e-journal

A Tabu Search Algorithm for the Location of Data Centers and Software Components in Green Cloud Computing Networks

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The ubiquity of cloud applications requires the meticulous design of cloud networks with high quality of service, low costs, and low CO2 emissions. This paper presents a planning problem and an extremely efficient tabu search heuristic for optimizing the locations of cloud data centers and software components while simultaneously finding the information routing and network link capacities. The objectives are to optimize the network performance, the CO2 emissions, the capital expenditures (CAPEX), and the operational expenditures (OPEX). The problem is modeled using a mixed-integer programming model and solved with both an optimization solver and a tabu search heuristic. A case study of a web search engine is presented to explain and optimize the different aspects, showing how planners can use the model to direct the optimization and find the best solutions. The efficiency of the tabu search algorithm is presented for networks with up to 500 access nodes and 1,000 potential data center locations distributed around the globe.
Index Terms—Application component placement, cloud computing, cloud federation, data center location, energy efficiency, environmental impact, green networking, network planning, tabu search, virtual network embedding

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Ketersediaan

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Informasi Detail

Judul Seri

IEEE TRANSACTIONS ON CLOUD COMPUTING

No. Panggil

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Penerbit

New York : IEEE., 2013

Deskripsi Fisik

IEEE TRANSACTIONS ON CLOUD COMPUTING, VOL. 1, NO. 1, JANUARY-JUNE 2013

Bahasa

English

ISBN/ISSN

2168-7161

Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

VOL. 1, NO. 1, JANUARY-JUNE 2013

Subjek

KOMPUTER

Info Detail Spesifik

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Pernyataan Tanggungjawab

Yuli/Agus

Versi lain/terkait

Lampiran Berkas

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