The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Seven good reasons for mobile agents
Communications of the ACM
Future Generation Computer Systems - Special issue on metacomputing
A Monitoring Sensor Management System for Grid Environments
Cluster Computing
On-Demand Grid Application Tuning and Debugging with the NetLogger Activation Service
GRID '03 Proceedings of the 4th International Workshop on Grid Computing
The grid core technologies
Real-time network monitoring scheme based on SNMP for dynamic information
Journal of Network and Computer Applications - Special issue: Network and information security: A computational intelligence approach
Architecture of a Network Monitoring Element
WETICE '06 Proceedings of the 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
Studying the Influence of Network-Aware Grid Scheduling on the Performance Received by Users
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
CARE Resource Broker: A framework for scheduling and supporting virtual resource management
Future Generation Computer Systems
A taxonomy of grid monitoring systems
Future Generation Computer Systems
Network-aware heuristics for inter-domain meta-scheduling in Grids
Journal of Computer and System Sciences
Building reusable mobile agents for network management
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Network monitoring for GRID performance optimization
Computer Communications
Autonomic cloud resource sharing for intercloud federations
Future Generation Computer Systems
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To achieve high performance distributed data access and computing in Grid environment, monitoring of resource and network performance is vital. Our proposed Grid network monitoring architecture is modeled by the Grid scheduler. The proposed Grid network monitoring retrieves network metrics using sensors as network monitoring tools. The mobile agents are migrated to start the sensors to measure the network metrics in all Grid Resources from the Resource Broker. The raw data provided by the monitoring tools is used to produce a high level view of the Grid through the set of internal cost functions. The network cost function is formed by combining various network metrics such as bandwidth, Round Trip Time, jitter and packet loss to measure the network performance. This paper presents the Grid Resource Brokering strategy which analyzes the network metrics along with the resource metrics for the selection of the Grid resource to submit the job and the proposed approach is integrated with CARE Resource Broker (CRB) for job submission. The experimental results are evident for the minimization of job completion time for the submitted job. The simulation results also prove that the more number of jobs are completed with the proposed strategy which influences the better utilization of the Grid resources.