Malicious Workers Tolerance in an Agent-Based Grid Resource Brokering System -- Preliminary Considerations

The Agent in Grid (AiG) project develops an agent-based infrastructure for resource management in the Grid. The basic assumptions of the project are that (1) agents work in teams, and (2) information is ontologically represented and semantically processed. Thus far, issues involved in trust management were considered only from the point of view of fulfillment of contracts between stakeholders. However, it is also possible that some workers that fulfill their contracts, return incorrect results. In this note, we consider how the trust management in the AiG project can be further conceptualized by using a reputation-based voting.

[1]  Maria Ganzha,et al.  Multiple equivalent simultaneous offers strategy in an agent-based grid resource brokering system - initial considerations , 2013, Scalable Comput. Pract. Exp..

[2]  Mohammed Essaaidi,et al.  Reputation-based Majority Voting for Malicious Grid Resources Tolerance , 2001, Scalable Comput. Pract. Exp..

[3]  Nicholas R. Jennings,et al.  Brain Meets Brawn: Why Grid and Agents Need Each Other , 2004, Towards the Learning Grid.

[4]  M. Ganzha,et al.  Efficient Matchmaking in an Agent-based Grid Resource Brokering System , 2006 .

[5]  Nicholas R. Jennings,et al.  TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources , 2006, Autonomous Agents and Multi-Agent Systems.

[6]  S. Wong.  An authentication protocol in Web-computing , 2006, Proceedings 20th IEEE International Parallel & Distributed Processing Symposium.

[7]  Richard P. Martin,et al.  Autonomous replication for high availability in unstructured P2P systems , 2003, 22nd International Symposium on Reliable Distributed Systems, 2003. Proceedings..

[8]  Maria Ganzha,et al.  Reengineering and Extending the Agents in Grid Ontology , 2013, LSSC.

[9]  Maria Ganzha,et al.  Mirroring information within an agent-team-based intelligent Grid middleware; an overview and directions for system development , 2009, Scalable Comput. Pract. Exp..

[10]  Maria Ganzha,et al.  Trust Management in an Agent‐Based Grid Resource Brokering System‐Preliminary Considerations , 2007 .

[11]  Sugata Sanyal,et al.  TSET: Token based Secure Electronic Transaction , 2012, ArXiv.

[12]  Cristina Nita-Rotaru,et al.  A survey of attack and defense techniques for reputation systems , 2009, CSUR.

[13]  Maria Ganzha,et al.  Ontologies, Agents and the Grid: An Overview , 2009 .

[14]  Marios D. Dikaiakos,et al.  Design and Development of a Core Grid Ontology ? , 2013 .

[15]  Diego Gambetta,et al.  People's Trust: The Design of a Survey-Based Experiment , 2006, SSRN Electronic Journal.

[16]  Maria Ganzha,et al.  Supervising Agent Team in an Agent-Based Grid Resource Brokering System -- Initial Solution , 2008, 2008 International Conference on Complex, Intelligent and Software Intensive Systems.

[17]  C. Chen,et al.  An approach for resource selection and allocation in grid based on trust management system , 2009, 2009 First International Conference on Future Information Networks.

[18]  M. Parkin,et al.  A Comparison of SLA Use in Six of the European Commissions FP6 Projects , 2008 .

[19]  Yu. A. Zuev.  On the Estimation of Efficiency of Voting Procedures , 1998 .

[20]  Luis F. G. Sarmenta,et al.  Sabotage-tolerance mechanisms for volunteer computing systems , 2001, Proceedings First IEEE/ACM International Symposium on Cluster Computing and the Grid.

[21]  Paul Resnick,et al.  Reputation systems , 2000, CACM.

[22]  Steven Tuecke,et al.  The Physiology of the Grid An Open Grid Services Architecture for Distributed Systems Integration , 2002 .

[23]  K. Wasielewska,et al.  Negotiations in an Agent-based Grid Resource Brokering System , 2011 .

[24]  P. S. Kumar,et al.  RECENT TRUST MODELS IN GRID , 2011 .

[25]  Marcin Paprzycki,et al.  Forming and managing agent teams acting as resource brokers in the Grid — preliminary considerations , 2008 .