A Novel QoS Prediction Approach for Cloud Services Using Bayesian Network Model

Li, Wenrui; Zhang, Pengcheng; Leung, Hareton; Ji, Shunhui

doi:10.1109/access.2017.2779045

Cited by 13 publications

(8 citation statements)

References 15 publications

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“…We overviewed various trust models in various applications like Web Services [20,21], Cloud Service [22][23][24], peer-to-peer (P2P) systems [25,26], Internet of Things [27], Wireless Sensor Networks [28,29] and heterogeneous environment [30] and MANET [31].…”

Section: Related Workmentioning

confidence: 99%

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Improved QoS and avoidance of black hole attacks in MANET using trust detection framework

Manoranjini

Chandrasekar²,

Jothi³

2019

Automatika

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In recent times, secured routing is a major research in MANETs. The behaviour of malicious nodes in this network increases the risk of threats and induces abnormal operations in MANETs. This affects the security of data transmitted between the nodes in the network. Hence, an effective technique is needed to prevent the abnormal nodes after the process of detection. In this paper, we propose an improved Trust Detection Algorithm to increase the probability of detection and prevention of Black Hole nodes in MANETs. The proposed framework observes the behaviour of each node using various trust metrics that includes the relationship between the sensor nodes, social and service attribute trust and QoS metric trusts. The behaviour of sensor nodes is found through the communication and mobility behaviour of each node. This method avoids the black hole nodes in MANETs, when the routing is carried out with Zone Routing Protocol (ZRP). Hence, the privacy of data is retained using the proposed method. The proposed method is tested in terms of different combinations of with and without trusts. The result shows that the proposed method is effective through various QoS metrics like overall throughput, packet loss, energy consumption, trust level, false acceptance rate and missed detection rate.

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Section: Related Workmentioning

confidence: 99%

“…The authors in [23] used multiple QoS attributes from the field of services computing to predict the trustworthiness. Similar model of [23] in cloud services is seen in [24] that uses various other QoS metrics Response time, availability, number of processes and CPU and physical memory usage.…”

Section: Related Workmentioning

confidence: 99%

Improved QoS and avoidance of black hole attacks in MANET using trust detection framework

Manoranjini

Chandrasekar²,

Jothi³

2019

Automatika

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“…Among them, the DAG qualitatively represents the independent relationship between variables, and the CPT quantitatively represents the degree of dependence between variables. Due to their powerful abilities in representing and reasoning, it is widely used in the field of biomedicine [2], prediction [3], classification [4], causal inference [5], etc.…”

Section: Introductionmentioning

confidence: 99%

An Improved Particle Swarm Optimization Algorithm for Bayesian Network Structure Learning via Local Information Constraint

et al. 2021

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At present, in the application of Bayesian network (BN) structure learning algorithm for structure learning, the network scale increases with the increase of number of nodes, resulting in a large scale of structure search space, which is difficult to calculate, and the existing learning algorithms are inefficient, making BN structure learning difficulty increase. To solve this problem, a BN structure optimization method based on local information is proposed. Firstly, it proposes to construct an initial network framework with local information and uses the Max-Min Parents and Children (MMPC) algorithm to construct an undirected network framework to reduce the search space. Then the particle swarm optimization (PSO) algorithm is used to strengthen the algorithm's optimization ability by constructing a new position and velocity update rule and improve the efficiency of the algorithm. Experimental results show that under the same sample data set, the algorithm can obtain a more accurate BN structure while converging quickly, which verifies the correctness and effectiveness of the algorithm.

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“…To select the optimal services from multitudinous services, the quality of service (QoS) is generally used as an important criterion [9], [10]. As a nonfunctional requirement, QoS is an important selection criterion to select the candidate cloud services [11], [12]. The QoS properties include the response time, invocation failure rate, etc.…”

Section: Introductionmentioning

confidence: 99%

MeURep: A novel user reputation calculation approach in personalized cloud services

Cai

Zhu

et al. 2019

PLoS ONE

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User reliability is notably crucial for personalized cloud services. In cloud computing environments, large amounts of cloud services are provided for users. With the exponential increase in number of cloud services, it is difficult for users to select the appropriate services from equivalent or similar candidate services. The quality-of-service (QoS) has become an important criterion for selection, and the users can conduct personalized selection according to the observed QoS data of other users; however, it is difficult to ensure that the users are reliable. Actually, unreliable users may provide unreliable QoS data and have negative effects on the personalized cloud service selection. Therefore, how to determine reliable QoS data for personalized cloud service selection remains a significant problem. To measure the reliability for each user, we present a cloud service selection framework based on user reputation and propose a new user reputation calculation approach, which is named MeURep and includes L1-MeURep and L2-MeURep. Experiments are conducted, and the results confirm that MeURep has higher efficiency than previously proposed approaches.

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A Novel QoS Prediction Approach for Cloud Services Using Bayesian Network Model

Cited by 13 publications

References 15 publications

Improved QoS and avoidance of black hole attacks in MANET using trust detection framework

Improved QoS and avoidance of black hole attacks in MANET using trust detection framework

An Improved Particle Swarm Optimization Algorithm for Bayesian Network Structure Learning via Local Information Constraint

MeURep: A novel user reputation calculation approach in personalized cloud services

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