2 research outputs found
Eco Models in Heteregeneous Peer-topeer (P2P) Systems
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Øä½ć®ę¶č²»é»åćä½ęøć§ććåę£åć·ć¹ćć ć®ę°ććć¢ćć«ćē¹ć«ę¶č²»é»åć«ć¤ćć¦ćÆå®éć®ć³ć³ćć„ć¼ćæć®ę¶č²»é»åć®å®ęø¬ć«åŗć„ćć¦ćę¶č²»é»åć®ć¢ćć«ć®ę§ēÆćč”ć£ćććć®ć¢ćć«ć«åŗć„ćć¦ććć¢éć®åę£åć®åčŖæåä½ę¹å¼ćē ē©¶ććč©ä¾”ćč”ć£ććē ē©¶ęęć®ę¦č¦ (č±ę) : Information systems are composed of nodes like computers and sensors interconnected in networks. Here, we have to reduce the total electric energy consumed by nodes in addition to achieving traditional performance objectives. In this research, we proposed a power consumption model of a node to perform application processes. We first measure the total electric power of types of computers to perform application processes and then abstract essential parameters which dominate the power consumed by nodes. The power consumption model which we proposed is referred to as simple power consumption (SPC) model. Here, a computer consumes maximum poser [W] if at least one process is performed, otherwise consumes minimum power. Based on the SPC model, we proposed the energy-aware server selection (EA) algorithm and evaluated the EA model. In the evaluation, we showed not only the total power consumption of a server cluster but also the average execution time of each process are reduced
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