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Proactive load balancing fault tolerance in real cloud computing (PLBFT) / Salma Mohamed Ali Attallah ; Supervised Magda B. Fayek , Elsayed E. Hemayed , Salwa M. Nassar

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Salma Mohamed Ali Attallah , 2021Description: 97 P. : charts , facsimiles ; 30cmOther title:
  • إستباقية توزيع الأحمال والتسامح مع الأخطاء فى الحوسبة السحابية الحقيقية [Added title page title]
Subject(s): Online resources: Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Computer Engineering Summary: Reliability is one of cloud computing research issues; because of different reasons such as network instability, unprofessional use etc. Some of these reasons cause high CPU utilization, memory crashes, full storage.The aim of our thesis is to increase the reliability of cloud systems.This is achieved by developing a proactive fault tolerance model with a load balancing system, this model deals with CPU faults in a virtual machine environment.The prediction of faults before occurrence is the main idea of our research. Finally, we tested our model with a real cloud system contains four nodes (controller node, network node, and two compute nodes)
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Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.06.Ph.D.2021.Sa.P (Browse shelf(Opens below)) Not for loan 01010110084473000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.06.Ph.D.2021.Sa.P (Browse shelf(Opens below)) 84473.CD Not for loan 01020110084473000

Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Computer Engineering

Reliability is one of cloud computing research issues; because of different reasons such as network instability, unprofessional use etc. Some of these reasons cause high CPU utilization, memory crashes, full storage.The aim of our thesis is to increase the reliability of cloud systems.This is achieved by developing a proactive fault tolerance model with a load balancing system, this model deals with CPU faults in a virtual machine environment.The prediction of faults before occurrence is the main idea of our research. Finally, we tested our model with a real cloud system contains four nodes (controller node, network node, and two compute nodes)

Issued also as CD

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