An improved grey wolf optimization algorithm based task scheduling in cloud computing environment
المؤلفون المشاركون
Natesan, Gobalakrishnan
Chokkalingam, Arun
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 17، العدد 1 (31 يناير/كانون الثاني 2020)، ص ص. 73-81، 9ص.
الناشر
جامعة الزرقاء عمادة البحث العلمي
تاريخ النشر
2020-01-31
دولة النشر
الأردن
عدد الصفحات
9
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
The demand for massive computing power and storage space has been escalating in various fields and in order to satisfy this need a new technology known as cloud computing is introduced.
The capability of providing these services effectively and economically has made cloud computing technology more popular.
With the advent of virtualization, IT services being offered have started to shift to cloud computing.
Virtualization had paved way for resource availability in an inexhaustible manner.
As Cloud Computing is still at its unrefined form and to derive its full potential more analysis is needed.
The way in which resources and tasks get allocated in cloud environment requires more analysis.
This in turn accounts for the Quality of Services (QoS) of the services offered by cloud service providers.
This paper proposes to simulate the PerformanceCost Grey Wolf Optimization (PCGWO) algorithm based to achieve optimization in the process of allocation of resources and tasks in cloud computing domain using CloudSim toolkit.
The main purpose is to lower both the processing time and cost in accordance to objective function.
The superiority of proposed technique is evident from the simulation results that show a comprehensive reduction in task completion time and cost.
Also using this technique more no.
of tasks can be efficiently completed within the deadline.
Thus the results indicate that in accordance to performance the PCGWO method fares better than existing algorithms
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Natesan, Gobalakrishnan& Chokkalingam, Arun. 2020. An improved grey wolf optimization algorithm based task scheduling in cloud computing environment. The International Arab Journal of Information Technology،Vol. 17, no. 1, pp.73-81.
https://search.emarefa.net/detail/BIM-955413
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Natesan, Gobalakrishnan& Chokkalingam, Arun. An improved grey wolf optimization algorithm based task scheduling in cloud computing environment. The International Arab Journal of Information Technology Vol. 17, no. 1 (Jan. 2020), pp.73-81.
https://search.emarefa.net/detail/BIM-955413
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Natesan, Gobalakrishnan& Chokkalingam, Arun. An improved grey wolf optimization algorithm based task scheduling in cloud computing environment. The International Arab Journal of Information Technology. 2020. Vol. 17, no. 1, pp.73-81.
https://search.emarefa.net/detail/BIM-955413
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 80-81
رقم السجل
BIM-955413
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر