Author

Amgad Madkour

Abstract

Scalability imposes itself as a great setback for pervasive computing research. We present a novel approach called Open Spaces that provides users characterized with various mobility patterns with both scalable and intelligent resource allocations based on user context.Resource sharing typically includes memory, processing, and secondary storage. To provide such resource sharing in terms of context, we discuss in this work the idea of physical or logical structures called domes that form the Open Spaces environment and encapsulate both user resources and context information. We present resource sharing as an application to illustrate how computing resources can be allocated inside domes, and how user mobility patterns affect the re-allocation of resources inside the domes themselves. We present a way by which computing resources can be dynamically allocated and shared between users within the environment in a transparent and efficient manner. We use secondary storage such as main memory as our primary resource sharing criteria due to its speed advantage. Its primary usage is for holding application data loaded into memory per user device. This in turn would allow providing a shared memory model that can also be reused among the sharing users in the system. We then discuss how we can predict future resource acquisitions by learning the user navigational patterns inside Open Spaces. Our results show that learning user resource sharing patterns within Open Spaces creates a better prediction model than conventional resource sharing systems.

Department

Computer Science & Engineering Department

Degree Name

MS in Computer Science

Date of Award

6-1-2009

Online Submission Date

September 2012

First Advisor

Aly, Sherif

Document Type

Thesis

Rights

The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy. The author has granted the American University in Cairo or its agents a non-exclusive license to archive this thesis, dissertation, paper, or record of study, and to make it accessible, in whole or in part, in all forms of media, now or hereafter known.

IRB

Not necessary for this item

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