Tasks Scheduling Algorithm with Predefined Dead Line and Considering the Balance Factor

Cloud computing system is a set of computing resources and users that are scattered around the world. Many innovative algorithms have been presented so far on how to schedule tasks in cloud environments and their main goal is to optimize one of the parameters of service quality. The most traditional methods had one-dimensional view and have forgotten one factor by optimizing another one. Therefore, in this paper, after examining the strengths and weaknesses of the previous methods of scheduling, a method is presented on how the timing and submitting of tasks to the clouds is done. It can be achieved by considering a factor called balance factor. The purpose of this procedure is to achieve the lowest cost and implementation time and less failed works and therefore the greater efficiency based on the balance factor and its limit is determined by the user importance. This approach sorts the received tasks according to their deadlines and reviews frequently the costs and implementation time on each cloud to obtain the balance factor for all clouds. Then it selects the best cloud in terms of balance factor for the task and sends it to run, and then reviews the tasks at suitable intervals and makes changes if necessary. This method can maximize the success rate of task execution because it puts the priority on realizing the deadlines of the tasks and each time reviews the balance factor as defined by the user . It can have the lowest administrative costs and simultaneously make decisions to minimize the response time by specifying the cloud with the minimum cost and putting a priority for task execution.