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A framework for achieving the required degree of multitenancy isolation for deploying components of a cloud-hosted service.

Ochei, Laud Charles; Petrovski, Andrei; Bass, Julian M.

Authors

Laud Charles Ochei

Andrei Petrovski

Julian M. Bass



Abstract

Multitenancy allows multiple tenants to access a single instance of a cloud offering. While several approaches exist for implementing multitenancy, little attention has been paid to implementing the required degree of isolation since there are varying degrees of isolation that can be implemented for each tenant. This paper presents a framework for achieving the required degree of isolation between tenants accessing a cloud offering so that the required performance, resource utilisation and access privilege of one tenant does not affect other tenants when there are workload changes. The framework is composed of two main constituents: 1) component-based approach to multitenancy isolation through request re-routing (COMITRE); 2) an optimisation model for providing optimal solutions for deploying components of a cloud-hosted service. We demonstrate using a case study of: 1) a cloud-hosted bug tracking system; 2) a synthetic dataset, the possibility of providing the required degree of isolation and optimal deployment solutions.

Journal Article Type Article
Publication Date Dec 31, 2018
Journal International journal of cloud computing
Print ISSN 2043-9989
Electronic ISSN 2043-9997
Publisher Inderscience
Peer Reviewed Peer Reviewed
Volume 7
Issue 3-4
Pages 248-281
Institution Citation OCHEI, L.C., PETROVSKI, A. and BASS, J.M. 2018. A framework for achieving the required degree of multitenancy isolation for deploying components of a cloud-hosted service. International journal of cloud computing [online], 7(3-4), pages 248-281. Available from: https://doi.org/10.1504/IJCC.2018.095396
DOI https://doi.org/10.1504/IJCC.2018.095399
Keywords Bug tracking system; Cloudhosted service; Components; Degree of isolation; Global software development; Multitenancy; Optimal solution; Optimisation model; Software development tools; Tenants; Workload

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