TOPOMON: A Monitoring Tool for Grid Network Topology
ICCS '02 Proceedings of the International Conference on Computational Science-Part II
Giggle: a framework for constructing scalable replica location services
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
A Monitoring Sensor Management System for Grid Environments
HPDC '00 Proceedings of the 9th IEEE International Symposium on High Performance Distributed Computing
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Grid technology uses geographically distributed resources from multiple domains. For that reason, resource monitoring services or tools will run on various kinds of systems to find static resource information and dynamic resource information, such as architecture vendor, OS name and version, MIPS rate, memory size, CPU capacity, disk size, NIC information, CPU usage, network usage (bandwidth, latency), and memory usage, etcs. Thus monitoring itself may cause the system overhead. This paper proposes the optimal monitoring interval to reduce the cost of monitoring services and the dynamic monitoring interval to measure the monitoring events accurately. By simulating and implementing those two factors, we find out that unnecessary system overhead is significantly reduced and accuracy of events is satisfied.