Trade-Off Analysis of Elasticity Approaches for Cloud-Based Business Applications

Suleiman, Basem; Sakr, Sherif; Venugopal, Srikumar; Sadiq, Shazia

doi:10.1007/978-3-642-35063-4_34

Cited by 7 publications

(1 citation statement)

References 10 publications

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“…policies that are defined to increase or decrease the resources [15,47]; SLA-based scaling, i.e. the triggering or changing the amount of resources that is controlled by established SLAs between cloud consumer and provider [65,56,13]; cloud bursting, i.e. the up-and downscaling of resources between private and public clouds [38].…”

Section: Introductionmentioning

confidence: 99%

Towards exploiting the full adaptation potential of cloud applications

Marquezan

Wessling

Metzger

et al. 2014

Proceedings of the 6th International Workshop on Principles of Engineering Service-Oriented and Cloud Systems

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Current technology for cloud application adaptation fails to capture two fundamental aspect of cloud environments: multiple adaptation options and interferences and dependencies among these multiple mechanisms. Addressing these aspects requires a significant extension of existing cloud tools and frameworks for engineering and executing cloud application adaptations. They should explicitly take into account: all entities of the cloud environment relevant for adaptation decisions; the concrete adaptation actions that these cloud entities may perform; and the mutual dependencies between those entities and actions. In this paper we provide the first insights towards such novel technology. As main contribution, we systematically elicit the key entities related to adaptations inside a cloud environment and explicitly document those in a conceptual model. To build this model we surveyed the literature, discussed with industrial partners with experience in cloud computing, and analyzed commercial solutions. We also provide a case study based on Amazon Web Services solutions, to show how our conceptual model can be instantiated and help developers to identify possible cloud application adaptation strategies.

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