A Key-Value Store Based Data Center Resource Scheduling System

In the cloud computing federation, the method of cloud computing federation resource scheduling has been introduced to allocate the users requested tasks reasonably to the providers. In the present, single cloud providers method and system of resource scheduling dont apply to the cloud federation environment. Therefore, the solution to the problem of resource scheduling in cloud federation cross data center has become a key technology. The system, mainly about the resource scheduling algorithms across data center, presents the framework and major function of the cloud federation environment cross the datacenter. Furthermore, through Cloudsim, a Web server based system platform was built. Finally, the system proved that it can meet the complicated large-scale demand of users as well as increase the efficiency and profit of resource scheduling among the providers in cloud federation.

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Switches for HIRE: resource scheduling for data center in-network computing

Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems ◽

10.1145/3445814.3446760 ◽

2021 ◽

Author(s):

Marcel Blöcher ◽

Lin Wang ◽

Patrick Eugster ◽

Max Schmidt

Keyword(s):

Data Center ◽

Resource Scheduling ◽

Network Computing

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Machine Learning Assisted Optical Network Resource Scheduling in Data Center Networks

Optical Network Design and Modeling - Lecture Notes in Computer Science ◽

10.1007/978-3-030-38085-4_18 ◽

2020 ◽

pp. 204-210

Author(s):

Hongxiang Guo ◽

Cen Wang ◽

Yinan Tang ◽

Yong Zhu ◽

Jian Wu ◽

...

Keyword(s):

Machine Learning ◽

Data Center ◽

Optical Network ◽

Resource Scheduling ◽

Data Center Networks ◽

Network Resource

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Design and Performance Modeling of A YARN-based GPU Resource Scheduling System

2019 IEEE 5th International Conference on Computer and Communications (ICCC) ◽

10.1109/iccc47050.2019.9064049 ◽

2019 ◽

Author(s):

Jianbo Huang ◽

Wenli Zhou ◽

Ruoning Song ◽

Fang Liu ◽

Siye Wang ◽

...

Keyword(s):

Performance Modeling ◽

Resource Scheduling ◽

Scheduling System ◽

And Performance

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Research of Digital Resource Integration Based on DC Metadata Storage

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.631-632.75 ◽

2014 ◽

Vol 631-632 ◽

pp. 75-78

Author(s):

Liang Du ◽

Tao Liu

Keyword(s):

Resource Scheduling ◽

Research System ◽

Resource Integration ◽

Construction Process ◽

Integration System ◽

Digital Resources ◽

Scheduling System ◽

Digital Resource ◽

Library Development ◽

Resources Integration

Digital resource integration is the inevitable trend of library development at present. The author introduces international and domestic representative digital resources integration systems and proposes the goal of digital resource integration. This paper describes the construction process of digital resource integration system based on Metadata storage, including the construction of DC metadata storage, united research system and resource scheduling system.

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Multi-Tiered On-Demand Resource Scheduling for VM-Based Data Center

2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid ◽

10.1109/ccgrid.2009.11 ◽

2009 ◽

Cited By ~ 85

Author(s):

Ying Song ◽

Hui Wang ◽

Yaqiong Li ◽

Binquan Feng ◽

Yuzhong Sun

Keyword(s):

Data Center ◽

Resource Scheduling ◽

On Demand

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Military Training Resource Scheduling: System Model, Optimal and Heuristic Decision Processes

Military Operations Research ◽

10.5711/morj.2.1.53 ◽

1996 ◽

Vol 2 (1) ◽

pp. 53-69 ◽

Cited By ~ 2

Author(s):

Michael L. McGinnis ◽

Emmanuel Fernndez-Gaucherand ◽

Pitu B. Mirchandani

Keyword(s):

Military Training ◽

Resource Scheduling ◽

Decision Processes ◽

System Model ◽

Scheduling System

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Smart-DRS: A Strategy of Dynamic Resource Scheduling in Cloud Data Center

2012 IEEE International Conference on Cluster Computing Workshops ◽

10.1109/clusterw.2012.14 ◽

2012 ◽

Cited By ~ 7

Author(s):

Lei Xu ◽

Wenzhi Chen ◽

Zonghui Wang ◽

Shuangquan Yang

Keyword(s):

Data Center ◽

Resource Scheduling ◽

Cloud Data Center ◽

Cloud Data ◽

Dynamic Resource

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Massive Speech Recognition Resource Scheduling System based on Grid Computing

International Journal of Circuits, Systems and Signal Processing ◽

10.46300/9106.2022.16.22 ◽

2022 ◽

Vol 16 ◽

pp. 181-190

Author(s):

Shanshan Yang ◽

Jinjin Chao

Keyword(s):

Speech Recognition ◽

Grid Computing ◽

Large Scale ◽

Resource Scheduling ◽

Information Resources ◽

Experimental Results ◽

Scheduling System ◽

Exchange Of Information ◽

Information Scheduling ◽

Speed And Accuracy

Nowadays, there are too many large-scale speech recognition resources, which makes it difficult to ensure the scheduling speed and accuracy. In order to improve the effect of large-scale speech recognition resource scheduling, a large-scale speech recognition resource scheduling system based on grid computing is designed in this paper. In the hardware part, microprocessor, Ethernet control chip, controller and acquisition card are designed. In the software part of the system, it mainly carries out the retrieval and exchange of information resources, so as to realize the information scheduling of the same type of large-scale speech recognition resources. The experimental results show that the information scheduling time of the designed system is short, up to 2.4min, and the scheduling accuracy is high, up to 90%, in order to provide some help to effectively improve the speed and accuracy of information scheduling.

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