LP-WSC: a linear programming approach for web service composition in geographically distributed cloud environments
出版年份 2018 全文链接
标题
LP-WSC: a linear programming approach for web service composition in geographically distributed cloud environments
作者
关键词
-
出版物
JOURNAL OF SUPERCOMPUTING
Volume -, Issue -, Pages -
出版商
Springer Nature America, Inc
发表日期
2018-10-26
DOI
10.1007/s11227-018-2656-3
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Formal verification approaches and standards in the cloud computing: A comprehensive and systematic review
- (2018) Alireza Souri et al. COMPUTER STANDARDS & INTERFACES
- A learning automata-based ensemble resource usage prediction algorithm for cloud computing environment
- (2018) Ali Asghar Rahmanian et al. Future Generation Computer Systems-The International Journal of eScience
- An autonomic resource provisioning approach for service-based cloud applications: A hybrid approach
- (2018) Mostafa Ghobaei-Arani et al. Future Generation Computer Systems-The International Journal of eScience
- Nature inspired meta-heuristic algorithms for solving the service composition problem in the cloud environments
- (2018) Saied Asghari et al. INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
- A Hybrid Meta-Heuristic Approach for QoS-Aware Cloud Service Composition
- (2018) S. Bharath Bhushan et al. International Journal of Web Services Research
- An improved normalization technique for white light photoelasticity
- (2018) K. Ramesh et al. OPTICS AND LASERS IN ENGINEERING
- A new agent-based method for QoS-aware cloud service composition using particle swarm optimization algorithm
- (2018) Afshin Naseri et al. Journal of Ambient Intelligence and Humanized Computing
- Towards Efficient Service Composition Techniques in the Internet of Things
- (2018) IEEE Internet of Things Journal
- Cloud manufacturing service selection optimization and scheduling with transportation considerations: mixed-integer programming models
- (2017) Hossein Akbaripour et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Auto-scaling web applications in clouds: A cost-aware approach
- (2017) Mohammad Sadegh Aslanpour et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Comprehensive and systematic review of the service composition mechanisms in the cloud environments
- (2017) Asrin Vakili et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- An improved genetic algorithm for task scheduling in the cloud environments using the priority queues: Formal verification, simulation, and statistical testing
- (2017) Bahman Keshanchi et al. JOURNAL OF SYSTEMS AND SOFTWARE
- CSA-WSC: cuckoo search algorithm for web service composition in cloud environments
- (2017) Mostafa Ghobaei-Arani et al. SOFT COMPUTING
- An autonomic approach for resource provisioning of cloud services
- (2016) Mostafa Ghobaei-Arani et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- A hybrid approach using genetic and fruit fly optimization algorithms for QoS-aware cloud service composition
- (2016) Fateh Seghir et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Ant colony optimization applied to web service compositions in cloud computing
- (2015) Qiang Yu et al. COMPUTERS & ELECTRICAL ENGINEERING
- Imperialist competitive algorithm with PROCLUS classifier for service time optimization in cloud computing service composition
- (2015) Amin Jula et al. EXPERT SYSTEMS WITH APPLICATIONS
- Toward SLA-constrained service composition: An approach based on a fuzzy linguistic preference model and an evolutionary algorithm
- (2015) Xin Zhao et al. INFORMATION SCIENCES
- Cloud computing service composition: A systematic literature review
- (2013) Amin Jula et al. EXPERT SYSTEMS WITH APPLICATIONS
- A Metamodel for the Web Services Standards
- (2013) Balazs Simon et al. Journal of Grid Computing
- Particle Swarm Optimization with Skyline Operator for Fast Cloud-based Web Service Composition
- (2012) Shangguang Wang et al. MOBILE NETWORKS & APPLICATIONS
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