Energy-aware task scheduling in mobile cloud computing

[1]  Amjad Mahmood,et al.  Hard Real-Time Task Scheduling in Cloud Computing Using an Adaptive Genetic Algorithm , 2017, Comput..

[2]  Jing Wang,et al.  Towards energy-efficient task scheduling on smartphones in mobile crowd sensing systems , 2017, Comput. Networks.

[3]  Zhaohui Wu,et al.  Constraints-Driven Service Composition in Mobile Cloud Computing , 2016, 2016 IEEE International Conference on Web Services (ICWS).

[4]  Abdul Razaque,et al.  Task scheduling in Cloud computing , 2016, 2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT).

[5]  Yuanyuan Yang,et al.  Energy-efficient dynamic offloading and resource scheduling in mobile cloud computing , 2016, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications.

[6]  Massoud Pedram,et al.  Task Scheduling with Dynamic Voltage and Frequency Scaling for Energy Minimization in the Mobile Cloud Computing Environment , 2015, IEEE Transactions on Services Computing.

[7]  Slawomir Bak,et al.  Cost Optimization of Real-Time Cloud Applications Using Developmental Genetic Programming , 2014, 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing.

[8]  Jyh-Horng Chou,et al.  Optimized task scheduling and resource allocation on cloud computing environment using improved differential evolution algorithm , 2013, Comput. Oper. Res..

[9]  Liang Chen,et al.  RAS: A Task Scheduling Algorithm Based on Resource Attribute Selection in a Task Scheduling Framework , 2013, IDCS.

[10]  Weifa Liang,et al.  Throughput maximization for online request admissions in mobile cloudlets , 2013, 38th Annual IEEE Conference on Local Computer Networks.

[11]  Albert Y. Zomaya,et al.  Profit-driven scheduling for cloud services with data access awareness , 2012, J. Parallel Distributed Comput..

[12]  Serge Fdida,et al.  Research challenges towards the Future Internet , 2011, Comput. Commun..

[13]  Rajkumar Buyya,et al.  Power‐aware provisioning of virtual machines for real‐time Cloud services , 2011, Concurr. Comput. Pract. Exp..

[14]  Gang Quan,et al.  On-line scheduling of real-time services with profit and penalty , 2011, SAC.

[15]  Gang Quan,et al.  On-line preemptive scheduling of real-time services with profit and penalty , 2011, 2011 Proceedings of IEEE Southeastcon.

[16]  Yung-Hsiang Lu,et al.  Cloud Computing for Mobile Users: Can Offloading Computation Save Energy? , 2010, Computer.

[17]  Paramvir Bahl,et al.  The Case for VM-Based Cloudlets in Mobile Computing , 2009, IEEE Pervasive Computing.

[18]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[19]  Xianglin Wei,et al.  Energy Efficient and Deadline Satisfied Task Scheduling in Mobile Cloud Computing , 2018, 2018 IEEE International Conference on Big Data and Smart Computing (BigComp).

[20]  A. I. Awad,et al.  Enhanced Particle Swarm Optimization for Task Scheduling in Cloud Computing Environments , 2015 .

[21]  Prasanta K. Jana,et al.  Allocation-aware Task Scheduling for Heterogeneous Multi-cloud Systems☆ , 2015 .

[22]  Xiaomin Zhu,et al.  Towards energy-efficient scheduling for real-time tasks under uncertain cloud computing environment , 2015, J. Syst. Softw..

[23]  Eui-nam Huh,et al.  A New Approach for Task Scheduling Optimization in Mobile Cloud Computing , 2014, FCC.

[24]  Bing Zeng,et al.  A Task Scheduling Algorithm based on QoS-Driven in Cloud Computing , 2013, ITQM.

[25]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[26]  David S. Johnson,et al.  Computers and Intractability: A Guide to the Theory of NP-Completeness , 1978 .