Bukhary Ikhwan Ismail | Universiti Sains Malaysia (original) (raw)
Address: Cheras, Malaysia
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Edge Computing is a form of geographically and dispersed distributed system. It shifts computing ... more Edge Computing is a form of geographically and dispersed distributed system. It shifts computing resources from a centralized paradigm i.e. Cloud or data center closer to the target objects e.g. data, user or sensors. By de-emphasizing centralization, it reduces communication bottlenecks and potential failure. Due to the nature of Edge Computing architecture challenges, resource management is complex. Policy management can automate and alleviate the management process that indirectly reduces the intervention of system administrators. A policy can be applied to multiple target edge devices to ensure its behavior uniformity. In this paper, we present our studies of the policy management system for managing edge resources. We present Mi-Focus Policy, which consist of Policy Hub for managing policies and Changkuk, a local Enforcement Engine which enforces policies in order to obtain a self-desired state required by the administrator.
—The usage of the cloud services and application increases recently. High latency, congestion and... more —The usage of the cloud services and application increases recently. High latency, congestion and network bottleneck are the problem in cloud computing. Alternately, Edge computing offload the services and application to the network edge which is closer to the user. Edge computing reduces the latency and response time of the services and applications, furthermore improve the user experience. Container is of the technology to enabling Edge computing. Docker and LXC are the two example of container technology. Docker extends from Linux Kernel userspace. The components of Docker include multiple namespaces, resource management using Linux cgroups and UnionFS. Docker image is small and lightweight. User can push, search and pull the Docker image from Docker Registry. Docker Shipyard and Docker Swarm are two popular Docker management tools. One testbed with one datacenter and three edge sites is setup and configured to evaluate the Docker as a candidate to enabling Edge Computing, There are four criteria used in the evaluation. The criteria are resource management, resource management, fault tolerance and caching. Docker Ferry configured the Hadoop in Docker been used in the evaluation process. Overall Docker provides fast deployment, elasticity and good performance over virtual machine based Edge computing platform. In conclusion, Docker is a much attractive technology to enable Edge computing.
Edge Computing is a form of geographically and dispersed distributed system. It shifts computing ... more Edge Computing is a form of geographically and dispersed distributed system. It shifts computing resources from a centralized paradigm i.e. Cloud or data center closer to the target objects e.g. data, user or sensors. By de-emphasizing centralization, it reduces communication bottlenecks and potential failure. Due to the nature of Edge Computing architecture challenges, resource management is complex. Policy management can automate and alleviate the management process that indirectly reduces the intervention of system administrators. A policy can be applied to multiple target edge devices to ensure its behavior uniformity. In this paper, we present our studies of the policy management system for managing edge resources. We present Mi-Focus Policy, which consist of Policy Hub for managing policies and Changkuk, a local Enforcement Engine which enforces policies in order to obtain a self-desired state required by the administrator.
—The usage of the cloud services and application increases recently. High latency, congestion and... more —The usage of the cloud services and application increases recently. High latency, congestion and network bottleneck are the problem in cloud computing. Alternately, Edge computing offload the services and application to the network edge which is closer to the user. Edge computing reduces the latency and response time of the services and applications, furthermore improve the user experience. Container is of the technology to enabling Edge computing. Docker and LXC are the two example of container technology. Docker extends from Linux Kernel userspace. The components of Docker include multiple namespaces, resource management using Linux cgroups and UnionFS. Docker image is small and lightweight. User can push, search and pull the Docker image from Docker Registry. Docker Shipyard and Docker Swarm are two popular Docker management tools. One testbed with one datacenter and three edge sites is setup and configured to evaluate the Docker as a candidate to enabling Edge Computing, There are four criteria used in the evaluation. The criteria are resource management, resource management, fault tolerance and caching. Docker Ferry configured the Hadoop in Docker been used in the evaluation process. Overall Docker provides fast deployment, elasticity and good performance over virtual machine based Edge computing platform. In conclusion, Docker is a much attractive technology to enable Edge computing.