Automated Non-repudiable Cloud Resource Allocation

Clark, Kassidy P.; Warnier, Martijn; Brazier, Frances M. T.

doi:10.1007/978-3-319-04519-1_11

Cited by 3 publications

(2 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most of the works that focus on the SLA-based service selection and allocation in Clouds are focused only on maximizing the customer profit (Dastjerdi, 2013) and (Clark et al, 2013) or IaaS provider profit (Lee et al, 2010). The work in (Wu et al, 2011) is one of the first dealing with resource allocation from the SaaS provider perspective.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

HS4MC - Hierarchical SLA-based Service Selection for Multi-Cloud Environments

Farokhi

Jrad

Brandić

et al. 2014

Proceedings of the 4th International Conference on Cloud Computing and Services Science

View full text Add to dashboard Cite

Cloud computing popularity is growing rapidly and consequently the number of companies offering their services in the form of Software-as-a-Service (SaaS) or Infrastructure-as-a-Service (IaaS) is increasing. The diversity and usage benefits of IaaS offers are encouraging SaaS providers to lease resources from the Cloud instead of operating their own data centers. However, the question remains for them how to, on the one hand, exploit Cloud benefits to gain less maintenance overheads and on the other hand, maximize the satisfactions of customers with a wide range of requirements. The complexity of addressing these issues prevent many SaaS providers to benefit from the Cloud infrastructures. In this paper, we propose HS4MC approach for automatic service selection by considering SLA claims of SaaS providers. The novelty of our approach lies in the utilization of prospect theory for the service ranking that represents a natural choice for scoring of comparable services due to the users preferences. The HS4MC approach first constructs a set of SLAs based on the given accumulated SaaS provider requirements. Then, it selects a set of services that best fulfills the SLAs. We evaluate our approach in a simulated environment by comparing it with a state-of-the-art utilitybased algorithm. The evaluation results show that our approach selects services that more effectively satisfy the SLAs.

show abstract

Section: Related Workmentioning

confidence: 99%

“…There have been a number of studies exploring service selection in the Cloud such as (Bellavista et al, 2013), (Clark et al, 2013) and (Wu et al, 2013). However, they have mostly focused on maximizing the profit of either the customer or the IaaS providers by proposing solutions in a single Cloud without thoroughly investigating SLAs.…”

Section: Introductionmentioning

confidence: 99%