Mobile apps for Green Cloud Computing performance measure
Autor: | T.S. Sheela Shiney, S. Gavaskar, C. Renit, A. Anisha |
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Rok vydání: | 2016 |
Předmět: |
Engineering
Measure (data warehouse) Service (systems architecture) Database 010308 nuclear & particles physics business.industry Cost effectiveness Cloud computing 02 engineering and technology computer.software_genre 01 natural sciences Power usage effectiveness Embedded system Server 0103 physical sciences 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Customer satisfaction Data center business computer |
Zdroj: | 2016 International Conference on Energy Efficient Technologies for Sustainability (ICEETS). |
DOI: | 10.1109/iceets.2016.7583867 |
Popis: | The green cloud computing is the evolving area in which multiple datacenters are placed in different location for providing data and service to customer and users worldwide. The various performance measures for the efficient cloud computing data center are (PUF) Power Usage Factor, (DCiF) Data center Infrastructure Factor, (CPF) Compute Power Factor, (GEF) Green Energy Factor, (ERF) Energy Reuse Facility, (ECUF) Effective Carbon Usage factor, (WUF) Water Usage Factor, (DCPF) Data Centre production Factor, (DCePF) Data Centre Energy Production Factor, (SWaE) Space, Wattage and Effectiveness. The performance measure and data center servers has gained more importance due to cost effectiveness and customer satisfaction. However customer disagreement can be cause if performance measure is not provided by the data center as specified in SLA. In this paper we present an effective collaborative way to measure the various performance of the datacenter through a collaborative real-time mobile apps on smart phone. The Mobile apps can effectively provide interaction between customer and data center. |
Databáze: | OpenAIRE |
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