Optimized Speculative Execution to Improve Performance of MapReduce Jobs on Virtualized Computing Environment
المؤلفون المشاركون
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-12-07
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Recently, virtualization has become more and more important in the cloud computing to support efficient flexible resource provisioning.
However, the performance interference among virtual machines may affect the efficiency of the resource provisioning.
In a virtualized environment, where multiple MapReduce applications are deployed, the performance interference can also affect the performance of the Map and Reduce tasks resulting in the performance degradation of the MapReduce jobs.
Then, in order to ensure the performance of the MapReduce jobs, a framework for scheduling the MapReduce jobs with the consideration of the performance interference among the virtual machines is proposed.
The core of the framework is to identify the straggler tasks in a job and back up these tasks to make the backed up one overtake the original tasks in order to reduce the overall response time of the job.
Then, to identify the straggler task, this paper uses a method for predicting the performance interference degree.
A method for scheduling the backing-up tasks is presented.
To verify the effectiveness of our framework, a set of experiments are done.
The experiments show that the proposed framework has better performance in the virtual cluster compared with the current speculative execution framework.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yang, Lei& Dai, Yu& Zhang, Bin. 2017. Optimized Speculative Execution to Improve Performance of MapReduce Jobs on Virtualized Computing Environment. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1189920
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yang, Lei…[et al.]. Optimized Speculative Execution to Improve Performance of MapReduce Jobs on Virtualized Computing Environment. Mathematical Problems in Engineering No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1189920
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yang, Lei& Dai, Yu& Zhang, Bin. Optimized Speculative Execution to Improve Performance of MapReduce Jobs on Virtualized Computing Environment. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1189920
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1189920
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