Cloud-DLS: Dynamic trusted scheduling for Cloud computing

Wang, Wei; Zeng, Guosun; Tang, Daizhong; Yao, Jing

doi:10.1016/j.eswa.2011.08.048

Cited by 96 publications

(36 citation statements)

References 12 publications

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“…Melaye et al proposed a Bayesian dynamic trust model for the computational grid [17], but they only give a theoretical model and did not imple-ment their model. Wang et al propose Cloud-dls, a trust model to make the optimal resource schedule in cloud environment using Bayesian method [18]. Sun et al proposed an entropy-based trust model for Ad-Hoc network [19].…”

Section: Bayesian Trust Estimationmentioning

confidence: 99%

A Novel Remote Attestation Platform for SOA

Mei

Ren

et al. 2013

Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation

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Abstract-Service-oriented architecture is a design paradigm for the larger-scaled heterogeneous enterprise information systems, and it is the enabling technology for remote and crossorganization e-business transaction. Trust and reputation among the cooperating parties are becoming increasingly vital in this scene, where services from different administration domains are deployed and cooperated. This paper presents a remote attestation platform for SOA. It gives out a complete solution for trust establishing in the SOA enabled IT systems with the supporting of the trusted platform module. The platform provides technique means for the trust management and remote attestation for service composition in the SOA environment.

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Section: Bayesian Trust Estimationmentioning

confidence: 99%

A Novel Remote Attestation Platform for SOA

Mei

Ren

et al. 2013

Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation

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“…A Cloud trust model proposed in [12] advises users in determining trustable cloud providers based on various trust attributes. A dynamic cloud based trusted scheduling is explained in [13] using Bayesian method. A tree structured fuzzy based trust model is developed in [14] to assess the trust value of cloud service providers.…”

Section: Previous Workmentioning

confidence: 99%

CCDEA: Consumer and Cloud – DEA Based Trust Assessment Model for the Adoption of Cloud Services

Raja

Ramaiah

2016

Cybernetics and Information Technologies

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“…The proposed model is based on virtual organization and makes use of the trust mechanism to estimate the credibility of the virtual organization. Finally, Wang, Zeng [29] have presented a Bayesian method based cognitive trust model, and a trust dynamic level scheduling algorithm named Cloud-DLS (Dynamic Level Scheduling) by integrating the existing DLS algorithm [30].…”

Section:  2012mentioning

confidence: 99%

Multi-Objective Task Scheduling in the Cloud Computing based on the Patrice Swarm Optimization

Milani¹,

Navin²

2015

IJITCS

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Abstract-Cloud computing is the latest emerging trend in distributed computing, where shared resources are provided to end-users in an on demand fashion that brings many advantages, including data ubiquity, flexibility of access, high availability of resources, and flexibility. In this type of systems many challenges are existed that the task scheduling problem is one of them. The task scheduling problem in Cloud computing is an NP-hard problem. Therefore, many heuristics have been proposed, from low level execution of tasks in multiple processors to high level execution of tasks. In this paper, we propose a new algorithm based on PSO to schedule the tasks in the Cloud. The results demonstrated that the proposed algorithm has a better operation in terms of task execution time, waiting time and missed tasks in comparison of First Come First Served (FCFS), Shortest Process Next (SPN) and Highest Response Ratio Next (HRRN).

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Cloud-DLS: Dynamic trusted scheduling for Cloud computing

Cited by 96 publications

References 12 publications

A Novel Remote Attestation Platform for SOA

A Novel Remote Attestation Platform for SOA

CCDEA: Consumer and Cloud – DEA Based Trust Assessment Model for the Adoption of Cloud Services

Multi-Objective Task Scheduling in the Cloud Computing based on the Patrice Swarm Optimization

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