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العنوان
A flexible cloud service selection approach /
الناشر
Mustafa Mahmoud Alsayed ,
المؤلف
Mustafa Mahmoud Alsayed
هيئة الاعداد
باحث / Mustafa Mahmoud Alsayed
مشرف / Fatma A. Omara
مشرف / Hesham A. Hassan
مشرف / Fatma A. Omara
تاريخ النشر
2019
عدد الصفحات
203 P. :
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
Computer Science Applications
تاريخ الإجازة
9/1/2020
مكان الإجازة
جامعة القاهرة - كلية الحاسبات و المعلومات - Computer Science
الفهرس
Only 14 pages are availabe for public view

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from 227

Abstract

To meet the complex expectations of users, the cloud providers are competing for providing the needed IT functionalities, singly or collectively, as cloud services. Due to this competition, a great number of cloud services are being published to cover a wide range of these functionalities. In the competition context, these services are released with different QoS parameters and configuration parameters. Add to that, each of these Non-Functional Features (NFFs) may be released with various constraints (i.e., minimum and maximum utility measurements). The heterogeneity of the published cloud services, the lack of standardization, the insufficient knowledge of users about cloud technology, and the huge number of cloud services directly or indirectly represent the core of many cloud challenges. Cloud service discovery is one of these challenges that they have a direct impact on it. The majority of the cloud service discovery studies have confirmed that the absence of a standardized specification of cloud services renders the discovery of the appropriate cloud services, which satisfy the cloud users{u2019} demands, is a hot issue. It renders this process more complicated for the users, especially those with low cloud services{u2019} experience. The ontology technology can provide a common-access information layer. Therefore, the cloud ontology can mask the heterogeneity of cloud services and provide them in a unified and explicit specification format. So, the existing cloud service discovery studies have concerned with addressing the missing standardization problem and provide a homogenous specification model for cloud services by using the ontology