A Comprehensive Study of Energy Efficient Saving Task Consolidation Algorithm for Cloud Computing
Lopamudra Das* , Satyaprakash Sahoo , Pranati Mishra , Parimita Mohanty , Babita Kumari
DOI : 10.46890/SL.2020.v01i05.009
Abstract
The powersaving in a cloud technology surrounding is a multifaceted challenge, which can directly reduce the in use costs. Task consolidation is a technique to raise resource usage. However, the greatest use of sources does not implies that there is convenient utilization of power and some resources which are unused resources also consumes significant amount of energy. Recent studies show that the power consumption of unused resources is 1 to 19%. Therefore, the idle resources are allotted with some task to make completely effective use of the idle period so that there will be overall minimum energy consumption.The advancement of technologies like software applications and system gadgethavebuild cloud technology a desired computing standard. Acquaintance procedure of managing are needed to link them together and build these resources use in the best possible way at various scales. So, to lower the power consumption of data centre. The general purpose to minimize the cost of datacentre Thus the procedure has inspired the goal to keep a brink level for CPUS with greater levels of usage for energy saving. If there is a greater CPU utilization that doesn’t equivalent to energy efficiency within that system.Power consumption is determined by hardware effectiveness. It is also dependant on the effectiveness of application running in the system and dependant on the resource saving system used on the infrastructure. Cloud computing can minimize labour costs, IT capital costs and increase productivity. Cloud technology refers to framing, handling and retrieving the hardware and software resource remotely. The objective of study is to review on Cloud offer configuration, online data storage and application.
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The powersaving in a cloud technology surrounding is a multifaceted challenge, which can directly reduce the in use costs. Task consolidation is a technique to raise resource usage. However, the greatest use of sources does not implies that there is convenient utilization of power and some resources which are unused resources also consumes significant amount of energy. Recent studies show that the power consumption of unused resources is 1 to 19%. Therefore, the idle resources are allotted with some task to make completely effective use of the idle period so that there will be overall minimum energy consumption.The advancement of technologies like software applications and system gadgethavebuild cloud technology a desired computing standard. Acquaintance procedure of managing are needed to link them together and build these resources use in the best possible way at various scales. So, to lower the power consumption of data centre. The general purpose to minimize the cost of datacentre Thus the procedure has inspired the goal to keep a brink level for CPUS with greater levels of usage for energy saving. If there is a greater CPU utilization that doesn’t equivalent to energy efficiency within that system.Power consumption is determined by hardware effectiveness. It is also dependant on the effectiveness of application running in the system and dependant on the resource saving system used on the infrastructure. Cloud computing can minimize labour costs, IT capital costs and increase productivity. Cloud technology refers to framing, handling and retrieving the hardware and software resource remotely. The objective of study is to review on Cloud offer configuration, online data storage and application.