The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Container Orchestration With Cost-Efficient Autoscaling in Cloud Computing Environments
|
Author(s): Maria Rodriguez (University of Melbourne, Australia)and Rajkumar Buyya (University of Melbourne, Australia)
Copyright: 2020
Pages: 24
Source title:
Handbook of Research on Multimedia Cyber Security
Source Author(s)/Editor(s): Brij B. Gupta (National Institute of Technology, Kurukshetra, India)and Deepak Gupta (LoginRadius Inc., Canada)
DOI: 10.4018/978-1-7998-2701-6.ch010
Purchase
|
Abstract
Containers are widely used by organizations to deploy diverse workloads such as web services, big data, and IoT applications. Container orchestration platforms are designed to manage the deployment of containerized applications in large-scale clusters. The majority of these platforms optimize the scheduling of containers on a fixed-sized cluster and are not enabled to autoscale the size of the cluster nor to consider features specific to public cloud environments. This chapter presents a resource management approach with three objectives: 1) optimize the initial placement of containers by efficiently scheduling them on existing resources, 2) autoscale the number of resources at runtime based on the cluster's workload, and 3) consolidate applications into fewer VMs at runtime. The framework was implemented as a Kubernetes plugin and its efficiency was evaluated on an Australian cloud infrastructure. The experiments demonstrate that a reduction of 58% in cost can be achieved by dynamically managing the cluster size and placement of applications.
Related Content
Nithin Kalorth, Vidya Deshpande.
© 2024.
7 pages.
|
Nitesh Behare, Vinayak Chandrakant Shitole, Shubhada Nitesh Behare, Shrikant Ganpatrao Waghulkar, Tabrej Mulla, Suraj Ashok Sonawane.
© 2024.
24 pages.
|
T.S. Sujith.
© 2024.
13 pages.
|
C. Suganya, M. Vijayakumar.
© 2024.
11 pages.
|
B. Harry, Vijayakumar Muthusamy.
© 2024.
19 pages.
|
Munise Hayrun Sağlam, Ibrahim Kirçova.
© 2024.
19 pages.
|
Elif Karakoç Keskin.
© 2024.
19 pages.
|
|
|