Computation and Data Intensive Parallel and Distributed Systems: Resource Management and Data Handling Techniques

计算和数据密集型并行和分布式系统：资源管理和数据处理技术

• 批准号: RGPIN-2018-06297
• 负责人: Majumdar, Shikharesh
• 金额: $ 1.68万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=658538
• 关键词: Computation; Data; Intensive; Parallel; Distributed

The availability of computing and communication systems at a reasonable cost is increasing the use of parallel and distributed systems. Distributed systems in general and internet-based systems such as the cloud in particular are becoming part of the daily life in a modern society. There are two new important challenges facing the researchers of parallel and distributed systems. They concern the effective handling of (i) large volumes of data often referred to as Big Data and (ii) the high proliferation of sensor-based devices that utilize the newly emerging internet of things (IoT) technology. The proposed research is motivated by the need for finding effective answers to these challenges.*** The large resource pools in clouds are often utilized in systems that concern Big Data and IoT. Resource management and data handing techniques are critically needed, however, for harnessing this underlying resource pool of a cloud. My proposed research is directed at filling the gap in the current state of the art concerning techniques for resource management and data handling for this relatively new domain of high performance and data intensive systems. Research is proposed for resource management and data handling techniques for (i) cloud based data analytics platforms that are crucial for extracting knowledge from BigData and (ii) smart systems (e.g. sensor-based bridges, buildings, aerospace machinery and smart health care systems) that are essential components of the newly emerging smart society. The research results will cerate new knowledge, advance the state of the art and contribute to the achievement of the desired quality of service for system users, adequate revenues for service providers, safe and economically maintained infrastructures and machinery as well as efficient health care systems for the public. Training of students is an important and an integral part of the plan; the research results and trained HQP will aid in establishing Canada as a leader in the global market.*** I have been researching distributed systems and resource management for the past 29 years. My work includes pioneering research on parallel job scheduling on multiprogrammed parallel systems and novel techniques for managing a large heterogeneous set of resources and handling error-prone user estimates of request run times on clouds. My contributions are recognized through best paper/presentation awards and selection as a Distinguished Visitor for the IEEE Computer Society. My activities in the past 6 years are reflected in 15 journal and 1 magazine contributions, 4 book chapters, 36 refereed conference papers, 3 posters, 5 keynote addresses and 12 invited lectures, service in various program and steering committees for reputed conferences, chairing of an international conference and the organization of several international workshops. Relevance of my research for the public is captured in my media interviews (see CCV).

计算和通信系统的可用性以合理的成本增加了并行和分布式系统的使用。分布式系统，特别是基于互联网的系统，如云，正在成为现代社会日常生活的一部分。并行和分布式系统的研究人员面临着两个新的重要挑战。它们涉及有效处理(i)通常被称为大数据的大量数据和（ii）利用新兴物联网（IoT）技术的基于传感器的设备的高度扩散。提出研究的动机是需要找到应对这些挑战的有效答案。***云中的大型资源池通常用于涉及大数据和物联网的系统。然而，为了利用云的底层资源池，资源管理和数据处理技术是非常必要的。我提出的研究旨在填补当前有关资源管理和数据处理技术的空白，以满足高性能和数据密集型系统这一相对较新的领域。建议研究以下方面的资源管理和数据处理技术：(i)基于云的数据分析平台，这对于从大数据中提取知识至关重要；（ii）智能系统（例如基于传感器的桥梁、建筑物、航空航天机械和智能医疗系统），这是新兴智能社会的重要组成部分。研究成果将创造新知识，推动技术发展，并有助于实现为系统用户提供所需的服务质量，为服务提供者提供充足的收入，为公众提供安全和经济维护的基础设施和机械以及有效的卫生保健系统。培养学生是该计划的重要组成部分；研究成果和训练有素的卫生保健人员将有助于使加拿大成为全球市场的领导者。在过去的29年中，我一直在研究分布式系统和资源管理。我的工作包括对多程序并行系统上的并行作业调度的开创性研究，以及管理大型异构资源集和处理云上容易出错的用户请求运行时间估计的新技术。我的贡献得到了最佳论文/演讲奖的认可，并被选为IEEE计算机协会的杰出访问者。在过去的6年里，我的活动反映在15个期刊和1个杂志上，4本书章节，36篇会议论文，3篇海报，5个主题演讲和12个特邀演讲，在各种知名会议的项目和指导委员会服务，主持一个国际会议和组织几个国际研讨会。我的研究与公众的相关性体现在我的媒体采访中（见CCV）。