Power Consumption-Based Server Selection Algorithms for Communication-Based Systems

2010 ◽  
Author(s):  
Tomoya Enokido ◽  
Ailixier Aikebaier ◽  
Makoto Takizawa ◽  
S. Misbah Deen
Keyword(s):  
Power Consumption ◽  
Server Selection ◽  
Selection Algorithms

Multi-level power consumption model and energy-aware server selection algorithm

2017 ◽  
Vol 8 (3) ◽  
pp. 201 ◽  
Author(s):  
Hiroki Kataoka ◽  
Shigenari Nakamura ◽  
Dilawaer Duolikun ◽  
Tomoya Enokido ◽  
Makoto Takizawa
Keyword(s):  
Power Consumption ◽  
Selection Algorithm ◽  
Energy Aware ◽  
Server Selection ◽  
Multi Level ◽  
Consumption Model

Efficient Management of Fragmented Replica in Data Grids

2012 ◽  
Vol 4 (2) ◽  
pp. 63-70 ◽  
Author(s):  
Chao-Chin Wu ◽  
Lien-Fu Lai ◽  
Jia-Xian Lai
Keyword(s):  
Optimal Solution ◽  
Selection Algorithm ◽  
Data Grids ◽  
Server Selection ◽  
Efficient Management ◽  
Replica Selection ◽  
Retrieval Efficiency ◽  
Simulation Results ◽  
Replication Technique ◽  
Selection Algorithms

Rather than replicating a file completely, Chang et al. proposed a fragmented replication technique to cope with the problem that only partial content of the replica are required in a local application. Furthermore, they also proposed two server selection algorithms for replica retrieval. However, their algorithms do not always find an optimal solution. To address the problem, in this paper, the authors propose a replica selection algorithm to improve the fragmented replica retrieval efficiency in this paper. It is a heuristic considering not only the transmission time but also the number of available servers for each block. Simulation results show that the proposed algorithm can improve the retrieval efficiency up to 12%.

Energy-Efficient Server Selection Algorithms for Distributed Applications

2012 ◽  
pp. 74-110
Author(s):  
Tomoya Enokido ◽  
Ailixier Aikebaier ◽  
Makoto Takizawa
Keyword(s):  
Information Systems ◽  
Power Consumption ◽  
Electrical Power ◽  
Computation Time ◽  
Distributed Applications ◽  
Total Power ◽  
Application Process ◽  
Energy Aware ◽  
Electrical Power Consumption ◽  
Selection Algorithms

A wide range of distributed applications are developed on various types of scalable information systems like Peer-to-Peer (P2P) and cloud computing systems. Various types of distributed algorithms are so far developed to minimize the computation time and response time and to maximize the throughput. On the other hand, it is getting more significant to realize energy-aware information systems for reducing the consumption of natural resources. In order to realize the energy-aware information systems, it is critical to reduce the total electrical power consumption of computers and networks. In this chapter, the authors classify applications on distributed systems into computation, communication, and general types of applications. Then, they define power consumption models of a server to perform each type of application process. Based on the power consumption models, the authors propose algorithms to select one of the servers for each type of application so that the total power consumption of servers can be reduced and also evaluate the algorithms in terms of not only performance but also energy consumption.

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