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العنوان
An adaptive model for service oriented software engineering based on quality of service in dynamic environments /
الناشر
Doaa Hany Elsayed Ibrahim ,
المؤلف
Doaa Hany Elsayed Ibrahim
هيئة الاعداد
باحث / Doaa Hany Elsayed Ibrahim
مشرف / Alaa El Din Mohamed Al Ghazali
مشرف / Eman Nasr
مشرف / Mervat Gheith
مناقش / Abdelaziz Khamis
تاريخ النشر
2019
عدد الصفحات
96 P. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
Information Systems
تاريخ الإجازة
24/11/2019
مكان الإجازة
جامعة القاهرة - المكتبة المركزية - Information Systems and Technology
الفهرس
Only 14 pages are availabe for public view

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from 113

Abstract

Service-Oriented Software Engineering (SOSE) plays a significant role in designing, developing, and maintaining software applications that will be developed by Web service (WS) technology. With the increasing complexity of users{u2019} requirements, WSs need to be combined together to fulfill them. The process of building new value-added services by integrating sets of existing WSs to satisfy users{u2019} requirements is called Web Service Composition (WSC). The selection of the best WS that fulfils the Functional Requirements (FRs) and optimizes the Quality of Service (QoS) requirements, such as response time, cost, reliability, etc., is a critical part of WSC, especially in a dynamic environment. WSs execute in a highly dynamic environment, as a result, the QoS of a WS is constantly evolving and this requires tracking of the global optimization over time to satisfy the users{u2019} requirements. In order to make a WSC adapt to such QoS changes of WSs, we propose a self-healing model for WSC. Self-healing is the automatic discovery and healing of the failure of a composite WS by itself due to QoS changes without interruption in the WSC and without any human intervention. To the best of our knowledge, almost all the existing self-healing models in this domain substitute the faulty WS with an equivalent one without paying attention to the WS selection processes to achieve the global optimization. They focus only on the WS substitution strategy