Optimal Container Resource Allocation Using Hybrid SA-MFO Algorithm in Cloud Architecture

Abstract

: Owing to the merits of container practice such as easier and more rapid consumption, superior portability, and limited overheads, it can be extensively installed over the cloud architecture. Then, a suitable architecture solution is proposed to develop the applications, which are produced using the microservice expansion model. Thus far, numerous research works have determined on resolving the open problems in container management and automation. In reality, for cloud providers, container resource allocation is considered as the main knothole as it directly influences the system performance and resource utilization. In this way, this work initiates a novel optimized container resource allocation framework by developing a novel optimization theory. Here, a novel hybrid approach is proposed such as, SA and MFO that is the hybridization of Simulated Annealing (SA) and Moth Flame Optimization Algorithm (MFOA) to create the prospect of optimal container resource allocation. In addition, the solution of optimized resource allocation is inclined with the modeling of a novel objective model which contemplates system failure, threshold distance, total network distance, and balanced cluster use, correspondingly. At last, the performance of the proposed approach is evaluated over other existing approaches and exhibits the performance of the proposed model.