Proceedings Article10.1109/IIAI-AAI.2014.92
Resource Scheduling Algorithm in Embedded Cloud Computing and Application
Pengju He,Yan Liang,Xingxing Chou +2 more
- 01 Aug 2014
- pp 425-429
2
TL;DR: The results show that this system whose resource scheduling based on multi-objective particle swarm optimization algorithm can meet the real-time requirement of the practical application, and has good practicability.
read more
Abstract: In order to make the embedded cloud computing resources to achieve efficient and real-time task scheduling, this paper puts forward a method of resource scheduling that task completion time and resource load balancing degree as the objective function and using multi-objective particle swarm optimization algorithm to optimize the task scheduling. Simulation results verify the effectiveness of the algorithm, and Applied to a embedded cloud control and measurement system in one oilfield, the results show that this system whose resource scheduling based on multi-objective particle swarm optimization algorithm can meet the real-time requirement of the practical application, and has good practicability.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Survey of task scheduling in cloud computing based on particle swarm optimization
Entisar S. Alkayal,Nicholas R. Jennings,Maysoon F. Abulkhair +2 more
- 01 Nov 2017
TL;DR: This paper analyzes the work to improve cloud-computing task scheduling using PSO algorithms in terms of its objectives and orientation, and identifies the key areas that require further research.
References
Real-Time Tasks Oriented Energy-Aware Scheduling in Virtualized Clouds
Xiaomin Zhu,Laurence T. Yang,Huangke Chen,Ji Wang,Shu Yin,Xiaocheng Liu +5 more
- 21 Apr 2014
TL;DR: This paper proposes a novel rolling-horizon scheduling architecture for real-time task scheduling in virtualized clouds, and develops a novel energy-aware scheduling algorithm named EARH forreal-time, aperiodic, independent tasks.
260
Cloud based intelligent system for delivering health care as a service
Pankaj Deep Kaur,Inderveer Chana +1 more
TL;DR: This paper designs a Cloud Based Intelligent Health Care Service (CBIHCS) that performs real time monitoring of user health data for diagnosis of chronic illness such as diabetes and proposes infrastructure level mechanisms to provide dynamic resource elasticity for CBIHCS.
172
An Improved PSO Algorithm and Its Application to UWB Antenna Design
TL;DR: An improved particle swarm optimization (PSO) algorithm with a neighborhood-redispatch (NR) technique is presented to design an ultrawideband (UWB) antenna and the results show that it is better than the conventional PSO algorithm for multimodal and unimodal functions.
114
A resource scheduling model for cloud computing data centers
Mohamed Abu Sharkh,Abdelkader Ouda,Abdallah Shami +2 more
- 01 Jul 2013
TL;DR: A new model to tackle the resource allocation problem for a group of cloud user requests, implemented with the objective of minimizing the average tardiness of connection requests is proposed.
37
Multi-objective design of energy storage in distribution systems based on modified particle swarm optimization
Yixing Xu,Chanan Singh +1 more
- 22 Jul 2012
TL;DR: In this article, a modified multi-objective particle swarm optimization approach is proposed to solve the energy storage design problem in distribution systems and a Pareto front is provided by the proposed approach for decision makers to determine the desired tradeoff between multiple objectives.
21