Demystifying data center costs and prices

Management of costs on data is assuming significance with data growth. As information technology (IT) costs are spread in firms, thin and complex, perceptions of costs on data are hazy. | Demystifying data center costs and prices International Journal of Management IJM Volume 11 Issue 3 March 2020 pp. 346 353 Article ID IJM_11_03_037 Available online at http ijm JType IJM amp VType 11 amp IType 3 Journal Impact Factor 2020 Calculated by GISI ISSN Print 0976-6502 and ISSN Online 0976-6510 IAEME Publication Scopus Indexed DEMYSTIFYING DATA CENTER COSTS AND PRICES Sarvesh Kumar Tripathi Mother Dairy Fruits amp Vegetable Pvt Ltd India Avjeet Kaur KR Mangalam University Gurugram India ABSTRACT Management of costs on data is assuming significance with data growth. As information technology IT costs are spread in firms thin and complex perceptions of costs on data are hazy. Such haze become mist when cost basis for the data costs are different for service provider and service consumer. Service consumers are offered data services on the basis of per GB TB data stored moved retrieved or processed. While data center costing is commonly based on the amount of electricity requirement like 10 MW data center. Range of costs estimates for data center in terms of per TB per month is observed irrationally high while range of data center services prices are observed in rationally narrow range of TB per month. Key Words Data Centre Cost Data Centre On-cloud service TCO Costing for IT Data cost Costing of data. Cite this Article Sarvesh Kumar Tripathi and Avjeet Kaur Demystifying Data Center Costs and Prices International Journal of Management IJM 11 3 2020 pp. 346 353. http IJM JType IJM amp VType 11 amp IType 3 1. INTRODUCTION We are in transition from data age to digital intelligence age. Artificial intelligence requires data as much one can accumulate. Digital data generation is involuntary and storage a compulsion. People are indifferent to usefulness of data stored. Data growth is exponential and same is the case with associated costs. It is feared approaching a data tsunami in upcoming

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