scholarly journals The Efficient Resource Scheduling Strategy in Cloud: A Metaheuristic Approach

2021 ◽  
Vol 1099 (1) ◽  
pp. 012027
Author(s):  
Shilpa Maheshwari ◽  
Savita Shiwani ◽  
Surendra Singh Choudhary
Keyword(s):  
Resource Scheduling ◽  
Scheduling Strategy ◽  
Efficient Resource

Research on Scheduling Model in Dynamic Environment Based on Computational Economy

2015 ◽  
Vol 713-715 ◽  
pp. 1868-1871 ◽  
Author(s):  
Li Jun Duan
Keyword(s):  
Dynamic Behavior ◽  
Dynamic Environment ◽  
Resource Scheduling ◽  
Evaluation Function ◽  
Scheduling Strategy ◽  
Model Based ◽  
Scheduling Model ◽  
Two Factors ◽  
Efficient Resource

Efficient resource scheduling in dynamic environment reveals several challenges due to its high heterogeneity, dynamic behavior, and space shared utilization. In order to address this issue, a scheduling model based on computational economy was proposed in this paper. Firstly, the problem of resource scheduling was analyzed, and the essence of resource scheduling was concluded. Secondly, a scheduling strategy based on computational economy was presented. It applied the principles of economics and broker technology in its resource scheduling process. The strategy of the model synthetically considered two factors: execution cost and total complete time. An evaluation function driven by user’s needs was also built based on the two factors. Finally, the scheduling strategy was simulated. The result shows that the model can adjust the relation between price and time based on computational economy efficiently. It indicates that the model is an effective approach for resource scheduling.

scholarly journals An Efficient Resource Scheduling Strategy for V2X Microservice Deployment in Edge Servers

2020 ◽  
Vol 12 (10) ◽  
pp. 172
Author(s):  
Yanjun Shi ◽  
Yijia Guo ◽  
Lingling Lv ◽  
Keshuai Zhang
Keyword(s):  
Resource Utilization ◽  
Resource Scheduling ◽  
Mutation Process ◽  
Migration Strategy ◽  
Scheduling Strategy ◽  
Efficient Resource ◽  
Fast Development ◽  
Objective Model ◽  
Crossover And Mutation

The fast development of connected vehicles with support for various V2X (vehicle-to-everything) applications carries high demand for quality of edge services, which concerns microservice deployment and edge computing. We herein propose an efficient resource scheduling strategy to containerize microservice deployment for better performance. Firstly, we quantify three crucial factors (resource utilization, resource utilization balancing, and microservice dependencies) in resource scheduling. Then, we propose a multi-objective model to achieve equilibrium in these factors and a multiple fitness genetic algorithm (MFGA) for the balance between resource utilization, resource utilization balancing, and calling distance, where a container dynamic migration strategy in the crossover and mutation process of the algorithm is provided. The simulated results from Container-CloudSim showed the effectiveness of our MFGA.

scholarly journals Re-Stream: Real-time and energy-efficient resource scheduling in big data stream computing environments

2015 ◽  
Vol 319 ◽  
pp. 92-112 ◽  
Author(s):  
Dawei Sun ◽  
Guangyan Zhang ◽  
Songlin Yang ◽  
Weimin Zheng ◽  
Samee U. Khan ◽  
...  
Keyword(s):  
Big Data ◽  
Real Time ◽  
Energy Efficient ◽  
Data Stream ◽  
Resource Scheduling ◽  
Stream Computing ◽  
Efficient Resource ◽  
Computing Environments ◽  
Time And Energy
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