Inicio  /  Information  /  Vol: 9 Par: 12 (2018)  /  Artículo
ARTÍCULO
TITULO

Task Staggering Peak Scheduling Policy for Cloud Mixed Workloads

Zhigang Hu    
Yong Tao    
Meiguang Zheng and Chenglong Chang    

Resumen

To address the issue of cloud mixed workloads scheduling which might lead to system load imbalance and efficiency degradation in cloud computing, a novel cloud task staggering peak scheduling policy based on the task types and the resource load status is proposed. First, based on different task characteristics, the task sequences submitted by the user are divided into queues of different types by the fuzzy clustering algorithm. Second, the Performance Counters (PMC) mechanism is introduced to dynamically monitor the load status of resource nodes and respectively sort the resources by the metrics of Central Processing Unit (CPU), memory, and input/output (I/O) load size, so as to reduce the candidate resources. Finally, the task sequences of specific type are scheduled for the corresponding light loaded resources, and the resources usage peak is staggered to achieve load balancing. The experimental results show that the proposed policy can balance loads and improve the system efficiency effectively and reduce the resource usage cost when the system is in the presence of mixed workloads.

 Artículos similares

       
 
Chong Jiang, Zexiong Shi and Li Pang    
The construction of offshore wind power pile foundations on artificial islands is a challenging task due to soil consolidation and additional loads that result in negative skin friction (NSF). In this study, a comprehensive pile?soil interaction model is... ver más

 
Chunmeng Jiang, Jinhua Lv, Lei Wan, Jianguo Wang, Bin He and Gongxing Wu    
The classic S-plane control method combines PD structure with fuzzy control theory, with the advantages of a simple control structure and fewer parameters to be adjusted. It has been proved as a practical method in an autonomous underwater vehicle (AUV) ... ver más

 
Jifeng Zhu, Xiaohe Pan, Zheng Peng, Mengzhuo Liu, Jingqian Guo, Tong Zhang, Yu Gou and Jun-Hong Cui    
The most significant increase of current task is in the desire for operational flexibility and agility in large-scale underwater network application scenarios in recent years. In order to address the challenging problems in Underwater Wireless Sensor Net... ver más

 
Yuancheng Li and Yongtai Qin    
In today?s business environment, reducing costs is crucial due to the variety of Internet of Things (IoT) devices and security infrastructure. However, applying security measures to complex business scenarios can lead to performance degradation, making i... ver más
Revista: Information

 
Yiming Shen, Shuntaro Ueda, Yuichiro Fujimoto, Taishi Sawabe, Masayuki Kanbara and Hirokazu Kato    
Augmented reality (AR) support systems have proven to be effective in supporting various tasks, but are not yet widely used in real-world applications due to their high development costs. Although several AR authoring tools have been proposed for content... ver más
Revista: Information