Title :
Recovery schemes for high availability and high performance distributed real-time computing
Author :
Lundberg, Lars ; Häggander, Daniel ; Klonowska, Kamilla ; Svahnberg, Charlie
Author_Institution :
Dept. of Software Eng. & Comput. Sci., Blekinge Inst. of Technol., Ronneby, Sweden
Abstract :
Clusters and distributed systems offer fault tolerance and high performance through load sharing, and are thus attractive in real-time applications. When all computers are up and running, we would like the load to be evenly distributed among the computers. When one or more computers-fail the must be redistributed. The redistribution is determined by the recovery scheme. The recovery scheme should keep the load as evenly distributed as possible even when the most unfavorable combinations of computers break down, i.e. we want to optimize the worst-case behavior. In this paper we define recovery schemes, which are optimal for a number of important cases. We also show that the problem of finding optimal recovery schemes corresponds to the mathematical problem of finding sequences of integers with minimal sum and for which all sums of subsequences are unique.
Keywords :
fault tolerant computing; real-time systems; resource allocation; system recovery; clusters; distributed systems; fault tolerance; high performance distributed real-time computing; load sharing; mathematical problem; recovery schemes; worst-case behavior; Application software; Availability; Computer applications; Computer science; Concurrent computing; Distributed computing; Fault tolerant systems; High performance computing; Real time systems; Software engineering;
Conference_Titel :
Parallel and Distributed Processing Symposium, 2003. Proceedings. International
Print_ISBN :
0-7695-1926-1
DOI :
10.1109/IPDPS.2003.1213241