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Dr Bikasih Thapa & Dr Maheswar Prasad (Nepal) - Hideo Wada MD PhD (japan) - Dr a Lavra Castrocatesana (Mexico) - Dr Mrs N.M. Hettiarachechui (Srilanka) - Dr Jorge Aldrete Velasco (Mexico) - Prof Hans Peter Kohler (Switzerland) - Dr Hermanus Suhartono S Sp.OG(K) PhD - Dr Isabel Pinheiro (Portugal) - Dr Suranga (Srilanka) - Jovia Dino Jansen Amsterdam,Holand - Hideo Wada MD PhD University Graduate School of Medicine Departement of Moleculer and Laboratory Medicine Japan - DR Bikash Thapa Internal Medicine Nepal University - DR Maheswar Prasad Internal Medicine Nepal University - Dr a Lavra Castro Castresana Colegio de Medicina interna de Mexico - Dr Suransa Manilgama University of Srilanka Internal Departement Medicine - Dr Mrs N.M. Hettiarachechui University of Medicine Srilanka - Dr Jorge Aldrete Velaso .Colegio de Medicina Interna de Mexico - Prof Hans Peter Kholer M.D FACD Profesor of Medicine University ot Switzerland - Dr Ramezan Ali Atace . Baqiyatallah University of Medical Sciences Departement of Micrology Tehran Iran - Ezekiel Wong Toh Yoon Dr. Gastroenterology of Japan - D Eric Beck,MD Bethesda Hospital Capitol Boelevard St Paul USA - Dr Emine Guderen Sahin Istambul University of Internal Medicine Turky - Dr Selmin Toplan Istambul University - Dr Nicholas New Australia - Dr Kughan Govinden. Tropical Infection of Internal Medicine Malaysia - Dr Godfrey M Rwegerera Princes Marina Hospital Bostwana -

Title : EFFICIENT COST AND ENERGY MANAGEMENT IN CLOUD DATA CENTERS

Author : DUDEKULA RESHMA, KUMMARA RANGA SWAMY, VIJAYA BHASKAR MADGULA

Abstract :

We target the problem of managing the power states of the servers in a Cloud Data Center (CDC) to jointly minimize the electricity consumption and the maintenance costs derived from the variation of power (and consequently of temperature) on the servers’ CPU. More in detail, we consider a set of virtual machines (VMs) and their requirements in terms of CPU and memory across a set of Time Slot (TSs). We then model the consumed electricity by taking into account the VMs processing costs on the servers, the costs for transferring data between the VMs, and the costs for migrating the VMs across the servers. In addition, we employ a material-based fatigue model to compute the maintenance costs needed to repair the CPU, as a consequence of the variation over time of the server power states. After detailing the problem formulation, we design an original algorithm, called Maintenance and Electricity Costs Data Center (MECDC), to solve it. Our results, obtained over several sce

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Dr. Arend L Mapanawang, Sp.PD, FINASIM, PhD

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