PPT-RDMA in Data Centers: From Cloud Computing to Machine Learning

Chuanxiong Guo February 21 2018 Toutiao Bytedance Background RDMA over commodity Ethernet RoCEv2 RoCEv2 safety and performance challenges Deployment experiences and lessons Whats next. 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. . and . Cloud Computing. 1. 2. Data Centers. 3. What is a Data Center?. 4. “A facility used to house computer systems and associated components.” (Wikipedia). “It is the brain of a company and the place where the most critical processes are run.” (SAP). 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. . 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]. . Supercomputers are tightly integrated computer systems, dedicated to running a specialized task. Quantum mechanics. Weather forecasting / climate research. Oil / gas exploration. Physical simulations etc.. 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. Mike . Pangburn. Relevance to companies?. Cloud . Computing will be of particular relevance to the following types of firms:. Cash-lean firms. Firms not already heavily invested in previously installed systems/software. 1. 2. WHAT is the Offline and Computing Project doing. We are in charge of the CMS Data from the moment it goes out of DAQ @ . Cessy. site and enters CERN/IT. We are in charge of. Data . custodiality. Mitsunobu Narita. Sarah Jane Awopejo . Dorothy Scott. Meeka San Diego. Ian Joel Rex Perera . Sirawich Siriruang. Kyla Nicole Villanueva. Athitiya Hatthiya. Cloud computing. means storing and accessing data and programs over the Internet instead of your computer's hard drive. The . Used slides from RAD Lab at UC Berkeley about the cloud ( . http://abovetheclouds.cs.berkeley.edu/. ) and slides from Jimmy Lin. ’. s slides (http://www.umiacs.umd.edu/~jimmylin/cloud-2010-Spring/index.html) (licensed under Creation Commons Attribution 3.0 License). , 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. Learning Objectives. What is Cloud Computing?. Cloud Characteristics. Cloud Benefits. What is pay-as-you-go?. Economies of Scale. As-a-service models: IaaS, PaaS, SaaS. Cloud deployment models: private, public, and hybrid clouds. Computer Science. Purdue University. Research in Cloud Computing. YounSun Cho. cho52@cs.purdue.edu. Computer Science. Purdue University. Anya Kim. anya.kim@nrl.navy.mil. Naval Research Lab. Talk Objectives. 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.