Optimizing Task Scheduling using Cuckoo Searchalgorithm In Cloud Computing

سال انتشار: 1394
محل انتشار: اولین کنفرانس ملی محاسبات توزیعی و پردازش داده های بزرگ
کد COI اختصاصی: DCBDP01_048
زبان مقاله: انگلیسی
تعداد مشاهده: 496

نویسندگان

Tabriz Brunch, Islamic Azad University, Tabriz, Iran

Azarbaijan Shahid Madani University, Tabriz, Iran

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 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 thebest 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.

کلیدواژه ها

cloud computing, cost, scheduling, resource allocation, task and Cuckoo algorithm

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