Dynamic power management in energy-aware computer networks and data intensive computing systems

Niewiadomska-Szynkiewicz, Ewa; Sikora, Andrzej; Arabas, Piotr; Кamola, Mariusz; Mincer, Marcin; Kołodziej, Joanna

doi:10.1016/j.future.2013.10.002

Cited by 51 publications

(34 citation statements)

References 20 publications

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“…Moreover, frameworks for reducing power consumption in computer networks and network-wide optimization algorithms have been proposed. In [40] is proposed a twolevel control framework providing local control mechanisms that are implemented at the network device level and network-wide control strategies implemented at the central level.…”

Section: Related Workmentioning

confidence: 99%

Analysis of power consumption in heterogeneous virtual machine environments

et al. 2016

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Reduction of energy consumption in Cloud computing datacenters today is a hot a research topic, as these consume large amounts of energy. Furthermore, most of the energy is used ineciently because of the improper usage of computational resources such as CPU, storage, and network. A good balance between the computing resources and performed workload is mandatory. In the context of data-intensive applications, a signicant portion of energy is consumed just to keep alive virtual machines or to move data around without performing useful computation. Moreover, heterogeneity of resources increases the degree of diculty, when try to achieve energy eciency. Power consumption optimization requires identication of those inefciencies in the underlying system and applications. Based on the relation between server load and energy consumption, we study the eciency of data-intensive applications, and the penalties, in terms of power consumption, that are introduced by dierent degrees of

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Section: Related Workmentioning

confidence: 99%

Analysis of power consumption in heterogeneous virtual machine environments

et al. 2016

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“…Electrical optical and hybrid) (ii) network traffic management (iii) network aware resource allocation and energy efficiency. Niewiadomska et al [14] have described two level control framework for reducing the power consumption in computer networks, (i) local control mechanism for network device , (ii) network wide control framework technique for reducing power consumption. Galinina et al [15] have given the optimization of optimal power control scheme for reducing energy in 4G networks.…”

Section: Related Workmentioning

confidence: 99%

An Energy Computation in Distributed Computing Environment through Bellman-Ford Algorithm

Verma¹,

Saxena²

2016

IJCA

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In the current scenario, energy optimization for the electrical components used in the hand-held devices is a broad area of research. Energy principle for information technology contains its own specific energy behavior. The energy costs in server centre are now compatibility to the cost of hardware devices and other compare devices. In the processor device system, heat existing is a major cause of limiting changes in the performance evaluation. In laptop, scanners, computers, cell phones, printers, i-pods, and other digital devices, which are portable, reduced the power consumption converts into the battery long life manner. The energy consumption is now presenting challenges as a performance measure in computers, processing the task execution time. The energy is linked with the execution time capacity, where comparable patterns have been recognized by a combination of hardware devices, software devices, and algorithms. In this paper, the design of energy-efficient computer systems is proposed by the use of Bellman-ford algorithmic approach. A model is proposed for finding the performance of the system. Computed results are depicted in the form of tables and graphs.

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“…A study of energy-aware traffic engineering in a TCP/IP network was recently undertaken by Niewiadomska-Szynkiewicz et al (2014). The authors presented the proposition for a traffic engineering system, in which paths are chosen so as to satisfy given demands while the total energy dissipated by network equipment is minimized.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous routing and flow rate optimization in energy–aware computer networks

Jaskóła

Arabas²,

Karbowski³

2016

International Journal of Applied Mathematics and Computer Science

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The issue of energy-aware traffic engineering has become prominent in telecommunications industry in the last years. This paper presents a two-criteria network optimization problem, in which routing and bandwidth allocation are determined jointly, so as to minimize the amount of energy consumed by a telecommunication infrastructure and to satisfy given demands represented by a traffic matrix. A scalarization of the criteria is proposed and the choice of model parameters is discussed in detail. The model of power dissipation as a function of carried traffic in a typical software router is introduced. Then the problem is expressed in a form suitable for the mixed integer quadratic programming (MIQP) solver. The paper is concluded with a set of small, illustrative computational examples. Computed solutions are implemented in a testbed to validate the accuracy of energy consumption models and the correctness of the proposed traffic engineering algorithm.

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Dynamic power management in energy-aware computer networks and data intensive computing systems

Cited by 51 publications

References 20 publications

Analysis of power consumption in heterogeneous virtual machine environments

Analysis of power consumption in heterogeneous virtual machine environments

An Energy Computation in Distributed Computing Environment through Bellman-Ford Algorithm

Simultaneous routing and flow rate optimization in energy–aware computer networks

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