The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Towards Trust-Aware Resource Management in Grid Computing Systems
Abstract
Resource management is a central part of a Grid computing system. In a large-scale wide-area system such as the Grid, security is a prime concern. One approach is to be conservative and implement techniques such as sandboxing, encryption, and other access control mechanisms on all elements of the Grid. However, the overhead caused by such a design may negate the advantages of Grid computing. This study examines the integration of the notion of "trust" into resource management such that the allocation process is aware of the security implications. We present a formal definition of trust and discuss a model for incorporating trust into Grid systems. As an example application of the ideas proposed, a resource management algorithm that incorporates trust is presented. The performance of the algorithm is examined via simulations.
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Citations
Cites
A survey of trust in internet applications
Grandison, T., & Sloman, M. (2000) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2000.5340804 · Cited by 1,157
Cited by
Trust-based security for wireless ad hoc and sensor networks
Boukerch, A., Xu, L., & EL-Khatib, K. (2007) · Computer Communications · doi:10.1016/j.comcom.2007.04.022 · Cited by 290
Metadata
- Authors
- Azzedin, F., & Maheswaran, M.
- Venue
- 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID'02)
- Publisher
- IEEE
- Published
- 2003-06-25
- Pages
- 452-452
- OpenAlex
- W2104538152
- Cited by
- 160
- References
- 1
- FWCI
- 9.25
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Azzedin, F., & Maheswaran, M. (2003). Towards Trust-Aware Resource Management in Grid Computing Systems. 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID'02). https://doi.org/10.1109/ccgrid.2002.1017189
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
