A survey on SLA-based brokering for inter-cloud computing

Mostajeran, Ehsan; Ismail, Bukhary Ikhwan; Khalid, Mohammad Fairus; Ong, Hong

doi:10.1109/icctim.2015.7224588

Cited by 13 publications

(3 citation statements)

References 13 publications

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“…Also, the cloud environments that facilitate the brokering of distributed applications has been discussed. Mostajeran et al [12] presented a review on SLA based brokering for inter-cloud computing which focussed on QoS. In this work, the authors have elaborated some of the SLA based brokers with its work ow.…”

Section: Literature Reviewmentioning

confidence: 99%

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An Intelligent Cloud Broker with Service Ranking Algorithm for Validation and Verification of Cloud Services in Multi-cloud Environment

Nagarajan¹,

Vinothiyalakshmi²,

Ramkumar

2023

Preprint

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Cloud computing offers a widespread variety of services for the users. In multi-cloud environment, the service centric features are introduced to assist the cloud users from the multiple endpoints. In order to enhance the service availability, cloud brokerage is introduced into the multi-cloud environment that outperforms the effective utilization of required services. The primary objective of a cloud broker is to ensure about the services and its outcomes while offering them to a customer. The role of a traditional broker has the restrictions such as measuring the service trust, validity, and the future enhancement of the considered cloud services from the multi-cloud environment. Hence, the need for the intelligence feature is highly solicited in the cloud broker while working in a multi-cloud environment. The proposed intelligent cloud broker performs the validation and verification of service trust details by analysing the service trust factors such as service response time, sustainability, suitability, accuracy, transparency, interoperability, availability, reliability, stability, cost, throughput, efficiency, scalability of the cloud services. The customer’s feedback is taken into consideration for measuring the service trust factors before the service recommendation. In this proposed model, the Service Ranking (SR) values are calculated for the available cloud services. Additionally, the proposed model considers the newly arrived services during cloud services validation process by mapping its services with the available cloud services from the Service Collection Repository (SCR). Hence, this proposed model outperforms well in the process of recommending services to the cloud users.

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Section: Literature Reviewmentioning

confidence: 99%

“…E ciency (p12) E ciency de nes the effective utilization of cloud services which is measured by, E ciency= (12) here Time overheads are infrastructure initial delay, inter task communication delays etc.,…”

Section: Transparency (P 5 )mentioning

confidence: 99%

An Intelligent Cloud Broker with Service Ranking Algorithm for Validation and Verification of Cloud Services in Multi-cloud Environment

Nagarajan¹,

Vinothiyalakshmi²,

Ramkumar

2023

Preprint

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“…Cloud brokers intermediate the communication between a client and multiple providers and they comprise six key standard attributes (intermediation, aggregation, arbitrage, customization, integration, and standardization) . We identify different levels of interoperability in cloud brokers, which are: the data level, the virtual resources level, and the storage level.…”

Section: Classification Of the Cloud Service Interoperability Approachesmentioning

confidence: 99%

A survey on the service interoperability in cloud computing: Client‐centric and provider‐centric perspectives

2020

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The vendor lock-in is a prominent issue in cloud computing. It is caused by cloud providers who offer proprietary services, which hinders the cloud interoperability. Client-centric interoperability enables the migration of the data and applications across clouds; it gives the clients control over their workloads and a wider range of service choices. Whereas, provider-centric interoperability allows the providers to collaborate. Thus, providers, who have spare resources, can lend them to other providers who lack computational or storage capabilities to overcome the limitations of their local resources. In this article, we conduct a survey to differentiate between client-and provider-centric interoperability solutions. We aim to provide an up-to-date analysis of the current tendencies and the neglected areas of the cloud interoperability field. Thus, we study the cloud service interoperability evolution through the years. Furthermore, we propose definitions for the intra-cloud and inter-cloud interoperability. Moreover, we propose a taxonomy to classify the cloud interoperability approaches into client-centric and provider-centric categories. Then, for each category, we classify the approaches based on their interoperability environment into single cloud or interconnected clouds. Finally, we analyze and compare the approaches based on multiple criteria. The study reveals the focus on the client-centric solutions and the interoperability in interconnected clouds. We notice more interest in the data and application levels interoperability, mainly, in infrastructure as a service model. We also find that client-centric solutions are, mostly, semantic technologies and brokers. However, provider-centric solutions are middleware, protocols, and standards. We conclude that a generic cloud service interoperability model is needed.

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Cloud Service Brokerage and Service Arbitrage for Container-Based Cloud Services

Schulze¹

2018

Lecture Notes in Computer Science

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A survey on SLA-based brokering for inter-cloud computing

Cited by 13 publications

References 13 publications

An Intelligent Cloud Broker with Service Ranking Algorithm for Validation and Verification of Cloud Services in Multi-cloud Environment

An Intelligent Cloud Broker with Service Ranking Algorithm for Validation and Verification of Cloud Services in Multi-cloud Environment

A survey on the service interoperability in cloud computing: Client‐centric and provider‐centric perspectives

Cloud Service Brokerage and Service Arbitrage for Container-Based Cloud Services

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