QoS based trust management model for Cloud IaaS

Goyal, Mayank Kumar; Aggarwal, Alok; Gupta, Punit; Kumar, Pradeep

doi:10.1109/pdgc.2012.6449933

Cited by 33 publications

(6 citation statements)

References 8 publications

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“…Trust management systems play a critical role in all environments that involve exchanging services between different parties, including P2P networks [17][18][19][20] and cloud computing environments [21][22][23]. Several trust management systems based on various trust parameters have thus been proposed in the literature [1,[3][4]. In this section, we briefly review related work on subjective-logic-based trust management systems in particular and trust management systems in cloud computing in general.…”

Section: Related Workmentioning

confidence: 99%

“…Data storage location and unauthorized access to their data are among the most crucial concerns of cloud customers. Therefore, the establishment of trust has become a main concern for organizations considering migrating to the cloud [3,4]. However, trust is needed not only by clients when selecting among various cloud service provides but also by service providers themselves when dealing with each other.…”

Section: Introductionmentioning

confidence: 99%

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A lightweight trust management algorithm based on subjective logic for interconnected cloud computing environments

et al. 2018

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The interconnected cloud computing paradigm is gaining considerable attention as a fundamental emerging model of cloud computing. It allows a wide range of interactions and collaborations across multiple service providers. Despite the potential advantages of interconnected clouds, establishing trust among participating parties is a challenging issue. In this paper, we introduce a lightweight trust management algorithm based on subjective logic (InterTrust) to promote trust in interconnected clouds. The experimental results demonstrate that InterTrust is capable of producing accurate trust information with significantly low execution time and high scalability compared to application of both the well-established trust management algorithm Trust Network Analysis with Subjective Logic (TNA-SL) and no trust algorithm.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A lightweight trust management algorithm based on subjective logic for interconnected cloud computing environments

et al. 2018

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“…Based on these parameters, a trust matrix is generated, which is then utilized to quantify the resource's direct trust value and schedule resources based on the resource's direct trust value and the form of job to be completed. Figure 1 describes the entire procedure (Goyal et al , 2012).…”

Section: Proposed Methodsmentioning

confidence: 99%

“…Almost all models that study decision-making methods aim to compare several different options to each other (Goyal et al ., 2012; Mousseau et al ., 1999). The ELECTRE TRI method assigns options to predefined classifications.…”

Section: Proposed Methodsmentioning

confidence: 99%

A new trust management framework based on the experience of users in industrial cloud computing using multi-criteria decision making

Khoruzhy

Bulyga

Voronkova

et al. 2021

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PurposeNowadays, cloud platforms are used in many fields, including e-commerce, web applications, data storage, healthcare, gaming, mobile social networks, etc. However, security and privacy are still two significant concerns in this area. The target of this paper is to present a system for trust management in industrial cloud computing using the multi-criteria decision making (MCDM) approach. MCDM techniques have been developed to accommodate a wide range of applications. As a result, hundreds of approaches have been generated with even minor variations on current approaches spawning new study fields.Design/methodology/approachCloud computing provides a fully scalable, accessible and flexible computing platform for various applications. Due to the multiple applications that cloud computing has found in numerous life features, users and providers have considered providing security in cloud communications. Due to its distributive nature, dynamic space and lack of transparency in performing cloud computing, it faces many challenges in providing security. For security improvement, trust management can play a very influential role. This paper proposes a generic analytical methodology that uses a series of assessment criteria to evaluate current trust management testing prototypes in industrial cloud computing and related fields. The authors utilize a MCDM approach in the present article. Due to the multi-dimensionality of the sustainability objective and the complexities of socio-economic and biophysical processes, MCDM approaches have become progressively common in decision-making for sustainable energy.FindingsThe results of comparing and evaluating the performance of this model show its ability to manage trust and the ability to adapt to changes in the behavior of service providers quickly. Using a simulation, all results are confirmed. The results of simulations and evaluation of the present paper indicate that the proposed model provides a more accurate evaluation of the credibility of cloud service providers than other models.Practical implicationsThe number of cloud services and customers is vast and extremely competitive in cloud environments, where novel cloud services and customers can join at any time, while others can withdraw whenever they want. Because of cloud services' highly dynamic and dispersed design, trust management mechanisms must be highly flexible to obtain feedback and update trust outcomes as quickly as possible. The model presented in this article tries to improve users' trust in the cloud industry.Originality/valueUsing a method (MCDM) to find the best trust management solution based on user experience in industrial cloud computing is the novelty of this paper.

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“…It also maintains a registry of the trust values of the different CPs. Goyal et al claim their trust model to be suitable for IaaS schemes. Chandrasekar et al proposed to make use of a Markov chain model, which can dynamically calculate trust values based on QoS that is monitored over time.…”

Section: Related Workmentioning

confidence: 99%

QoS and trust‐aware coalition formation game in data‐intensive cloud federations

Hassan

Abdullah-Al-Wadud

Almogren

et al. 2015

Concurrency and Computation

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This paper addresses the problem of efficient federation formation by the cloud providers (CPs) with an aim to fulfill the dynamic resource demands of users for supporting data-intensive workloads. Existing works only focus on forming federations based on the highest profit gained by each of the CPs in a federation. Therefore, these approaches often suffer from the risk of selecting unreliable CPs in the federation resulting in additional penalty cost and loss of CPs's reputation due to service level agreement violation between the users and the federation. In contrast, we argue that a trust model is necessary to find the most promising cloud collaborators. Accordingly, we propose a novel cloud federation formation mechanism by utilizing a trust-based cooperative game theory, which enables the CPs to dynamically form a federation based on profit maximization and penalty cost minimization as a result of selecting the trustworthy CPs. Simulation results show that the cloud federation formed by the proposed mechanism is stable, satisfies the fairness property, and yields higher profit for the participating CPs in the long run without incurring penalty cost as compared with the state-of-the-art approaches.

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QoS based trust management model for Cloud IaaS

Cited by 33 publications

References 8 publications

A lightweight trust management algorithm based on subjective logic for interconnected cloud computing environments

A lightweight trust management algorithm based on subjective logic for interconnected cloud computing environments

A new trust management framework based on the experience of users in industrial cloud computing using multi-criteria decision making

QoS and trust‐aware coalition formation game in data‐intensive cloud federations

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