Abstract
Current information service systems are characterized by continuous changes of services from business companies promoting their special offers on-line, and unpredictable users' demand. In such system, service providers (SPs) require timely update to inform about their new products, and at the same time, users require a timely access to the information services. This fosters an urgent need for the design of a high-assurance information service system, that is, a system can meet both providers' and users' heterogeneous requirements. Faded Information Field (FIF), sustained by push/pull mobile agents, is such an architecture that brings high-assurance through a recursive demand-oriented provision of the most popular information closer to the users to make a tradeoff between the cost of service allocation and service access. However, when users' demand changes, there is a need for dynamically restructuring the information service system to restore the balance between users and SPs. This paper proposes an autonomous information allocation technique in the FIF environment. In this technique, nodes and push mobile agents locally coordinate to estimate the workload congestion of upper nodes and determine the new allocated information volume matching the current users' needs. The effectiveness in reducing the average response time of the users has been proved through simulation.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2nd International Workshop on Autonomous Decentralized System, IWADS 2002 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 35-41 |
| Number of pages | 7 |
| ISBN (Print) | 0780376242, 9780780376243 |
| DOIs | |
| Publication status | Published - 2002 |
| Externally published | Yes |
| Event | 2nd International Workshop on Autonomous Decentralized System, IWADS 2002 - Beijing, China Duration: 2002 Nov 6 → 2002 Nov 7 |
Other
| Other | 2nd International Workshop on Autonomous Decentralized System, IWADS 2002 |
|---|---|
| Country | China |
| City | Beijing |
| Period | 02/11/6 → 02/11/7 |
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ASJC Scopus subject areas
- Computer Networks and Communications
- Hardware and Architecture
- Software
Cite this
Autonomous information allocation through mobile agents to achieve load balancing in distributed information service system. / Zhou, Yi; Farooq Ahmad, H.; Arfaoui, H.; Mori, K.
Proceedings - 2nd International Workshop on Autonomous Decentralized System, IWADS 2002. Institute of Electrical and Electronics Engineers Inc., 2002. p. 35-41 1194646.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Autonomous information allocation through mobile agents to achieve load balancing in distributed information service system
AU - Zhou, Yi
AU - Farooq Ahmad, H.
AU - Arfaoui, H.
AU - Mori, K.
PY - 2002
Y1 - 2002
N2 - Current information service systems are characterized by continuous changes of services from business companies promoting their special offers on-line, and unpredictable users' demand. In such system, service providers (SPs) require timely update to inform about their new products, and at the same time, users require a timely access to the information services. This fosters an urgent need for the design of a high-assurance information service system, that is, a system can meet both providers' and users' heterogeneous requirements. Faded Information Field (FIF), sustained by push/pull mobile agents, is such an architecture that brings high-assurance through a recursive demand-oriented provision of the most popular information closer to the users to make a tradeoff between the cost of service allocation and service access. However, when users' demand changes, there is a need for dynamically restructuring the information service system to restore the balance between users and SPs. This paper proposes an autonomous information allocation technique in the FIF environment. In this technique, nodes and push mobile agents locally coordinate to estimate the workload congestion of upper nodes and determine the new allocated information volume matching the current users' needs. The effectiveness in reducing the average response time of the users has been proved through simulation.
AB - Current information service systems are characterized by continuous changes of services from business companies promoting their special offers on-line, and unpredictable users' demand. In such system, service providers (SPs) require timely update to inform about their new products, and at the same time, users require a timely access to the information services. This fosters an urgent need for the design of a high-assurance information service system, that is, a system can meet both providers' and users' heterogeneous requirements. Faded Information Field (FIF), sustained by push/pull mobile agents, is such an architecture that brings high-assurance through a recursive demand-oriented provision of the most popular information closer to the users to make a tradeoff between the cost of service allocation and service access. However, when users' demand changes, there is a need for dynamically restructuring the information service system to restore the balance between users and SPs. This paper proposes an autonomous information allocation technique in the FIF environment. In this technique, nodes and push mobile agents locally coordinate to estimate the workload congestion of upper nodes and determine the new allocated information volume matching the current users' needs. The effectiveness in reducing the average response time of the users has been proved through simulation.
UR - http://www.scopus.com/inward/record.url?scp=84962866791&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962866791&partnerID=8YFLogxK
U2 - 10.1109/IWADS.2002.1194646
DO - 10.1109/IWADS.2002.1194646
M3 - Conference contribution
AN - SCOPUS:84962866791
SN - 0780376242
SN - 9780780376243
SP - 35
EP - 41
BT - Proceedings - 2nd International Workshop on Autonomous Decentralized System, IWADS 2002
PB - Institute of Electrical and Electronics Engineers Inc.
ER -