Laud Charles Ochei
Evaluating the effect of locking on multitenancy isolation for components of cloud-hosted services.
Ochei, Laud Charles; Ejiofor, Christopher Ifeanyichukwu
Christopher Ifeanyichukwu Ejiofor
Multitenancy isolation is a way of ensuring that the performance, stored data volume and access privileges required by one tenant and/or component does not affect other tenants and/or components. One of the conditions that can influence the varying degrees of isolation is when locking is enabled for a process or component that is being shared. Although the concept of locking has been extensively studied in database management, there is little or no research on how locking affects multitenancy isolation and its implications for optimizing the deployment of components of a cloud-hosted service in response to workload changes. This paper applies COMITRE (Component-based approach to Multitenancy Isolation through Request Re-routing) to evaluate the impact of enabling locking for a shared process or component of a cloud-hosted application. Results show that locking has a significant effect on the performance and resource consumption of tenants especially for operations that interact directly with the local file system of the platform used on the cloud infrastructure. We also present recommendations for achieving the required degree of multitenancy isolation when locking is enabled for three software processes: continuous integration, version control, and bug tracking.
|Journal Article Type||Article|
|Publication Date||Jun 30, 2018|
|Journal||Advances in Science, Technology and Engineering Systems Journal|
|Peer Reviewed||Peer Reviewed|
|Institution Citation||OCHEI, L.C. and EJIOFOR, C.I. 2018. Evaluating the effect of locking on multitenancy isolation for components of cloud-hosted services. Advances in science, technology and engineering systems journal [online], 3(3), pages 92-99. Available from: https://doi.org/10.25046/aj030312|
|Keywords||Multitenacy; Tenant isolation; Locking; Cloud-hosted service; Cloud patterns; Software process; Bug tracking|
OCHEI 2018 Evaluating the effect