Title :
Providing absolute differentiated services for real-time applications in static-priority scheduling networks
Author :
Wang, Shengquan ; Xuan, Dong ; Bettati, Riccardo ; Zhao, Wei
Author_Institution :
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA
Abstract :
We propose and analyze a methodology for providing absolute differentiated services for real-time applications in networks that use static-priority schedulers. We extend previous work on worst-case delay analysis and develop a method that can be used to derive delay bounds without specific information on flow population. With this new method, we are able to successfully employ a utilization-based admission control approach for flow admission. This approach does not require explicit delay computation at admission time and hence is scalable to large systems. We assume the underlying network to use static-priority schedulers. We design and analyze several priority assignment algorithms, and investigate their ability to achieve higher utilization bounds. Traditionally, schedulers in differentiated services networks assign priorities on a class-by-class basis, with the same priority for each class on each router. We show that relaxing this requirement, that is, allowing different routers to assign different priorities to classes, achieves significantly higher utilization bounds
Keywords :
Internet; delays; performance evaluation; quality of service; telecommunication congestion control; telecommunication network routing; telecommunication traffic; Internet; QoS architecture; absolute differentiated services; delay bounds; differentiated services networks; flow admission; heuristic algorithms; performance evaluation; priority assignment algorithms; real-time applications; router; static-priority schedulers; static-priority scheduling networks; traffic model; utilization bounds; utilization-based admission control; worst-case delay analysis; Admission control; Algorithm design and analysis; Application software; Bandwidth; Delay effects; Diffserv networks; Intelligent networks; Job shop scheduling; Processor scheduling; System testing;
Conference_Titel :
INFOCOM 2001. Twentieth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-7016-3
DOI :
10.1109/INFCOM.2001.916255