A case for economy grid architecture for service oriented grid computing
By Rajkumar Buyya, David Abramson, Jonathan Giddy. Proceedings, International Parallel and Distributed Processing Symposium (IPDPS), 2001
390 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Hardware and Architecture, Information Systems and Management
View Paper: https://www.semanticscholar.org/paper/82ee4fce8511e8c67cf08cc2f4a8077c3fadf0f9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Rajkumar Buyya
- Jia Yu
- David Abramson
- Srikumar Venugopal
- Jonathan Giddy
- Mark A. Baker
- Domenico Laforenza
- Heinz Stockinger
In Hardware and Architecture
- Rajkumar Buyya
- Jia Yu
- David Abramson
- Jonathan Giddy
- Heinz Stockinger
- Srikumar Venugopal
- Mark A. Baker
- Domenico Laforenza
In Information Systems and Management
- Rajkumar Buyya
- Jia Yu
- David Abramson
- Jonathan Giddy
- Heinz Stockinger
- Srikumar Venugopal
- Mark A. Baker
- Domenico Laforenza
Citations in the corpus
- A Taxonomy of Workflow Management Systems for Grid Computing (2005, methodology): “ns based on QoS constraints. The on-line learning approach predicts task execution performance from on-line experience without prior knowledge of the environment’s dynamics. For example, Buyya et al. [22] and Galstyan et al. [56] maps a job onto a ‘best’ Grid resource by learning the completion time”
- Economic models for resource management and scheduling in Grid computing (2002, methodology): “Computational Grids and Peer-to-Peer (P2P) computing systems are emerging as a new paradigm for solving large-scale problems in science, engineering, and commerce [1][5].”
- The Grid Economy (2005, background): “They include low-level services such as security, information, directory, and resource management [resource trading, resource allocation, and quality-of-services (QoSs)] and high-level services/tools for application development, resource management, and scheduling (resource discovery, access cost ne”
- Sun Grid Engine: towards creating a compute power grid (2001, neutral): “Sun Grid Engine: Towards Creating a Compute Power Grid Wolfgang Gentzsch Sun Microsystems lnc, Palo Alto, California, USA wolfgang.gentzsch@eng.sun.com”
- Economic-based Distributed Resource Management and Scheduling for Grid Computing (2002, methodology): “In the GRACE framework, we have proposed the concept of Grid Market Directory, Grid Bank (GB), and automated payment mechanisms.”
- Grids and Grid technologies for wide‐area distributed computing (2002, background): “To build a Grid requires the development and deployment of a number of low-level services, including those for: resource discovery, scheduling configuration management, security, and payment mechanisms in an open environment [1, 2, 6]; and high-level services for application composition, execution m”
- A Computational Economy for Grid Computing and its Implementation in the Nimrod-G Resource Brok (2001, methodology): “They enable the coordinated use of geographically distributed resources, often owned by autonomous organizations, for creating virtual enterprises for solving large-scale problems in science, engineering, and commerce [1][7].”