مشخصات پژوهش

صفحه نخست /Optimizing Task Scheduling ...
عنوان
Optimizing Task Scheduling using Cuckoo Search algorithm In Cloud Computing
نوع پژوهش مقاله ارائه شده
کلیدواژه‌ها
cloud computing, cost, scheduling, resource allocation, task and Cuckoo algorithm
چکیده
Today, cloud computing find a great reputation and is an example of distributed computing, and application of resources for the purpose of sharing resources is a service over the internet. This environment provides users the idea of infinity, so that users can apply to increase or reduce the use of resources. In other words, the cloud, pay to use. The cloud providers and users want the most out of their own resources, yet they also want to minimize their costs, they need to gain performance. Appropriate and optimal use of resources such as memory, processor is a challenge, therefore, an important issue is how to schedule tasks that have a great impact on the performance of cloud service providers. Scheduling, choose the best suitable source of emissions in order processors and maximum utilization of resources. As you complete each task, as well as response time and service costs to a minimum. The main issue is one of how to work with the least delay for the user and the server, it is logical to be accurate and. Cuckoo algorithm is one of the newest and most powerful evolutionary optimization methods have been introduced so far.
پژوهشگران هادی فراش زاده (نفر اول)، عسگر علی بویر (نفر دوم)