Year: 2014
Type: Proceeding article
Title: Resource Allocation for Maximum Performance and Minimum Cost for 3-tier SaaS Application in Azure
Author: Ristov, Sashko
Author: Gushev, Marjan
Author: Koteska, Bojana
Author: Velkovski, Goran
Abstract: Windows Azure is one of the most common commercial clouds, which offers a scalable and elastic platform to host applications. The cloud customers can choose from various number of different type instances according to their needs in order to avoid application bottleneck. Scaling the resources can be done on two ways, i.e., either to increase the instance with additional resources (CPU, RAM, HDD), or to add an additional instances, each with the same resources as the first one. Since the customer should pay different price for the scaling, we are interested which scaling provides better performance, and if we can generalize it. The goal of this paper is to determine which resource organization produces better performance and cost, as well as better price-performance ratio, i.e., if it is better to host the web application in a large number of ”smaller” application instances or small number of ”bigger” instances. The results show that the latter provides much better performance for less price.
Publisher:
Relation: XLIX International Scientific Conference on Information, Communication and Energy Systems and Technologies - ICEST 2014
Identifier: oai:repository.ukim.mk:20.500.12188/21636
Identifier: Sasko Ristov, Marjan Gusev, Bojana Koteska, and Goran Velkovski. “Resource Allocation for Maximum Performance and Minimum Cost for 3-tier SaaS Application in Azure”. In: Proceedings of the XLIX International Scientific Conference on Information, Communication and Energy Systems and Technologies - ICEST. Nis, Serbia: Faculty of Telecommunications, Technical University of Sofia, 2014, pp. 41–44. ISBN: I978-619-167- 182-3.
Identifier: I978-619-167- 182-3
Identifier: http://hdl.handle.net/20.500.12188/21636
