scholarly journals An integrated resource management and scheduling system for grid data streaming applications

2008 ◽  
Author(s):  
Wen Zhang ◽  
Junwei Cao ◽  
Yisheng Zhong ◽  
Lianchen Liu ◽  
Cheng Wu
Keyword(s):  
Resource Management ◽  
Data Streaming ◽  
Grid Data ◽  
Scheduling System ◽  
Integrated Resource Management ◽  
Streaming Applications

Fuzzy Allocation of Fine-Grained Compute Resources for Grid Data Streaming Applications

2012 ◽  
pp. 283-294
Author(s):  
Wen Zhang ◽  
Junwei Cao ◽  
Yisheng Zhong ◽  
Lianchen Liu ◽  
Cheng Wu
Keyword(s):  
Fuzzy Logic Controller ◽  
Virtual Machines ◽  
Data Streaming ◽  
Grid Data ◽  
Processing Efficiency ◽  
Plant Model ◽  
Streaming Application ◽  
Fine Grained ◽  
Streaming Applications ◽  
Model Free

Fine-grained allocation of compute resources, in terms of configurable clock speed of virtual machines, is essential for processing efficiency and resource utilization of data streaming applications. For a data streaming application, its processing speed is expected to approach the allocated bandwidth as much as possible. Automatic control technology is a feasible solution, but the plant model is hard to be derived. In relation to the model free characteristic, a fuzzy logic controller is designed with several simple yet robust rules. Performance of this controller is verified to out-perform classic controllers in response rapidness and less oscillation. An empirical formula on tuning an essential parameter is obtained to achieve better performance.

Fuzzy Allocation of Fine-Grained Compute Resources for Grid Data Streaming Applications

2010 ◽  
Vol 2 (4) ◽  
pp. 1-11
Author(s):  
Wen Zhang ◽  
Junwei Cao ◽  
Yisheng Zhong ◽  
Lianchen Liu ◽  
Cheng Wu
Keyword(s):  
Fuzzy Logic Controller ◽  
Virtual Machines ◽  
Feasible Solution ◽  
Data Streaming ◽  
Grid Data ◽  
Processing Efficiency ◽  
Fine Grained ◽  
Streaming Applications ◽  
Model Free ◽  
Essential Parameter

Fine-grained allocation of compute resources, in terms of configurable clock speed of virtual machines, is essential for processing efficiency and resource utilization of data streaming applications. For a data streaming application, its processing speed is expected to approach the allocated bandwidth as much as possible. Automatic control technology is a feasible solution, but the plant model is hard to be derived. In relation to the model free characteristic, a fuzzy logic controller is designed with several simple yet robust rules. Performance of this controller is verified to out-perform classic controllers in response rapidness and less oscillation. An empirical formula on tuning an essential parameter is obtained to achieve better performance.

scholarly journals Complexity and integrated resource management: uncertainty in LCA

2004 ◽  
Vol 9 (5) ◽  
pp. 341-342 ◽  
Author(s):  
Mark Huijbregts ◽  
Reinout Heijungs ◽  
Stefanie Hellweg
Keyword(s):  
Resource Management ◽  
Integrated Resource Management

Harnessing bio-priming for integrated resource management under changing climate.

2017 ◽  
pp. 349-363
Author(s):  
S Deepranjan ◽  
P Sumita ◽  
H. B. Singh ◽  
R. S. Yadav ◽  
R Amitava
Keyword(s):  
Resource Management ◽  
Integrated Resource Management ◽  
Changing Climate
Sign in / Sign up

Export Citation Format

Share Document