عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
شماره کتابشناسی ملی
شماره
TLpq2524892609
زبان اثر
زبان متن نوشتاري يا گفتاري و مانند آن
انگلیسی
عنوان و نام پديدآور
عنوان اصلي
Towards Reliability Evaluation and Integration in Cloud Resource Management
نام عام مواد
[Thesis]
نام نخستين پديدآور
Alam, A. B. M. Bodrul
نام ساير پديدآوران
Zulkernine, Mohammad
وضعیت نشر و پخش و غیره
نام ناشر، پخش کننده و غيره
Queen's University (Canada)
تاریخ نشرو بخش و غیره
2020
مشخصات ظاهری
نام خاص و کميت اثر
136
یادداشتهای مربوط به پایان نامه ها
جزئيات پايان نامه و نوع درجه آن
Ph.D.
کسي که مدرک را اعطا کرده
Queen's University (Canada)
امتياز متن
2020
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
The adoption of cloud computing technology is increasing day by day due to its enormous services and low cost. Customers transfer their businesses to cloud because of the beneficial cloud features such as scalability, high performance, on-demand, and pay-per-use service model. However, transferring services to cloud adds a new level of risk due to loss of control, which makes service reliability an essential driving factor of the cloud market today, especially in light of the recent cloud failures and outages that raise customers' concerns. In this thesis, the goal is to propose a reliability evaluation model and integrate the developed model in cloud resource management such as Virtual Machine (VM) allocation, VM migration, and cloud federation formation in order to increase the cloud service reliability. In this thesis, firstly a cloud reliability evaluation model is proposed. Some types of failures from different domains of the cloud environment are considered to evaluate cloud reliability. To propose the evaluation model, a classification strategy for cloud failures is also outlined. Secondly, to show the impact of the integration of the proposed model, a multi-objective placement model for interdependent VMs in cloud is proposed while considering both reliability and some quality of service. A multi-objective genetic algorithm is used to solve the placement problem heuristically. Thirdly, a Markov-based failure prediction model is proposed to anticipate the failures of cloud servers. The proposed prediction model is then integrated into a VM migration model in a multi-cloud setting to maximize cloud reliability while reducing VM communication delay. The VM migration problem is solved optimally and heuristically using the Artificial Bee Colony (ABC) algorithm. Finally, a reliability-based cloud federation model is proposed using a hedonic coalition formation game based on a reliability-driven utility function. All proposed models will serve as a guide to both customers and cloud service providers towards the achievement of reliable resource allocation, migration, and federation formation. The effectiveness of all the models has been demonstrated through experiments. The evaluation shows that the models are computationally efficient and achieve higher cloud reliability.
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Classification
موضوع مستند نشده
Communication
موضوع مستند نشده
Customer services
موضوع مستند نشده
Failure analysis
موضوع مستند نشده
Optimization
موضوع مستند نشده
Software
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )
مستند نام اشخاص تاييد نشده
Alam, A. B. M. Bodrul
مستند نام اشخاص تاييد نشده
Zulkernine, Mohammad
دسترسی و محل الکترونیکی
نام الکترونيکي
مطالعه متن کتاب وضعیت انتشار
فرمت انتشار
p
اطلاعات رکورد کتابشناسی
نوع ماده
[Thesis]
کد کاربرگه
276903
اطلاعات دسترسی رکورد
سطح دسترسي
a
تكميل شده
Y
