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Optimal Resource Utilization Strategy for Cloud using MAPE-K model and Microservices on Kubernetes Federation

Jagtap, Apoorva Prasad (2020) Optimal Resource Utilization Strategy for Cloud using MAPE-K model and Microservices on Kubernetes Federation. Masters thesis, Dublin, National College of Ireland.

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Abstract

With an exponential rise in the demand of the cloud based services, it is mandatory to utilize the resources judiciously or efficiently. This is crucial as with the dynamic auto scaling process, sometimes the resources are either over used or not used completely to their potential which leads to wastage. This paper presents a classic strategy for optimal utilization of resources using the Monitoring, Analyzing, Planning and Execution to build service Knowledge (MAPE-K) model proposed by International Business Machines Corporation (IBM) along with the containerized microservices on Kubernetes Federation cloud. The proposed algorithm is designed to compete with the traditional Horizontal Pod Auto scaling (HPA) algorithm in terms of throughput.
Keywords: HPA, MAPE-K, auto scaling, Microservices, Kubernetes Federation

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

T Technology > T Technology (General) > Information Technology > Cloud computing
Q Science > QA Mathematics > Electronic computers. Computer science > Computer Systems
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science > Computer Systems
Divisions: School of Computing > Master of Science in Cloud Computing
Depositing User: Dan English
Date Deposited: 09 Jun 2020 12:12
Last Modified: 09 Jun 2020 12:12
URI: http://trap.ncirl.ie/id/eprint/4252

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