Abstract
The submission of tasks to a data center plays a crucial role to achieve the services like scheduling, processing in a cloud computing environment. Energy consumption of a data center must be considered for task processing as it results in high operational expenditures and bad environmental impact. Unfortunately, none of the current research works focus on energy factor while submitting tasks to a cloud. In this paper a framework is proposed to select a data center with minimum energy consumption. The service provider has to register all the data centers in a registry. The energy consumed by task processing using virtualization and energy of IT equipments like routers, switches is calculated. The data center selection framework finally selects the data center with minimum energy consumption for task processing. The experimental results indicate that the proposed idea results in a less energy when compared to the existing algorithms for selection of data centers.
Highlights
Cloud computing is growing predominantly because of the pay-as-you go model [1].According to Gartner Report the cloud services expanded in to a $210 billion market by the year 2016 [2]
The algorithms often used in literature are outlined below: 1) Spot electricity prices: In this procedure the current electricity consumed by the data centers are taken in to account and the tasks submission is done by predicting the future variations in the electricity prices
If the no. of tasks (λ) in Ready Queue > threshold value (Th) or the Time > 60s whichever condition is met earlier the tasks are assigned to Task Allocator (TA). TA sends a request to Energy calculator Module (EC) where the total energy consumed by the data centers is calculated and the data center with minimum energy consumption is given the tasks for processing
Summary
Cloud computing is growing predominantly because of the pay-as-you go model [1].According to Gartner Report the cloud services expanded in to a $210 billion market by the year 2016 [2]. The tasks submission can be done in such a way that the data center with minimum energy consumption can be preferred over others for processing. The data center with minimum electricity consumption is preferred The drawback of this approach is it considers various non processing elements like lights, air conditioning units .., for selection of data centers. The disadvantage is it does not take in to account the energy consumption which is relatively expensive when compared to the network elements like routers, bridges.., required to expedite the process of forwarding requests to the data centers. To overcome the shortcomings in the existing approaches a data center selection framework (DCSF) is proposed which will calculate the energy used for processing of tasks. The tasks are forwarded to the data center with minimum energy consumption. The results indicate that the proposed approach consumes less energy when compared to the others
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