Committee : Gail-Joon Ahn , Adam Doupe, Partha Dasgupta
With the increasing user demand for low latency, elastic provisioning of computing resources coupled with ubiquitous and on-demand access to real-time data, cloud computing has emerged as a popular computing paradigm to meet growing user demands.
However, with the introduction and rising use of wear- able technology and evolving uses of smart-phones, the concept of Internet of Things (IoT) has become a prevailing notion in the currently growing technology industry. Cisco Inc. has projected a data creation of approximately 403 Zetabytes (ZB) by 2018.
The combination of bringing benign devices and connecting them to the web has resulted in exploding service and data aggregation requirements, thus requiring a new and innovative computing platform. This platform should have the capability to provide robust real-time data analytics and resource provisioning to clients, such as IoT users, on-demand.
Such a computation model would need to function at the edge-of-the-network, forming a bridge between the large cloud data centers and the distributed connected devices.
This research expands on the notion of bringing computational power to the edge- of-the-network, and then integrating it with the cloud computing paradigm whilst providing services to diverse IoT-based applications. This expansion is achieved through the establishment of a new computing model that serves as a platform for IoT-based devices to communicate with services in real-time. We name this paradigm as Gateway-Oriented Reconfigurable Ecosystem (GORE) computing. Finally, this thesis proposes and discusses the development of a policy management framework for accommodating our proposed computational paradigm. The policy framework is designed to serve both the hosted applications and the GORE paradigm by enabling them to function more efficiently. The goal of the framework is to ensure uninterrupted communication and service delivery between users and their applications.
Clinton Dsouza, Gail-Joon Ahn, Marthony Taguinod
IEEE International Conference on Information Reuse and Integration (IRI), Redwood City, CA, USA, August 13, 2014
Carlos Rubio-Medrano, Clinton Dsouza, Gail-Joon Ahn
IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), Austin, TX, USA, October 20-23, 2013
As part of : Distributed Software Development Graduate Project under Dr. Janaka Balasooriya
Clinton Dsouza, Rafael Santana
Clinton Dsouza, Rafael Santana, Partha Dasgupta
Presented by Rafael Santanat at the Society of Hispanic Professional Engineers National Conference, 2012