Algorithms for Reducing the Total Power Consumption in Data Communication-Based Applications

Abstract

It is now critical to reduce the consumption of natural resources, especially petroleum. Even in information systems, we have to reduce the total electrical power consumption. We classify network applications to two types of applications, transaction and communication based ones. In this paper, we consider communication based applications like the file transfer protocol (FTP). A computer named server consumes the electric power to transfer a file to a client depending on the transmission rate. We discuss a model for power consumption of a data transfer application which depends on the total transmission rate and number of clients to which the server concurrently transmits files. A client has to find a server in a set of servers, each of which holds a file so that the power consumption of the server is reduced. We discuss a pair of algorithms PCB (power consumption-based) and TRB (transmission rate-based) to find a server which transmits a file to a client. In the evaluation, we show the total power consumption can be reduced by the algorithms compared with the traditional round-robin algorithm.

An Integrated Power Consumption Model for Communication and Transaction Based Applications

“…, n), minE t ≤ E t (τ ) ≤ maxE t . The electric power consumption rate P T t (tr) [10], [11] of a server s t at time τ when only transmission processes are being performed is given as follows:…”

“…Here, 0 < γ ≤ 1. In order to more efficiently use the total transmission rate maxtr t (τ ), the following algorithm [10], [11] to allocate each client c s with the transmission rate tr ts (τ ) is discussed: …”

“…On the other hand, a server transmits a large volume of data to a client like file transfer protocol (FTP) applications in the communicationbased applications. The simple and multi-level models [8], [9] for computation and power consumption of a server in computation-based applications and the power consumption model [10], [11] in communication-based applications are discussed by abstracting properties which dominate the power consumption of the server based on experimental results of real computers. The PCLB (power consumption laxity based) algorithm is proposed to select a server in a set of servers so as to not only satisfy deadline constraint but also reduce the total power consumption of servers in computation-based applications.…”

“…The PCLB (power consumption laxity based) algorithm is proposed to select a server in a set of servers so as to not only satisfy deadline constraint but also reduce the total power consumption of servers in computation-based applications. On the other hand, the PCB (power consumption-based) algorithm [10], [11] and EPCB (extended PCB) algorithm [12] are proposed to select a server in a set of possible servers so that the total power consumption can be reduced in communication-based applications.…”

Transmission Power Consumption Laxity-Based (TPCL) Algorithm for Communication Type Applications

“…In this paper, we would rather discuss softwareoriented aspects of information systems to reduce the electric power consumption in a cluster of servers to realize the high performance and scalable information systems [10], [11]. Applications are classified into computation [12], [13], communication [14], storage [15] and general [16] type applications.…”