Cost-Efficient Algorithms for Critical Resource Allocation in Cloud Federations

Hadji, Makhlouf; Aupetit, Benjamin; Zeghlache, Djamal

doi:10.1109/cloudnet.2016.11

Cited by 8 publications

(5 citation statements)

References 6 publications

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“…Hadji et al [82] contribution follows in this section. The authors proposed Gomory-Hu based on a scalable and decentralized solution in a Cloud federated environment aiming to minimize the execution time simultaneously and the maximization of the revenue.…”

Section: ) Performancementioning

confidence: 95%

Optimal Selection Techniques for Cloud Service Providers

Tricomi

Merlino

Panarello³

et al. 2020

IEEE Access

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Nowadays Cloud computing permeates almost every domain in Information and Communications Technology (ICT) and, increasingly, most of the action is shifting from large, dominant players toward independent, heterogeneous, private/hybrid deployments, in line with an ever wider range of business models and stakeholders. The rapid growth in the numbers and diversity of small and medium Cloud providers is bringing new challenges in the as-a-Services space. Indeed, significant hurdles for smaller Cloud service providers in being competitive with the incumbent market leaders induce some innovative players to "federate" deployments in order to pool a larger, virtually limitless, set of resources across the federation, and stand to gain in terms of economies of scale and resource usage efficiency. Several are the challenges that need to be addressed in building and managing a federated environment, that may go under the "Security", "Interoperability", "Versatility", "Automatic Selection" and "Scalability" labels. The aim of this paper is to present a survey about the approaches and challenges belonging to the "Automatic Selection" category. This work provides a literature review of different approaches adopted in the "Automatic and Optimal Cloud Service Provider Selection", also covering "Federated and Multi-Cloud" environments.

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Section: ) Performancementioning

confidence: 95%

Optimal Selection Techniques for Cloud Service Providers

Tricomi

Merlino

Panarello³

et al. 2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…In [17] a cost model, including insourcing and outsourcing costs of virtual resources was proposed. In [25], [26], the cost model consists in local, insourcing, outsourcing and network traffic costs.…”

Section: B Interconnected Cloud Cost Modelsmentioning

confidence: 99%

“…Insourcing [25], [26], [36], [3]: the opposite process of outsourcing. CSPs make available part of their unused resources to respond to requests from other members.…”

Section: ) a Requested Qos (Sla) In Terms Of Iops And Latencymentioning

confidence: 99%

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A Cost Model for Hybrid Storage Systems in a Cloud Federations

Chikhaoui

Boukhalfa

Boukhobza

2018

Annals of Computer Science and Information Systems

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A cloud federation gives to cloud service providers (CSP) the opportunity to collaborate in order to offer a better QoS to customers at a lower cost. To do so, CSPs make some spare resources available to others at a reduced cost. One of the most critical resources is the storage system as it represents the main system bottleneck. From this point of view, how to efficiently place data in a federation of Clouds with heterogeneous storage systems is a real challenge. To address this issue, one needs to accurately estimate the data placement cost. In this paper, we propose a cost model for hybrid storage systems in a cloud federation for a Database as a Service (DBaaS) application. It takes into account the storage system characteristics, customers I/O workloads and SLA. The proposed cost model considers both 1) Internal customers data placement cost including local placement, outsourcing, back-migration and penalty costs, and 2) External customers data placement cost including insourcing and geo-migration costs. It can be used to help in the decision-making process which aims to enhance customers QoS and reduce CSPs costs in a federation. Simulation results showed the relevance of the considered costs. We have shown that mis-considering some sub-costs may lead to a 95% cost error for external customers data placement and 80% for outsourcing customers. This may cause significant financial loss.

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“…The authors of (Sahni and Vidyarthi, 2015;Tsai and Liao, 2015;Waibel et al, 2016;Hadji et al, 2016) proposed that the public cloud offers pay per use, which can provide low-cost options for short-term projects. Still, for long-term use, enterprise IT organizations may be better off making a capital investment to purchase additional hardware and software.…”

Section: Introductionmentioning

confidence: 99%

Application of Graph Theory Concepts in Computer Networks and its Suitability for the Resource Provisioning Issues in Cloud Computing-A Review

Devi¹,

Murugaboopathi²

2018

Journal of Computer Science

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Cloud computing, a kind of web service provisioning model, provides immense benefits over traditional IT service environments with the help of virtualization technology. As cloud computing is not a fully matured paradigm, it poses many open issues to be addressed. The key research problem in cloud computing is efficient resource provisioning which is due to its complex and distributed architecture. Graph-based representations of complex networks provide simpler views and graph theoretical techniques provide simpler solutions for lot of issues inherent in networks. Hence, this paper begins with exploration of graph theory applications in computer networks with specific focus on graph theory applications in cloud computing. This work pays attention to basic resource provisioning problems arise in cloud computing environments and presents some conceptual graph theoretical suggestions to address these issues.

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Cost-Efficient Algorithms for Critical Resource Allocation in Cloud Federations

Cited by 8 publications

References 6 publications

Optimal Selection Techniques for Cloud Service Providers

Optimal Selection Techniques for Cloud Service Providers

A Cost Model for Hybrid Storage Systems in a Cloud Federations

Application of Graph Theory Concepts in Computer Networks and its Suitability for the Resource Provisioning Issues in Cloud Computing-A Review

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