A reputation-based model for mobile agent migration for information search and retrieval |
| |
| Institution: | 1. University of North Dakota, Grand Forks, ND, USA;2. Metropolitan State University, Saint Paul, MN, USA;1. Department of Electrical Engineering, Malayer University, Malayer 65719-95863, Iran;2. Electrical and Computer Engineering Department, American University in Dubai, Dubai, United Arab Emirates;3. Department of Computing, University of Surrey, Surrey GU2 7XH, UK;1. School of Business, Jiangnan University, China;2. Research Institute of Smart Senior Care, School of Information, Renmin University of China, China;3. School of Information Resources Management, Renmin University of China, China;1. University of North Carolina at Chapel Hill, 200 Manning Hall, Chapel Hill, NC 27599-3360, USA;2. Syracuse University, Hinds Hall 348, Syracuse, NY 13244-4100, USA;3. Kateryna Bondar International University of La Rioja Avenida de la Paz, 137, 26006, Logroño, Spain;4. Formerly of the Center for Technology and Innovation Management, CeTIM@ UniBw München, Werner-Heisenberg-Weg 39, 85577 Neubiberg, Germany;1. Information Sciences and Technology Division, The Pennsylvania State University, New Kensington, PA 15068, USA;2. School of Civil and Building Engineering, Loughborough University, LE11 3TU, UK;3. College of Design, Construction & Planning, University of Florida, Gainesville, FL 32611, USA;1. Yeungnam University, Gyeongsan, South Korea;2. University of North Texas, Denton, TX, USA |
| |
| Abstract: | Mobile agent technology has been used in various applications including e-commerce, information processing, distributed network management, and database access. Information search and retrieval can be conducted by mobile agents in a decentralized system. As compared with the client/server model, the mobile agent approach has an advantage of saving network bandwidth and offering flexibility in information search and retrieval. In this paper, we present a model for mobile agents to select the most reputable information host to search and retrieve information. We use opinion-based belief structure to represent, aggregate and calculate the reputation of an information host. Since reputation is a multi-faced concept, our approach first allows the users to rank each information host's quality of service based on a set of evaluation categories. Then, a comprehensive, final reputation of the host is obtained by aggregating those specific category reputations. To recognize the subjective nature of a reputation, the transferable belief model is used to represent and rank the category reputation. Experiments are conducted using the Aglets technology to illustrate mobile agent migration. |
| |
| Keywords: | Information retrieval Mobile agent Reputation Belief Experiment |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
