Uncertainty-aware workflow migration among edge nodes based on blockchain
暂无分享,去创建一个
[1] Hong-Ning Dai,et al. Blockchain-based data privacy management with Nudge theory in open banking , 2020, Future Gener. Comput. Syst..
[2] Razak Seidu,et al. Smart data driven quality prediction for urban water source management , 2020, Future Gener. Comput. Syst..
[3] Xuyun Zhang,et al. BeCome: Blockchain-Enabled Computation Offloading for IoT in Mobile Edge Computing , 2020, IEEE Transactions on Industrial Informatics.
[4] Xihua Liu,et al. Energy-Efficient Virtual Machine Scheduling across Cloudlets in Wireless Metropolitan Area Networks , 2020, Mob. Networks Appl..
[5] Hao Wang,et al. LoC - A new financial loan management system based on smart contracts , 2019, Future Gener. Comput. Syst..
[6] Xuyun Zhang,et al. A blockchain‐based computation offloading method for edge computing in 5G networks , 2019, Softw. Pract. Exp..
[7] Xuyun Zhang,et al. An edge computing-enabled computation offloading method with privacy preservation for internet of connected vehicles , 2019, Future Gener. Comput. Syst..
[8] Hong-Ning Dai,et al. A Rhombic Dodecahedron Topology for Human-Centric Banking Big Data , 2019, IEEE Transactions on Computational Social Systems.
[9] Xuyun Zhang,et al. A computation offloading method over big data for IoT-enabled cloud-edge computing , 2019, Future Gener. Comput. Syst..
[10] Xuyun Zhang,et al. A QoS-aware virtual machine scheduling method for energy conservation in cloud-based cyber-physical systems , 2019, World Wide Web.
[11] Kazuyuki Shudo,et al. Simulating a Blockchain Network with SimBlock , 2019, 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC).
[12] Qiming Zou,et al. Research on Cost-Driven Services Composition in an Uncertain Environment , 2019 .
[13] Deyu Wang,et al. Cognitive-inspired class-statistic matching with triple-constrain for camera free 3D object retrieval , 2019, Future Gener. Comput. Syst..
[14] Tao Huang,et al. An energy-aware computation offloading method for smart edge computing in wireless metropolitan area networks , 2019, J. Netw. Comput. Appl..
[15] Xuyun Zhang,et al. Finding All You Need: Web APIs Recommendation in Web of Things Through Keywords Search , 2019, IEEE Transactions on Computational Social Systems.
[16] Qiang He,et al. Time-aware distributed service recommendation with privacy-preservation , 2019, Inf. Sci..
[17] Jong-ho Noh,et al. A Study on smart city security policy based on blockchain in 5G Age , 2019, 2019 International Conference on Platform Technology and Service (PlatCon).
[18] Shuai Wang,et al. Blockchain-Enabled Smart Contracts: Architecture, Applications, and Future Trends , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[19] Kim-Kwang Raymond Choo,et al. Multi-dimensional data indexing and range query processing via Voronoi diagram for internet of things , 2019, Future Gener. Comput. Syst..
[20] Qiang He,et al. An IoT-Oriented data placement method with privacy preservation in cloud environment , 2018, J. Netw. Comput. Appl..
[21] Zhen Yang,et al. Efficient Secure Data Provenance Scheme in Multimedia Outsourcing and Sharing , 2018 .
[22] Xuejie Zhang,et al. Machine Learning Based Resource Allocation of Cloud Computing in Auction , 2018 .
[23] Lilan Liu,et al. Automated Quantitative Verification for Service-Based System Design: A Visualization Transform Tool Perspective , 2018, Int. J. Softw. Eng. Knowl. Eng..
[24] Bo Zhang,et al. A High Performance Blockchain Platform for Intelligent Devices , 2018, 2018 1st IEEE International Conference on Hot Information-Centric Networking (HotICN).
[25] Xiaochun Cheng,et al. Research on trust model in container-based cloud service , 2018 .
[26] Hua Xu,et al. Objective Reduction in Many-Objective Optimization: Evolutionary Multiobjective Approaches and Comprehensive Analysis , 2018, IEEE Transactions on Evolutionary Computation.
[27] Wolfgang Banzhaf,et al. ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming , 2017, IEEE Transactions on Software Engineering.
[28] Xuyun Zhang,et al. A balanced virtual machine scheduling method for energy-performance trade-offs in cyber-physical cloud systems , 2017, Future Gener. Comput. Syst..
[29] Thiago Augusto Lopes Genez,et al. A Robust Scheduler for Workflow Ensembles under Uncertainties of Available Bandwidth , 2017, 2017 IEEE 10th International Conference on Cloud Computing (CLOUD).
[30] Yueshen Xu,et al. Network Location-Aware Service Recommendation with Random Walk in Cyber-Physical Systems , 2017, Sensors.
[31] Yueshen Xu,et al. Collaborative QoS Prediction for Mobile Service with Data Filtering and SlopeOne Model , 2017, Mob. Inf. Syst..
[32] Radu Prodan,et al. Handling the Uncertainty in Resource Performance for Executing Workflow Applications in Clouds , 2016, 2016 IEEE/ACM 9th International Conference on Utility and Cloud Computing (UCC).
[33] Ei Ei Mon,et al. Clustering Based on Task Dependency for Data-Intensive Workflow Scheduling Optimization , 2016, 2016 9th Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS).
[34] Yuyu Yin,et al. QoS Prediction for Web Service Recommendation with Network Location-Aware Neighbor Selection , 2016, Int. J. Softw. Eng. Knowl. Eng..
[35] Xiaomin Zhu,et al. Uncertainty-Aware Real-Time Workflow Scheduling in the Cloud , 2016, 2016 IEEE 9th International Conference on Cloud Computing (CLOUD).
[36] Song Wang,et al. An Uncertainty-Aware Evolutionary Scheduling Method for Cloud Service Provisioning , 2016, 2016 IEEE International Conference on Web Services (ICWS).
[37] Younsun Ahn,et al. VM Auto-Scaling for Workflows in Hybrid Cloud Computing , 2014, 2014 International Conference on Cloud and Autonomic Computing.
[38] Yun Yang,et al. Robust Scheduling of Scientific Workflows with Deadline and Budget Constraints in Clouds , 2014, 2014 IEEE 28th International Conference on Advanced Information Networking and Applications.
[39] Sarbjeet Singh,et al. HEFT based workflow scheduling algorithm for cost optimization within deadline in hybrid clouds , 2013, 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT).
[40] Shiyong Lu,et al. Scheduling Scientific Workflows Elastically for Cloud Computing , 2011, 2011 IEEE 4th International Conference on Cloud Computing.
[41] Xiao Liu,et al. A Revised Discrete Particle Swarm Optimization for Cloud Workflow Scheduling , 2010, 2010 International Conference on Computational Intelligence and Security.
[42] Rajkumar Buyya,et al. A Dynamic Critical Path Algorithm for Scheduling Scientific Workflow Applications on Global Grids , 2007, Third IEEE International Conference on e-Science and Grid Computing (e-Science 2007).
[43] Kwang-Hoon Kim,et al. Workflow dependency analysis and its implications on distributed workflow systems , 2003, 17th International Conference on Advanced Information Networking and Applications, 2003. AINA 2003..
[44] Honghao Gao,et al. Applying Probabilistic Model Checking to Path Planning in an Intelligent Transportation System Using Mobility Trajectories and Their Statistical Data , 2019, Intelligent Automation and Soft Computing.
[45] Tong Li,et al. Development of Private Processes: A Refinement Approach , 2019, IEEE Access.