Cloud service selection using cloud service brokers: approaches and challenges

Vakili, Meysam; Jahangiri, Neda; Sharifi, Mohsen

doi:10.1007/s11704-017-6124-7

Cited by 5 publications

(2 citation statements)

References 26 publications

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“…The article that is presented by (Vakili, 2019) reviewed the issue of cloud service selection byconsideringdifferentCSBapproaches.TheauthorsproposeasetofattributesforaCSBtobe consideredeffective.DifferentCSBs'approachesareclassifiedaseithersingleserviceormultiple servicemodels.TheCSBsarethenassessed,analyzed,andcomparedwithrespecttotheproposed setofattributes.Also,thearticlethatispresentedby(JyotiA.a.,2021)presentsthegeneralconcept of service brokering in cloud computing. How the simulation techniques such as CloudSim and CloudAnalystareusedinthecloudmodeltoevaluateareal-worldproblemisalsodemonstrated.…”

Section: Related Workmentioning

confidence: 99%

Multi-Cloud Service Brokers for Selecting the Optimal Data Center in Cloud Environment

Elrotub

Gherbi

2022

International Journal of Cloud Applications and Computing

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Cloud computing provides different services through data centers that are often located in different geographical locations. The users are faced with a wide variety of services to choose from. Also, with the increasing number of serviced applications, overloading might occur on service brokers for balancing and serving the requests. Consequently, maximizing the number of entry points and considering the maximum number of factors that affect the performance for balancing the workload is very important for the quality of service. This paper proposes a model named multi-cloud service brokers (MCSB) for selecting the optimal DC using multiple entry points. The developed service broker policy shares information about the requests considering some new performance factors. This extension is added to the CloudAnalyst simulator tool which is used in this work, and the results are evaluated and compared to other existing policies from the literature.

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Section: Related Workmentioning

confidence: 99%

Multi-Cloud Service Brokers for Selecting the Optimal Data Center in Cloud Environment

Elrotub

Gherbi

2022

International Journal of Cloud Applications and Computing

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“…On the other side, the cloud computing can provide different means of communication for large amounts of data that are generated by the IoT devices. Nowadays, various cloud service brokers are helping their users in the selection of desired cloud services [16]. The combination of IoT with cloud computing fulfills the needs of scalability and adaptability for smart grid infrastructure.…”

Section: Introductionmentioning

confidence: 99%

Cloud Based IoT Solution for Fault Detection and Localization in Power Distribution Systems

et al. 2020

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Power restoring time in power distribution systems (PDS) can be minimized by using efficient fault localization techniques. This paper proposes a novel, robust and scalable cloud based internet of things (IoT) solution for identification and localization of faults in PDS. For this purpose, a new algorithm is developed that can detect single and multiple simultaneous faults in the presence of single and multiple device or sensor failures. The algorithm has utilized a zone based approach that divides a PDS into different zones. A current sensing device (CSD) was deployed at the boundary of a zone. The function of CSD is to provide time synchronized current measurements and communicate with a cloud server through an edge device (ED). Another contribution of this research work is the unique implementation of context aware policy (CAP) in ED. Due to CAP, only those measurements are transmitted to cloud server that differ from the previously transmitted measurements. The cloud server performed calculations at regular intervals to detect faults in PDS. A relational database model was utilized to log various fault events that occur in PDS. An IEEE 37 node test feeder was selected as PDS to observe the performance of our solution. Two test cases were designed to simulate individual and multiple simultaneous faults in PDS. A third test case was implemented to demonstrate the robustness and scalability of proposed solution to detect multiple simultaneous faults in PDS when single and multiple sensor failures were encountered. It was observed that the new algorithm successfully localized the faults for all the three cases. Consequently, significant reductions were noticed in the amount of data that was sent to the cloud server. In the end, a comparison study of a proposed solution was performed with existing methods to further highlight the benefits of our technique.

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A Survey on the Quality of Service and Metaheuristic Based Resolution Methods for Multi-cloud IoT Service Selection

Zebouchi

Aklouf

2022

Innovations in Bio-Inspired Computing and Applications

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Cloud service selection using cloud service brokers: approaches and challenges

Cited by 5 publications

References 26 publications

Multi-Cloud Service Brokers for Selecting the Optimal Data Center in Cloud Environment

Multi-Cloud Service Brokers for Selecting the Optimal Data Center in Cloud Environment

Cloud Based IoT Solution for Fault Detection and Localization in Power Distribution Systems

A Survey on the Quality of Service and Metaheuristic Based Resolution Methods for Multi-cloud IoT Service Selection

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