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

2009 ◽  
Author(s):  
Ying Song ◽  
Hui Wang ◽  
Yaqiong Li ◽  
Binquan Feng ◽  
Yuzhong Sun
Keyword(s):  
Data Center ◽  
Resource Scheduling ◽  
On Demand

Study on influence of operating parameters of data center air conditioning system based on the concept of on-demand cooling

2020 ◽  
Vol 160 ◽  
pp. 99-111 ◽  
Author(s):  
Zongwei Han ◽  
Haotian Wei ◽  
Xiaoqing Sun ◽  
Chenguang Bai ◽  
Da Xue ◽  
...  
Keyword(s):  
Data Center ◽  
Air Conditioning ◽  
Operating Parameters ◽  
Air Conditioning System ◽  
On Demand

NetView: Towards On-Demand Network-Wide Telemetry in the Data Center

2020 ◽  
Author(s):  
Yunsenxiao Lin ◽  
Yu Zhou ◽  
Zhengzheng Liu ◽  
Ke Liu ◽  
Yangyang Wang ◽  
...  
Keyword(s):  
Data Center ◽  
On Demand

NetView: Towards on-demand network-wide telemetry in the data center

2020 ◽  
Vol 180 ◽  
pp. 107386
Author(s):  
Yunsenxiao Lin ◽  
Yu Zhou ◽  
Zhengzheng Liu ◽  
Ke Liu ◽  
Yangyang Wang ◽  
...  
Keyword(s):  
Data Center ◽  
On Demand

Bandwidth on demand for inter-data center communication

2011 ◽  
Author(s):  
Ajay Mahimkar ◽  
Angela Chiu ◽  
Robert Doverspike ◽  
Mark D. Feuer ◽  
Peter Magill ◽  
...  
Keyword(s):  
Data Center ◽  
On Demand ◽  
Bandwidth On Demand

Resource Scheduling Techniques in Utility Computing

2016 ◽  
pp. 1159-1179
Author(s):  
Inderveer Chana ◽  
Tarandeep Kaur
Keyword(s):  
Resource Management ◽  
Load Balancing ◽  
Resource Scheduling ◽  
Utility Computing ◽  
On Demand ◽  
Geographically Dispersed ◽  
Optimal Resource ◽  
Dynamic Resource ◽  
Characteristic Features

Utility Computing offers on-demand services from a shared pool of resources and can be envisaged to be a benchmark in the IT development. The capability to provide on-demand services involves management of large number of resources that are geographically dispersed and thus poses a number of resource management and scheduling challenges in the domain of resource heterogeneity, dynamic resource locations and load balancing. Proficient resource allocations and efficient scheduling helps in achieving optimal resource utilization and hence enhances the performance of the system. This paper evaluates existing resource management systems, listing their key characteristic features and highlighting the factors that make the existing systems excel upon each other. It also discusses various resource scheduling techniques currently available and characterizes the techniques based on Quality of Service (QoS) parameters supported by them along with the classification on basis of their operating environment and further extends towards load balancing and energy efficiency support if available.

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