• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology

Article

Indian Journal of Science and Technology

Year: 2015, Volume: 8, Issue: 12, Pages: 1-7

Original Article

Efficient Power Management and Data Intensive Computer Systems in Computer Networks

Abstract

Network Optimization techniques are generally used for e data transfer quickly and without loss. Network Optimization is also applied on the power consumption in whole network system. Thus the efficient network system concentrates on Power Utilization, Deadlock Lock avoidance and Error Recovery process. In the Dynamic Power Management System contains Power utilization and its management. In the network consist of various nodes that to be used. The Power consumption takes place high if all nodes are in active state. To manage the Power Consumption in the network, Link Node Heuristic Algorithm is applied as the optimization technique. The Algorithms work with the optimization module that nodes are not used for particular time period means switched to idle state; when the node becomes active to transfer the data then it is changed to awaken state. During data transmission, the router is set all node values either as on or off state. In the proposed module the efficient power consumption network is focused only on energy utilization. Consider for a good power consumption network is only focused in power means the network may get chances for error and deadlock occurrence. During the data transfer some packets is dropped means on that time Autonomous Network Reconfiguration System is used to recover the data. This ARS technique is mainly focused on the error recovery and to avoid the deadlock. Every node is maintained and monitored by the Router in this technique. If the data transmission is takes place for sender and receiver means router allocates the path, make the nodes available and rest of the nodes make in disabled state.

Keywords: ARS Technique, Deadlock Avoidance, ECONET Consortium, Error Recovery, Network Construction, Power Management 

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