Title :
Performance evaluation of a clustered adaptive-risk approach for parallel simulation
Author :
Soliman, Hussam M. ; Elmaghraby, Adel S. ; Alfantookh, Abdulkader
Author_Institution :
Coll. of Comput. & Inf. Sci., King Saud Univ., Riyadh, Saudi Arabia
Abstract :
The aggressive adaptive-risk (AAR) approach is an efficient clustered and adaptive approach for parallel simulation which provides optimistic logical processes the ability to adjust their degree of risk at run time, based on observed behavior. The AAR approach is implemented on a network of workstations. Performance results using large synthetic loads are reported and compared to those obtained for the time warp optimistic technique
Keywords :
digital simulation; local area networks; parallel processing; software performance evaluation; workstations; clustered adaptive-risk approach; large synthetic loads; observed behavior; optimistic logical processes; parallel simulation; performance evaluation; run time risk adjustment; time warp optimistic technique; workstation network; Atherosclerosis; Clocks; Clustering algorithms; Computational modeling; Computer simulation; Concurrent computing; Discrete event simulation; Educational institutions; Petroleum; USA Councils;
Conference_Titel :
Computers and Communications, 1997. Proceedings., Second IEEE Symposium on
Conference_Location :
Alexandria
Print_ISBN :
0-8186-7852-6
DOI :
10.1109/ISCC.1997.616074
