Bukhary Ikhwan Ismail

Evaluation of Docker as Edge computing platform

High latency, network congestion and network bottleneck are some of problems in cloud computing. Moving from centralized to decentralized paradigm, Edge computing could offload the processing to the edge which indirectly reduces application response time and improves overall user experience. This paper evaluate Docker, a container based technology as a platform for Edge Computing. 4 fundamental criteria were evaluated 1) deployment and termination, 2) resource & service management, 3) fault tolerance and 4) caching. Based on our evaluation and experiment Docker provides fast deployment, small footprint and good performance which make it potentially a viable Edge Computing platform.

A survey on SLA-based brokering for inter-cloud computing

Service Level Agreement (SLA), a contract between IT service provider and customer, clearly defines hardware and software parameters to ensure Quality of Service (QoS). Cloud Service Brokering (CSB) provides either API or User Interface (UI) between service subscriber and service provider which enable interoperability between several separate clouds to improve service intermediation, aggregation and arbitrage. Today, SLA-based brokering technology is emerging and has been used to ensure QoS for Inter-Cloud environment. In this paper, we surveyed and evaluated some of the latest SLA-based service brokering projects. Additionally, we discussed a high level architectural view of cloud service broker derived from these projects.

Architecture of scalable backup service for private cloud

In this paper we propose a scalable backup service for virtualization infrastructure such as private cloud called hBaaS. hBaaS is designed to utilize existing infrastructure without the needs of additional equipment to provision it as-a-Service model. We propose an integrated solution for virtualization platform that scales as the total VMs increases. The solution addresses the issue of concentrated backup schedule on a specific time range which potentially cause resource bottleneck. We discuss two methods to reduce the backup workload footprint; by distributing the backup workload operation into multiple proxy servers and push the backup operations into background which increases the duration of time to backup but lessen the impact of backup operation to the infrastructure. Indirectly, hBaaS will be able to cater more backup requests from users.

Determining Overhead, Variance & Isolation Metrics in Virtualization for IaaS Cloud

Infrastructure as a Service cloud provides an open avenue for consumer to easily own computing and storage infrastructure. User can invent new services and have it deploy in a fraction of a time. As services being consumed, user expect consistent performance of their virtual machines. To host an IaaS, virtualization performance and behaviour need to be understood first. In this paper we present virtualization benchmarking methods, results and analysis in various resource utilization scenarios. The scenarios are Performance Overhead; the cost of virtualization compared to physical, Performance Variance; the VM instance performance when more VM is instantiate and Performance Fairness or Isolation; the study of fairness on each of the guest instances under stress environment. These studies provides us the fundamental understanding of virtualization technology.

Extending Cloud Resources to the Edge: Possible Scenarios, Challenges, and Experiments

Cloud Computing and IoT have been around for quite some time. The use of Cloud Computing to compute or to store IoT data is useful as Cloud can offer such an effective and cheap solution to access resources from the edge. However, extensively use such resources may face degradation since the data and applications are processed in the cloud where every bit of data is transferred over the network from the edge. In this paper, we describe our work on extending our Cloud Computing infrastructure to the edge environment by exploiting the use of Docker containers as a mean of virtualization that run at the edge. Possible scenarios of cyber infrastructure to support IoT services that may take advantage of edge computing concept are described. Next, we describe the edge requirement and discuss the challenges that are arisen for those scenarios. Experiment sets to see the potentiality of Docker container as a mean ofvirtualization for the edge environment are also described and discussed. Finally, we summarize our work and discuss the future work.

Policy management for Docker ecosystem

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.