A Distributed Cloud Resource Management Framework for High-Performance Computing (HPC) Applications

被引:0
作者
Govindarajan, Kannan [1 ]
Kumar, Vivekanandan Suresh [1 ]
Somasundaram, Thamarai Selvi [2 ]
机构
[1] Athabasca Univ, Edmonton, AB, Canada
[2] Anna Univ, Chennai, Tamil Nadu, India
来源
2016 EIGHTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING (ICOAC) | 2017年
关键词
Cloud Computing; High-Performance Computing; Distributed Resource Management; Semantic Description and Discovery; Distributed Hash Table (DHT);
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The High-Performance Computing (HPC) users require the high-end compute, storage, and, network execution environment in a dynamic manner for testing HPC applications. The High-Performance Computing Cloud (HPCC) provides a kind of execution environment in an on-demand manner. Generally, the cloud resource management system or cloud resource broker manages the compute, storage, and network resources in HPCC. However, it faces the challenges of scalability, interoperability, and achieving guaranteed Quality of Service (QoS). Hence, the proposed research work addresses the above-said issues by employing the distributed cloud resource management framework. The proposed system can be able to handle a large number of user application requests and manage the multiple cloud resources in an interoperable manner. The proposed system is evaluated by submitting a large number of real-world HPC applications. The performance metrics such as response time, a number of successfully handled requests, and user satisfaction are measured to evaluate the performance of proposed system.
引用
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页码:1 / 6
页数:6
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