DocumentCode
401766
Title
Improved load management based on resources reservation in distributed embedded systems
Author
Liu, Shaojie ; Gu, Jian-hua ; Gong, Bing
Author_Institution
Dept. of Comput. Sci. & Eng., Northwestern Polytech. Univ., Xi´´an, China
Volume
4
fYear
2003
fDate
2-5 Nov. 2003
Firstpage
2015
Abstract
Load balancing strategy has been founded and applied widely as an effective measure of performance optimization for most conventional distributed systems. However, for the sake of distributed embedded system´s inherent properties, especially for real-time property, load balancing strategy may not be desirable. On consideration of those properties, an improved load management scheme is presented based on a new way of resource reservation, which has considerable enhancements in satisfying real-time requirements. First, the conception of satisfaction to real-time requirement of incoming task is introduced in a new aspect. Then the implementation of resource reservation is narrated in detail. Under this concept of load management, the new incoming tasks are allocated to the most heavily loaded node, if only the service node can provide real-time satisfaction. Thus, a great amount of calculating resources is reserved for those tasks that require almost full resource of a service node. In addition, a central control model based on this improved load management is introduced into application and implement in building up a prototype system according to this model. During this simulation, the new load management strategy based on resource reservation shows great advantage according to real-time criteria against load balancing. The conclusion comes into being that the resource reservation strategy arising in the paper benefits from a distributed embedded system with high real-time requirements.
Keywords
distributed processing; embedded systems; resource allocation; software prototyping; distributed systems; embedded systems; load balancing strategy; load management; real-time systems; resource reservation strategy; Centralized control; Computer science; Delay; Embedded computing; Embedded system; Load management; Measurement standards; Optimization; Prototypes; Real time systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN
0-7803-8131-9
Type
conf
DOI
10.1109/ICMLC.2003.1259834
Filename
1259834
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