Smart Cloud Storage Service Selection Based on Fuzzy Logic, Theory of Evidence and Game Theory

Esposito, Christian; Ficco, Massimo; Palmieri, Francesco; Castiglione, Aniello

doi:10.1109/tc.2015.2389952

Cited by 153 publications

(79 citation statements)

References 35 publications

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“…For example, some approaches only allow users to make selection from a predefined list of atomic services, which does not address complex situations where a user's requirements extend beyond what atomic services can provide (e.g. Esposito et al, 2015). Additionally, some other methods lack the flexibility to accommodate subjective QoS inputs, and demand that a user specifies requirements in exact terms, e.g.…”

Section: Towards a Fuzzy-oriented Framework For Service Selection In mentioning

confidence: 99%

“…However, some existing approaches that have considered subjectivity in user requirements elicit either QoS preferences or QoS aspirations alone from the user but rarely both (e.g. Esposito et al, 2015;Yu and Zhang, 2014). Still, some others (e.g.…”

Section: Towards a Fuzzy-oriented Framework For Service Selection In mentioning

confidence: 99%

“…Still, some others (e.g. Esposito et al, 2015;Mirmotalebi et al, 2012;Qu and Buyya, 2014;Rehman et al, 2011) require users to assign priority weights to QoS attributes, with the downside of being less accurate compared to pairwise comparison of the relative importance of QoS attributes (Millet, 1997).…”

Section: Towards a Fuzzy-oriented Framework For Service Selection In mentioning

confidence: 99%

“…Esposito et al, 2015;Yu and Zhang, 2014;Qu and Buyya, 2014;Wittern et al, 2012) present search results in a textual list or table format, that do not make obvious the trade-off among search results, which makes it more cognitively demanding for users to make decisions based on search results (Beets and Wesson, 2011). Ultimately, these identified limitations will hamper user experience in the cloud service e-marketplace.…”

Section: Towards a Fuzzy-oriented Framework For Service Selection In mentioning

confidence: 99%

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Towards a Fuzzy-oriented Framework for Service Selection in Cloud e-Marketplaces

Ezenwoke

Daramola

Adigun

2017

Proceedings of the 7th International Conference on Cloud Computing and Services Science

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Abstract:The growing popularity of cloud services requires service selection platforms that offer enhanced user experience in terms of handling complex user requirements, elicitation of quality of service (QoS) requirements, and presentation of search results to aid decision making. So far, none of the existing cloud service selection approaches has provided a framework that wholly possesses these attributes. In this paper, we proposed a fuzzy-oriented framework that could facilitate enhanced user experience in cloud emarketplaces through formal composition of atomic services to satisfy complex user requirements, elicitation and processing of subjective user QoS requirements, and presentation of search results in a visually intuitive way that aids users' decision making. To do this, an integration of key concepts such as constrained-based reasoning on feature models, fuzzy pairwise comparison of QoS attributes, fuzzy decision making, and information visualization have been used. The applicability of the framework is illustrated with an example of Customer Relationship Management as a Service.

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Section: Towards a Fuzzy-oriented Framework For Service Selection In mentioning

confidence: 99%

Section: Towards a Fuzzy-oriented Framework For Service Selection In mentioning

confidence: 99%

Section: Towards a Fuzzy-oriented Framework For Service Selection In mentioning

confidence: 99%

Section: Towards a Fuzzy-oriented Framework For Service Selection In mentioning

confidence: 99%

See 2 more Smart Citations

Towards a Fuzzy-oriented Framework for Service Selection in Cloud e-Marketplaces

Ezenwoke

Daramola

Adigun

2017

Proceedings of the 7th International Conference on Cloud Computing and Services Science

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“…To solve the free-rider phenomenon in the P2P file-sharing applications, Wu et al [24] propose a Novel Incentive Mechanism (NIM) based on social network and game theory, which can restrain the number of free riders efficiently and encourage the nodes to contribute resources as much as possible. Esposito et al [25] use the game theory to promote truth-telling ones among service providers in the smart cloud storage service selection. R. azzouzi et al [26] propose a general framework for competitive forwarding in DTNs under the two hops routing, which focus on the probability to deliver a message, and a utility function is introduced as the difference between a reward unit and the energy cost.…”

Section: Related Workmentioning

confidence: 99%

A routing defense mechanism using evolutionary game theory for Delay Tolerant Networks

Guo

Wang

Cheng

et al. 2016

Applied Soft Computing

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Abstract-Delay Tolerant Networks (DTNs) often suffer from intermittent disruption due to factors such as mobility and energy. Though lots of routing algorithms in DTNs have been proposed in the last few years, the routing security problems have not attracted enough attention. DTNs are still facing the threats from different kinds of routing attacks. In this paper, a general purpose defense mechanism is proposed against various routing attacks on DTNs. The defense mechanism is based on the routing path information acquired from the forwarded messages and the acknowledgment (ACK), and it is suitable for different routing schemes. Evolutionary game theory is applied with the defense mechanism to analyze and facilitate the strategy changes of the nodes in the networks. Simulation results show that the proposed evolutionary game theory based defense scheme can achieve high average delivery ratio, low network overhead and low average transmission delay in various routing attack scenarios. By introducing the game theory, the networks can avoid being attacked and provide normal transmission service. The network can reach evolutionary strategy stable (ESS) under special conditions after evolution. The initial parameters will affect the convergence speed and the final ESS, but the initial ratio of the nodes choosing different strategies can only affect the game process.

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A game theoretic method to model and analyze attack‐defense strategy of resource service in cloud application

Fan

Chen

2017

Concurrency and Computation

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Cloud computing has attracted much attention recently in both industry field and academic research area. More and more Internet applications are moving to the cloud environment. However, it is difficult to construct perfectly secure mechanisms facing up with complex and various attacks in cloud computing, the efficient attack-defense strategy is highly demanded. In this paper, a stochastic game model is proposed based on combining stochastic Petri nets with game theory, which is used to describe the attack-defense behaviors in cloud computing. The physical machine, attack-defense behavior, and their attributes are also modeled by stochastic game model thus forming the attack-defense game model of cloud computing. On this basis, the Nash equilibrium of attack-defense process in physical machine is computed to get the optimal defense strategy. The related theories of Petri nets and the reachable states of attack-defense game model are used to formally verify the correctness and effectiveness of the proposed method. The enforcement algorithm is proposed to make cloud computing dynamically evaluate and select the defense strategy to against attack behavior as quickly as possible. Both case study and simulation results show that the proposed method can adapt quickly to the changes in cloud application thus improving the security of cloud computing.

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Smart Cloud Storage Service Selection Based on Fuzzy Logic, Theory of Evidence and Game Theory

Cited by 153 publications

References 35 publications

Towards a Fuzzy-oriented Framework for Service Selection in Cloud e-Marketplaces

Towards a Fuzzy-oriented Framework for Service Selection in Cloud e-Marketplaces

A routing defense mechanism using evolutionary game theory for Delay Tolerant Networks

A game theoretic method to model and analyze attack‐defense strategy of resource service in cloud application

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