There are several physical data centers in cloud environment with hundreds or thousands of computers. Virtualization is the key technology to make cloud computing feasible. It separates virtual machines in a way that each of these so-called virtualized machines can be configured on a number of hosts according to the type of user application. It is also possible to dynamically alter the allocated resources of a virtual machine. Different methods of energy saving in data centers can be divided into three general categories: 1) methods based on load balancing of resources; 2) using hardware facilities for scheduling; 3) considering thermal characteristics of the environment. This paper focuses on load balancing methods as they act dynamically because of their dependence on the current behavior of system. By taking a detailed look on previous methods, we provide a hybrid method which enables us to save energy through finding a suitable configuration for virtual machines placement and considering special features of virtual environments for scheduling and balancing dynamic loads by live migration method.
A hybrid algorithm to reduce energy consumption management in cloud data centers
2019-02-01
oai:zenodo.org:4061457
International Journal of Electrical and Computer Engineering (IJECE) 9(1) 554-561
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC: | 629 |
AN APPROACH TO REDUCE ENERGY CONSUMPTION IN CLOUD DATA CENTERS USING HARMONY SEARCH ALGORITHM
BASE | 2018
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