Economic-based Distributed Resource Management and Scheduling for Grid Computing

By Rajkumar Buyya. arXiv.org, 2002

623 citations recorded by the source corpus.

Computational Grids, emerging as an infrastructure for next generation computing, enable the sharing, selection, and aggregation of geographically distributed resources for solving large-scale problems in science, engineering, and commerce. As the resources in the Grid are heterogeneous and geographically distributed with varying availability and a variety of usage and cost policies for diverse users at different times and, priorities as well as goals that vary with time. The management of resources and application scheduling in such a large and distributed environment is a complex task. This thesis proposes a distributed computational economy as an effective metaphor for the management of resources and application scheduling. It proposes an architectural framework that supports resource trading and quality of services based scheduling. It enables the regulation of supply and demand for resources and provides an incentive for resource owners for participating in the Grid and motives the users to trade-off between the deadline, budget, and the required level of quality of service. The thesis demonstrates the capability of economic-based systems for peer-to-peer distributed computing by developing users' quality-of-service requirements driven scheduling strategies and algorithms. It demonstrates their effectiveness by performing scheduling experiments on the World-Wide Grid for solving parameter sweep applications.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/62ba761570b3ce2801898717830911b20d3b29f6

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In Computer Networks and Communications

Citations in the corpus

Grids and Grid technologies for wide‐area distributed computing (2002, background): “• Computational Economy and Resource Trading – As a Grid is constructed by coupling resources distributed across various organizations and administrative domains that may be owned by different organizations, it is essential to support mechanisms and policies that help in regulate resource supply and”
A Tale of Clouds: Paradigm Comparisons and Some Thoughts on Research Issues (2008, background): “Similarly, the distributed computing community has pointed out that many distributed computing techniques for cloud computing have been mature [7][10][11].”
The Grid Economy (2005, methodology): “Numerous economic models including microeconomic and macroeconomic principles for resource management have been proposed in the literature [3], [26], [40], [43], [51], [56], [61].”