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报告题目
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报告人单位
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1
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计算机科学与技术学院
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2016年4月19日
(周二)10:00-11:00
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计算机学院30204
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New Innovations in Cloud Computing for Big Data Applications
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Rajkumar Buyya
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Professor
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The University of Melbourne, Australia
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徐芳芳
68893531
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欢迎广大师生前往!
校科协、计算机学院
2016年4月15日
报告人简历:
Dr. Rajkumar Buyya is a Fellow of IEEE, Professor of Computer Science and Software Engineering, Future Fellow of the Australian Research Council, and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud Computing. He has authored over 525 publications and five text books including "Mastering Cloud Computing" published by McGraw Hill, China Machine Press, and Elsevier/Morgan Kaufmann for Indian, Chinese and international markets respectively. He is one of the highly cited authors in computer science and software engineering worldwide (h-index=98, g-index=205, over 45900 citations). Microsoft Academic Search Index ranked Dr. Buyya as the world's top author in distributed and parallel computing between 2007 and 2015. "A Scientometric Analysis of Cloud Computing Literature" by German scientists ranked Dr. Buyya as the World's Top-Cited (#1) Author and the World's Most-Productive (#1) Author in Cloud Computing.
Software technologies for Grid and Cloud computing developed under Dr.Buyya's leadership have gained rapid acceptance and are in use at several academic institutions and commercial enterprises in 40 countries around the world. Dr. Buyya has led the establishment and development of key community activities, including serving as foundation Chair of the IEEE Technical Committee on Scalable Computing and five IEEE/ACM conferences. These contributions and international research leadership of Dr. Buyya are recognized through the award of "2009 IEEE TCSC Medal for Excellence in Scalable Computing" from the IEEE Computer Society TCSC. Manjrasoft's Aneka Cloud technology developed under his leadership has received "2010 Frost & Sullivan New Product Innovation Award". He served as the foundation ditor-in-Chief of IEEE Transactions on Cloud Computing. He is currently serving asCo-Editor-in-Chief of Journal of Software: Practice and Experience, which was established 40+ years ago. For further information on Dr.Buyya, please visit his cyberhome: www.buyya.com.
报告摘要:
Computing is being transformed to a model consisting of services that are commoditised and delivered in a manner similar to utilities such as
water, electricity, gas, and telephony. In such a model, users access services based on their requirements without regard to where the services are hosted. Several computing paradigms have promised to deliver this utility computing vision. Cloud computing has emerged as one of the buzzwords in the IT industry and turned the vision of "computing utilities" into a reality. Several IT vendors have started offering computation, storage, and application hosting services, and provide coverage in several continents, supporting Service-Level Agreements (SLA) backed performance and uptime promises for their services. Clouds deliver infrastructure, platform, and software (application) as services, which are made available as subscription-based services in a pay-as-you-go model to consumers. The price that Cloud Service Providers charge can vary with time and the quality of service (QoS) expectations of consumers. Therefore, Enterprise and Big Data applications need tools and platforms for their rapid construction and deployment on Clouds on-demand meeting user QoS requirements at lower price.This keynote presentation will cover (a) 21st century vision of computing and identifies various IT paradigms promising to deliver the vision of computing utilities; (b) opportunities and challenges for
utility and market-oriented Cloud computing, (c) innovative architecture for creating market-oriented and elastic Clouds by harnessing virtualisation technologies; (d) Aneka, a Cloud Application Platform, and Cloudbus Workflow Engine for rapid development of Cloud/Big Data applications and their deployment on rivate/public Clouds with resource provisioning driven by SLAs; (e) experimental results on deploying Cloud and Big Data applications in engineering, and health care, and
astronomy/ satellite image processing, business intelligence on elastic Clouds, and (f) directions for delivering our 21st century vision along with pathways for future research.