Open Access
Peer-Reviewed
Original Research
Malicious Workers Tolerance in an Agent-based Grid Resource Brokering System
Abstract
The Agent in Grid (AiG ) project aims to develop an agent-based infrastructure that facilitates the resource management in the Grid. The core assumptions behind the system are: software agents representing Grid resources work in teams, and all information is ontologically represented and semantically processed. Thus far, trust management in AiG system is approached from the perspective of breaching an agreement between Users and teams or contracts between teams and Workers. Unfortunately, it is also possible that some Workers, which fulļ¬lled the agreement, could have maliciously returned incorrect results from the jobs that they executed. In this paper, we discuss how the trust management in the AiG project can be improved by using a reputation-based voting technique, in order to assure reliable job execution.
Keywords
Grid computing
agent system
trust management
malicious workers tolerance
majority voting
reputation. 1
Declarations & Ethics
Funding:
This research received academic dissemination support through ESCAP / JournalsHub publishing programs.
Conflicts of Interest:
The authors declare no competing financial or institutional interests.
Peer Review:
Double-blind peer reviewed by international subject specialists.
License:
Creative Commons Attribution 4.0 International (CC BY 4.0).
How to Cite This Article
APA / MLA / BibTeX
Attaoui, et al. (2014). Malicious Workers Tolerance in an Agent-based Grid Resource Brokering System. IADIS International Journal on Computer Science and Information Systems, 9(1). https://doi.org/10.33965/ijcsis_2014_v9i1_06
Attaoui, et al. "Malicious Workers Tolerance in an Agent-based Grid Resource Brokering System." IADIS International Journal on Computer Science and Information Systems, vol. 9, no. 1, 2014. https://doi.org/10.33965/ijcsis_2014_v9i1_06
Attaoui, et al. "Malicious Workers Tolerance in an Agent-based Grid Resource Brokering System." IADIS International Journal on Computer Science and Information Systems 9, no. 1 (2014). https://doi.org/10.33965/ijcsis_2014_v9i1_06