DocumentCode :
2176432
Title :
FTDS: Adjusting Virtual Computing Resources in Threshing Cases
Author :
Huang, Jian ; Jin, Hai ; Hu, Kan ; Shao, Zhiyuan
Author_Institution :
Services Comput. Technol. & Syst. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2010
fDate :
17-19 Feb. 2010
Firstpage :
19
Lastpage :
26
Abstract :
In a virtual execution environment, dynamic computing resource adjustment technique, configuring the computing resource of virtual machines automatically according to the actual loads generated by applications, is often adopted in virtual machine monitor to improve the resource utilization rate. Traditionally, the simple Additive Increase Subtractive Decrease (AISD) scheme is used as an adjusting rule. However, in some special situations, for example, compiling kernel in a virtual machine, the configuration of virtual machines may change abruptly because of the violent vibration of workload during a short interval, and the threshing can inevitably result in additional overhead under AISD rule. In this paper, we extend the Proportional-Integral-Derivative (PID) algorithm and present a feedback control model for configuring virtual computing resources, and propose an innovative adjusting scheme called Forecasting and Time Delayed Subtraction (FTDS) to reduce the overhead caused by threshing. The FTDS uses both statistic history of resource requests and current utilization of computing resource to predict whether threshing happens and to determine how many and when to adjust the amount of virtual CPUs. Experimental results show that FTDS can effectively reduce the jitter occurred in adjusting and make the performance penalty for threshing decreased from 9% to 0.3% compared with AISD, while maintaining that in non-threshing cases the same as AISD.
Keywords :
delays; distributed processing; resource allocation; three-term control; virtual machines; FTDS; PID algorithm; additive increase subtractive decrease scheme; dynamic computing resource adjustment technique; feedback control model; forecasting and time delayed subtraction; jitter reduction; proportional-integral-derivative algorithm; resource utilization; threshing cases; virtual CPU; virtual computing resources; virtual execution environment; virtual machines; Delay effects; Feedback control; History; Kernel; Predictive models; Resource management; Statistics; Three-term control; Virtual machine monitors; Virtual machining; PID algorithms; dynamic resource adjustment; threshing problem; virtual machine monitor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel, Distributed and Network-Based Processing (PDP), 2010 18th Euromicro International Conference on
Conference_Location :
Pisa
ISSN :
1066-6192
Print_ISBN :
978-1-4244-5672-7
Electronic_ISBN :
1066-6192
Type :
conf
DOI :
10.1109/PDP.2010.48
Filename :
5452516
Link To Document :
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