Trusted cloud broker for estimating the reputation of cloud providers in federated cloud environment

Muralidharan, C.; Anitha, R.

doi:10.1002/cpe.6537

Cited by 3 publications

(5 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Regarding accuracy, their solution achieved a 70% satisfactory transaction rate in cloud marketplace. Similarly, Muralidharan and Anitha [20] proposed a reputationbased mechanism to supervise that Cloud Providers (CPs) meet the QoS levels declared in SLAs. To this end, the authors defined multiple performance levels, based on technical and non-technical parameters, using fuzzy sets to weigh them.…”

Section: Related Workmentioning

confidence: 99%

SLA-Driven Trust and Reputation Management Framework for 5G Distributed Service Marketplaces

Valero

Theodorou

Pérez

et al. 2024

IEEE Trans. Dependable and Secure Comput.

View full text Add to dashboard Cite

The fifth generation (5G) of mobile telecommunications is characterized by massive growth in the number of stakeholders, interconnected devices, and available services distributed under different administrative domains. Distributed marketplaces aim at facilitating stakeholders in the quest and hiring of third party resources and services. Establishing trustworthiness in such an open ecosystem is a cornerstone for the final deployment of these marketplaces in 5G networks and beyond. Hence, building trust management systems that ensure the selection of reliable parties or assets in 5G distributed marketplaces is essential. Thus, a reputation-based trust management framework is proposed to analyze stakeholder behavior patterns and predict trust scores to establish trustworthy relationships across domains. Furthermore, an Service Level Agreement (SLA)-driven reward and punishment mechanism is designed and developed on top of the reputationbased trust framework. Such a mechanism enables continuously adapting trust scores by gathering breach predictions, breach detections, and SLA violations in real time. Furthermore, an edgebased use case is presented to contextualize our reputation-based framework in a tangible enforcement scenario. In conclusion, three experiments were conducted on real-life testbeds demonstrating that our framework fairly distinguishes bad-mouthing attacks with 67% accuracy, when 50% recommenders are corrupted, and is resilient to continuous misbehavior bursts.

show abstract

Section: Related Workmentioning

confidence: 99%

SLA-Driven Trust and Reputation Management Framework for 5G Distributed Service Marketplaces

Valero

Theodorou

Pérez

et al. 2024

IEEE Trans. Dependable and Secure Comput.

View full text Add to dashboard Cite

show abstract

“…Therefore, the main challenge in forming a federation is to create an optimal federation whose members are not willing to leave. 11,12 One of the main ways to build loyalty to the federation is maximizing the profits of the federation members 13 ; that is, encouraging members to use their idle computational resources by joining the federation or get resources from other members of the federation if needed, and in this way maximize their profits. Therefore, maximizing the profits of service providers is the way to form an optimal federation.…”

Section: Motivationmentioning

confidence: 99%

“…In this part, the profit and investment are calculated from Equations ( 7) and ( 8) and the expected profit and average profit are fixed before the request; however, the income depends on the request. Therefore, Equation ( 12) is adjusted using investment balance; in which the investment balance has a direct relation with the income as presented in Equation (12).…”

Section: F I G U R Ementioning

confidence: 99%

See 1 more Smart Citation

A cost‐aware approach for cloud federation formation

Dinachali

Jabbehdari

Javadi

2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

The number of computing resources required for high‐volume applications is ever‐increasing. As far as the users' requests generate workload variations over time and the resources of cloud servers that respond to the requests are limited, the quality of services (QoS) of the cloud server is experiencing fluctuations. The cloud federation is a place where the cloud service providers work together to overcome the problem of resource scarcity and poor service quality. As a result, the main aim of forming a cloud federation is to create an optimal one in a way that provides the required resources and QoS for customers and maximum profit for the providers. Since the service providers play a key role in cloud federation formation, and their absence deteriorates the QoS of the federation, it is required to form an optimal cloud federation that provides the best profit for service providers to encourage them to remain in the federation. In the present paper, first, a model will be introduced for evaluating the cloud service providers, inspired by the concepts of macroeconomics. Then a greedy algorithm will be presented for forming an optimal federation. The proposed algorithm uses the evaluation results to rank the service providers and selects the best federation based on this ranking. In addition, the reputation of providers is evaluated based on the proposed method, which is a criterion for introducing the best providers. Furthermore, the surplus shared resources of the providers will be determined using the evaluation results and its optimal value will be proposed to cloud service providers using the proposed method. Finally, a set of tests will be performed on the introduced system.

show abstract

“…One approach is rejecting some user requests. This method can reduce the profit and the reputation for a service provider [2]. By the second approach, the provider increases the scale of the cloud by adding enough infrastructures to meet the users' peak demand.…”

Section: Introductionmentioning

confidence: 99%

An Improved Genetic Algorithm with Swarm Intelligence for Security-Aware Task Scheduling in Hybrid Clouds

2023

View full text Add to dashboard Cite

The hybrid cloud has attracted more and more attention from various fields by combining the benefits of both private and public clouds. Task scheduling is still a challenging open issue to optimize user satisfaction and resource efficiency for providing services by a hybrid cloud. Thus, in this paper, we focus on the task scheduling problem with deadline and security constraints in hybrid clouds. We formulate the problem into mixed-integer non-linear programming, and propose a polynomial time algorithm by integrating swarm intelligence into the genetic algorithm, which is named SPGA. Specifically, SPGA uses the self and social cognition exploited by particle swarm optimization in the population evolution of GA. In each evolutionary iteration, SPGA performs the mutation operator on an individual with not only another individual, as in GA, but also the individual’s personal best code and the global best code. Extensive experiments are conducted for evaluating the performance of SPGA, and the results show that SPGA achieves up to a 53.2% higher accepted ratio and 37.2% higher resource utilization, on average, compared with 12 other scheduling algorithms.

show abstract

Trusted cloud broker for estimating the reputation of cloud providers in federated cloud environment

Cited by 3 publications

References 24 publications

SLA-Driven Trust and Reputation Management Framework for 5G Distributed Service Marketplaces

SLA-Driven Trust and Reputation Management Framework for 5G Distributed Service Marketplaces

A cost‐aware approach for cloud federation formation

An Improved Genetic Algorithm with Swarm Intelligence for Security-Aware Task Scheduling in Hybrid Clouds

Contact Info

Product

Resources

About