Resource allocation technique to obtain energy efficient cloud

العناوين الأخرى

تقنية تحديد المصادر للحصول على سحابة تستخدم الطاقة بفعالية

مقدم أطروحة جامعية

Akijian, Taleen Jack

مشرف أطروحة جامعية

Kayid, Ahmad K. A.

أعضاء اللجنة

Khalid, Mamun
Hirz Allah, Nail

الجامعة

جامعة الشرق الأوسط

الكلية

كلية تكنولوجيا المعلومات

القسم الأكاديمي

قسم علم الحاسوب

دولة الجامعة

الأردن

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2014

الملخص الإنجليزي

Cloud Computing has emerged the information and communication technology by providing end users by on-demand computing resources.

The enormous demand on cloud computing services resulted in setting up datacenters around the world with thousands of computer stations.

However, these datacenters consume huge amount of power thus increasing operational costs in addition to the negative impact on the environment.

This thesis presents an enhanced resource allocation technique, proposes a model, and employs a broker that uses the enhanced resource allocation technique taking into consideration two factors; the CPU and the RAM.

This thesis surveys the field of resource allocation for a better green cloud and studies the impact of several parameters rather than one parameter.

We took the CPU and the RAM into consideration unlike other studies where they took only the CPU utilization into consideration.

In this research, we proposed a new formula to combine the two resource factors which are the CPU and the RAM instead of including only one factor which was the CPU.

We enhanced the resource allocation algorithm and we designed a model.

Experiments and simulations were conducted in order to check power consumptions throughout different scenarios.

Accordingly, we could find the weight of each parameter to formulate this relation and use it in the enhanced algorithm.

We evaluated our work by implementing a broker that uses the enhanced algorithm for virtual machine distribution and the result was 17% energy saving.

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

عدد الصفحات

99

قائمة المحتويات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-699697