Browsing by Author "Chundrigar, Shahzoob Bilal"
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Item type:Item, An Integrated, Virtualized Joint Edge and Fog Computing System with Multi-RAT Convergence(2018-01-01) ;Rapone, Damiano ;Quasso, Roberto ;Chundrigar, Shahzoob Bilal ;Talat, Samer T.Cominardi, LucaNotably, developing an innovative architectural network paradigm is essential to address the technical challenging of 5G applications' requirements in a unified platform. Forthcoming applications will provide a wide range of networking, computing and storage capabilities closer to the endusers. In this context, the 5G-PPP Phase two project named "5G-CORAL: A 5G Convergent Virtualized Radio Access Network Living at the Edge" aims at identifying and experimentally validating which are the key technology innovations allowing for the development of a convergent 5G multi-RAT access based on a virtualized Edge and Fog architecture being scalable, flexible and interoperable with other domains including transport, core network and distant Clouds. In 5G-CORAL, an architecture is proposed based on ETSI MEC and ETSI NFV frameworks in a unified platform. Then, a set of exemplary use cases benefiting from Edge and Fog networks in near proximity of the end-user are proposed for demonstration on top of connected car, shopping mall and high-speed train platforms.Item type:Item, ARNAB: Transparent Service Continuity across Orchestrated Edge Networks(2018-01-01) ;Abdullaziz, Osamah Ibrahiem ;Wang, Li-Chun ;Chundrigar, Shahzoob Bilal ;Huang, Kuei-Li電機工程學系In this paper, we present an architecture for transparent service continuity for cloud-enabled WiFi networks called ARNAB: ARchitecture for traNsparent service continuity viA douBle-tier migration. The term arnab means rabbit in Arabic. It is dubbed for the proposed service architecture because a mobileuser service with ARNAB behaves like a rabbit hopping through the WiFi infrastructure. To deliver continuous services, deploying edge clouds is not sufficient. Users may travel far from the initial serving edge and also perform multiple WiFi handoffs during mobility. To solve this, ARNAB employs a double-tier migration scheme. One migration tier is for user connectivity, and the other one is for edge applications. Our experimental results show that ARNAB can not only enable continuous service delivery but also outperform the existing work in the area of container live migration across edge clouds.Item type:Item, Enabling Mobile Service Continuity Across Orchestrated Edge Networks(2020-07-01) ;Abdullaziz, Osamah Ibrahiem ;Wang, Li-Chun ;Chundrigar, Shahzoob Bilal ;Huang, Kuei-Li電機工程學系Edge networking has become an important technology for providing low-latency services to end users. However, deploying an edge network does not guarantee continuous service for mobile users. Mobility can cause frequent interruptions and network delays as users leave the initial serving edge. In this paper, we propose a solution to provide transparent service continuity for mobile users in large-scale WiFi networks. The contribution of this work has three parts. First, we propose ARNAB architecture to achieve mobile service continuity. The term ARNAB means rabbit in Arabic, which represents an Architecture for Transparent Service Continuity via Double-tier Migration. The first tier migrates user connectivity, while the second tier migrates user containerized applications. ARNAB provides mobile services just like rabbits hop through the WiFi infrastructure. Second, we identify the root-causes for prolonged container migration downtime. Finally, we enhance the container migration scheme by improving system response time. Our experimental results show that the downtime of ARNAB container migration solution is 50% shorter than that of the state-of-the-art migration.Item type:Item, Opportunities and Challenges of Joint Edge and Fog Orchestration(2018-01-01) ;Cominardi, Luca ;Abdullaziz, Osamah Ibrahiem ;Antevski, Kiril ;Chundrigar, Shahzoob BilalGdowski, RobertPushing contents, applications, and network functions closer to end users is necessary to cope with the huge data volume and low latency required in future 5G networks. Edge and fog frameworks have emerged recently to address this challenge. Whilst the edge framework was more infrastructure-focused and more mobile operator-oriented, the fog was more pervasive and included any node (stationary or mobile), including terminal devices. This article analyzes the opportunities and challenges to integrate, federate, and jointly orchestrate the edge and fog resources into a unified framework.