An Efficient and Privacy-Aware Meeting Scheduling Scheme Using Common Computational Space

Md. Nurul HUDA
Shigeki YAMADA

IEICE TRANSACTIONS on Information and Systems   Vol.E90-D    No.3    pp.656-667
Publication Date: 2007/03/01
Online ISSN: 1745-1361
DOI: 10.1093/ietisy/e90-d.3.656
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Distributed Cooperation and Agents
algorithm,  constraint,  distributed computing,  mobile agent,  privacy,  

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Privacy is increasingly viewed as a key concern in multi-agent based algorithms for Distributed Constraint Satisfaction Problems (DCSP) such as the Meeting Scheduling (MS) problem. Many algorithms aim for a global objective function and as a result, incur performance penalties in computational complexity and personal privacy. This paper describes a mobile agent-based scheduling scheme called Efficient and Privacy-aware Meeting Scheduling (EPMS), which results in a tradeoff among complexity, privacy, and global utility. It also introduces a privacy loss model for collaborative computation, multiple criteria for evaluating privacy in the MS problem, and a privacy measurement metric called the Min privacy metric. We have utilized a common computational space in EPMS for reducing the complexity and the privacy loss in the MS problem. The analytical results show that EPMS has a polynomial time computational complexity. In addition, simulation results show that the obtained global utility for scheduling multiple meetings with EPMS is close to the optimal level and the resulting privacy loss is less than for those in existing algorithms.