A Computational Economy for Grid Computing and its Implementation in the Nimrod-G Resource Brok

By David Abramson, Rajkumar Buyya, Jonathan Giddy. Future generations computer systems, 2001

478 citations recorded by the source corpus.

Computational grids that couple geographically distributed resources such as PCs, workstations, clusters, and scientific instruments, have emerged as a next generation computing platform for solving large-scale problems in science, engineering, and commerce. However, application development, resource management, and scheduling in these environments continue to be a complex undertaking. In this article, we discuss our efforts in developing a resource management system for scheduling computations on resources distributed across the world with varying quality of service (QoS). Our service-oriented grid computing system called Nimrod-G manages all operations associated with remote execution including resource discovery, trading, scheduling based on economic principles and a user-defined QoS requirement. The Nimrod-G resource broker is implemented by leveraging existing technologies such as Globus, and provides new services that are essential for constructing industrial-strength grids. We present the results of experiments using the Nimrod-G resource broker for scheduling parametric computations on the World Wide Grid (WWG) resources that span five continents.

Subfields: Computer Networks and Communications, Hardware and Architecture, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/7b95c341af5a732c094f1143f12677fb4b2eb41a

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Citations in the corpus

An Ant Colony Optimization Approach to a Grid Workflow Scheduling Problem With Various QoS Requirements (2009, methodology): “The scheduling methods for Nimrod/G support user-defined deadline and budget and use the services of grid architecture for computational economy (GRACE) [22].”
Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers (2012, background): “Although the use of cost-aware multi-provider scheduling has been explored extensively for Grid environments [33], anomalies, e.”
Mapping Abstract Complex Workflows onto Grid Environments (2003, background): “To counter this, there are other systems [34-37], which try to provide Quality of Service guarantees required by the user while submitting the workflow to the Grid.”
Cloud Computing - The Business Perspective (2011, background): “Cloud computing economics: Existing research has looked at the economics of grid computing [1].”
A survey of autonomic computing—degrees, models, and applications (2008, background): “Nimrod/G [Abramson et al. 2002] is an example of an architecture for grid-based resource management.”
Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility (2009, background): “Market-oriented computing views computing resources in economic terms such that resource users will need to pay resource providers for utilizing the computing resources [6].”