Self-configuration for service specific overlay network (SSON)‎

العناوين الأخرى

المعايرة الذاتية للشبكات الفوقية ذات الخدمة المتخصصة

مقدم أطروحة جامعية

al-Shatnawi, Ahmad Abd al-Majid Said

مشرف أطروحة جامعية

al-Ubaydi, Qasim
al-Uqayli, Ibrahim

الجامعة

جامعة فيلادلفيا

الكلية

كلية تكنولوجيا المعلومات

القسم الأكاديمي

قسم علم الحاسوب

دولة الجامعة

الأردن

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2011

الملخص الإنجليزي

The fast augmentation of services and networks has introduced novel complex environments.

To handle complexity, IBM proposed autonomic computing.

It allows systems to manage themselves without human intervention.

On the other hand, overlay networks are getting an enormous consideration because they provide effective and reliable services.

With the augmented number of services and mobile users, management of overlay networks is becoming more complex.

Self-configuration has been used to solve overlay networks management complexity through creating a self-configured environment that can respond automatically and transparently to changing conditions.

A special type of overlay networks is called Service Specific Overlay Networks (SSONs).

It is designed to meet the user's specific requirements.

A key component to these overlay networks is the Media Ports (MPs).

MPs are network side functions that provide value added functions such as catching, synchronization, and adaptation.

MPs are dynamic in the sense that they can leave the network.

Moreover, MPs may also fail.

This will result in disconnecting the service.

Therefore, self-configuration is needed to solve these problems.

In this thesis, a self-configuration architecture for Service Specific Overlay Networks is proposed.

Using the proposed scheme services and resources are managed dynamically without human intervention, and the process of configuration and reconfiguration of services is transparent from the user.

Moreover, a resource discovery scheme for MPs is proposed to facilitate the process of configuration and reconfiguration of services.

The proposed approach clusters MPs into groups of similar types.

Clusters are disjoint with no global entity.

To discover MPs a modified version of the Random Walk (RW) called RW+ is presented.

The proposed RW+ allows network nodes to learn about existing clusters and resources in an efficient way.

Moreover, an efficient self-configuration algorithm is proposed.

The algorithm enables SSONs to respond to unexpected conditions and continue to introduce its services.

It takes in to account the dynamic nature of SSONs.

The proposed approaches have been implemented, tested, and verified using the J-Sim simulator.

Results show a significant improvement in network load and success rate.

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

عدد الصفحات

88

قائمة المحتويات

Table of contents.

Abstract.

Abstract in Arabic.

Chapter One : Introduction.

Chapter Two : Related work.

Chapter Three : Self-configuration architecture.

Chapter Four : Clustering and discovering.

Chapter Five : Realizing self-configuration in SSONs.

Chapter Six : Conclusion and future work.

References.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

al-Shatnawi, Ahmad Abd al-Majid Said. (2011). Self-configuration for service specific overlay network (SSON). (Master's theses Theses and Dissertations Master). Philadelphia University, Jordan
https://search.emarefa.net/detail/BIM-725373

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

al-Shatnawi, Ahmad Abd al-Majid Said. Self-configuration for service specific overlay network (SSON). (Master's theses Theses and Dissertations Master). Philadelphia University. (2011).
https://search.emarefa.net/detail/BIM-725373

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

al-Shatnawi, Ahmad Abd al-Majid Said. (2011). Self-configuration for service specific overlay network (SSON). (Master's theses Theses and Dissertations Master). Philadelphia University, Jordan
https://search.emarefa.net/detail/BIM-725373

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-725373