| Autor: |
Laud Charles Ochei, Andrei Petrovski, Julian M. Bass |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
Journal of Cloud Computing: Advances, Systems and Applications, Vol 8, Iss 1, Pp 1-38 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
2192-113X |
| DOI: |
10.1186/s13677-018-0124-5 |
| Popis: |
Abstract One of the challenges of deploying multitenant cloud-hosted services that are designed to use (or be integrated with) several components is how to implement the required degree of isolation between the components when there is a change in the workload. Achieving the highest degree of isolation implies deploying a component exclusively for one tenant; which leads to high resource consumption and running cost per component. A low degree of isolation allows sharing of resources which could possibly reduce cost, but with known limitations of performance and security interference. This paper presents a model-based algorithm together with four variants of a metaheuristic that can be used with it, to provide near-optimal solutions for deploying components of a cloud-hosted application in a way that guarantees multitenancy isolation. When the workload changes, the model-based algorithm solves an open multiclass QN model to determine the average number of requests that can access the components and then uses a metaheuristic to provide near-optimal solutions for deploying the components. Performance evaluation showed that the obtained solutions had low variability and percent deviation when compared to the reference/optimal solution. We also provide recommendations and best practice guidelines for deploying components in a way that guarantees the required degree of isolation. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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