Resource Management

Resource Management

ISBN13: 9781615207039|ISBN10: 1615207031|EISBN13: 9781615207046
DOI: 10.4018/978-1-61520-703-9.ch004
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MLA

Valentin Cristea, et al. "Resource Management." Large-Scale Distributed Computing and Applications: Models and Trends, IGI Global, 2010, pp.75-90. https://doi.org/10.4018/978-1-61520-703-9.ch004

APA

V. Cristea, C. Dobre, C. Stratan, F. Pop , & A. Costan (2010). Resource Management. IGI Global. https://doi.org/10.4018/978-1-61520-703-9.ch004

Chicago

Valentin Cristea, et al. "Resource Management." In Large-Scale Distributed Computing and Applications: Models and Trends. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-61520-703-9.ch004

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Abstract

The resource management is an important component in LSDS implemented for a variety of architectures and services. This chapter considers the management of distributed resources, virtual resources and provides the requirements for resource management in large scale distributed system. A resource management system is defined as a service that is provided by a distributed network component system that manages a pool of named resources that is available such that a system- centric or job-centric performance metric is optimized. Due to issues such as extensibility, adaptability, site autonomy, QoS, and co-allocation, resource management systems is more challenging in large scale distributed computing environments. The taxonomy of resource management systems (RMS) for very large-scale network computing systems presents the variety of requirements for this tool. The taxonomy could be used to identify architectural approaches and issues that have not been fully explored in the research. The resource management system could support different users constrains, so the multiple policies is provided. In general, requiring the RMS to support multiple policies can compel the scheduling mechanisms to solve a multi-criteria optimization problem. An important subject presented in this chapter is Agents Frameworks for resource management that offer a mechanism for distributes resources management. The chapter ends with presentation of WSRF (Web Services Resource Framework) that is the new solution for resources management based on SOA (OGSA – Open Grid Service Architecture). Resource management in Grid implies a quite large number of functionalities, from resource discovery to scheduling, execution management, status monitoring and accounting. In this section, we shall focus on scheduling systems, and we shall present the monitoring functionalities and the Grid information systems in a further section. We shall introduce here some general issues, and then we shall present taxonomy of the scheduling systems and some details regarding the scheduling mechanisms used in the most important current Grid projects.

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