Challenge: integrating mobile wireless devices into the computational grid
Proceedings of the 8th annual international conference on Mobile computing and networking
Performance Prediction Technology for Agent-Based Resource Management in Grid Environments
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
Use of Agent-Based Service Discovery for Resource Management in Metacomputing Environment
Euro-Par '01 Proceedings of the 7th International Euro-Par Conference Manchester on Parallel Processing
Performance Evaluation of an Agent-Based Resource Management Infrastructure for Grid Computing
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
A Slacker Coherence rotocol for Pull-based Monitoring of On-line Data Sources
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
The Globus Project: A Status Report
HCW '98 Proceedings of the Seventh Heterogeneous Computing Workshop
Adaptive Polling of Grid Resource Monitors Using a Slacker Coherence Model
HPDC '03 Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing
A collaborative problem-solving framework for mobile devices
ACM-SE 42 Proceedings of the 42nd annual Southeast regional conference
A New Architecture for OGSA-based Grid Information Service
SCC '04 Proceedings of the 2004 IEEE International Conference on Services Computing
Communication-efficient distributed monitoring of thresholded counts
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Toward sophisticated detection with distributed triggers
Proceedings of the 2006 SIGCOMM workshop on Mining network data
A new mechanism for resource monitoring in Grid computing
Future Generation Computer Systems
A taxonomy of grid monitoring systems
Future Generation Computer Systems
Device Resource Monitoring System in Wireless Grids
ACT '09 Proceedings of the 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies
WiGriMMA: A Wireless Grid Monitoring Model Using Agents
Journal of Grid Computing
An effective job replication technique based on reliability and performance in mobile grids
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
Monitoring service using markov chain model in mobile grid environment
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
Monitoring and status representation of devices in wireless grids
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
Applications of agent technology in communications: a review
Computer Communications
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The resource status of a device in a wireless grid is affected by several factors such as the number of applications in execution, amount of data communication, device mobility, battery power, signal strength, etc. The grid scheduler schedules user applications based on current resource status of a device stored in the grid information server GIS. Thus, it is very much essential to maintain the correct updated status information at GIS for proper scheduling. This paper proposes an efficient method for sharing of resource status with GIS using software agents to facilitate the execution of compute intensive tasks that depend more on processor than on memory or bandwidth. At each device, it employs a device agency with three agents called as Status Monitoring Agent, Status Representation Agent, and Status Communication Agent. These agents monitor the changes in resource status, store status information in compact manner, and share the changed status with GIS efficiently so that status accuracy is achieved as well as the bandwidth and memory consumption is reduced. The proposed work is simulated to evaluate the performance parameters such as memory and bandwidth requirements, memory reduction rate and redundancy. It is observed that the proposed work achieved resource status accuracy by sharing relevant status changes in timely manner and reduced bandwidth and memory requirements.