A Lightweight Cloud Resource Management Framework
Keywords:
Resource allocation, Admission control, Scheduling, Cloud computing, Virtualization, Resource management, SDNAbstract
Cloud infrastructures provide computing and virtualization services where computing resources like memory, storage, and processing services are provided on demand. The management of these resources is a challenging task, and their execution in public and private cloud environments is often challenging. Existing approaches suggest the use of control techniques to resolve resource allocation problems. However, adoption of these techniques often leads to issues concerning reliance on the network service provider, service level agreements (SLAs) compliance, and data locality, etc. This paper presents a cloud resource administration framework. It aims at enhancing the performance capacity of a system by optimizing admission control and scheduling strategies. We begin by first analyzing the key issues in resource administration. We then present its architecture, followed by its design principles, policies, scenarios, and performance isolation scheme. The framework manages incoming service requests to address resource congestion problems. Its scheduling policy helps in administering load-synchronization issues. We also construct our framework’s scheduling policy and employ the Software-defined networking (SDN) concept for performance isolation. Then we rigorously implemented a prototype based on our scenarios and verified our system’s effectiveness. Based on our analysis, we identify that the proposed framework demonstrates significant improvement in workload admission, resource balancing, and congestion management up to 30% with slight performance degradation under controlled parameters.References
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