lin Liu. Email: . 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. . Students need more exposure to internalize the ideas and make expressing computations 2. nd. nature.. So ideally 2 courses. either an undergraduate course & graduate course. or 2 undergrad. courses. . 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]. . ITS Research Computing. Mark Reed. Overview – Research Computing. Resources. Services. Projects. ReCo Resources. Computational Resources. compute clusters: Longleaf, Killdevil, . Dogwood. Special purpose servers: . Working Group Break-Out Session Discussion. IMAG MSM Meeting 2017. Compiled by Portonovo S. Ayyaswamy and Ravi Radhakrishnan, University of Pennsylvania. High-Performance Computing (HPC) WG Goals. Initiate discussion, foster collaboration, share know-how on (but not limited) to:. Scale, Scale Factor, & Scale Drawings. Objective:. 7.2.01 & 7.3.03. Essential Question:. . How can I use a scale factor to understand distances on a map or the size of a house or object?. Vocabulary:. Pierre Riteau. Université de Rennes 1, IRISA. INRIA Rennes – Bretagne . Atlantique. Rennes, . France. Pierre.Riteau@irisa.fr. Introduction To. Sky. . Computing. IaaS. . clouds. On demand/elastic . For more information about the New York Advanced Headache Center, our doctors, or to schedule a consultation with Amr Hosny MD, please contact our headache, migraine specialists in New York City by number: 646-763-2222. 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.