CISNE-P: a global scheduling oriented to NOW environments
Hernández Budé, Porfidio
MetadataShow full item record
In this work, we present an integral scheduling system for non-dedicated clusters, termed CISNE-P, which ensures the performance required by the local applications, while simultaneously allocating cluster resources to parallel jobs. Our approach solves the problem efficiently by using a social contract
technique. This kind of technique is based on reserving computational resources, preserving a predetermined response time to local users. CISNE-P is a middleware which includes both a previously developed space-sharing job scheduler and a dynamic coscheduling system, a time sharing scheduling component. The experimentation performed in a Linux cluster shows that these two scheduler components are complementary and a good coordination improves global performance significantly. We also compare two different CISNE-P implementations: one developed inside the kernel, and the other entirely implemented in the user space.
Is part ofJournal of Computer Science & Technology, 2007, vol. 7, núm. 1, p. 72-78
Showing items related by title, author, creator and subject.
Hanzich, Mauricio; Giné, Francesc; Hernández Budé, Porfidio; Solsona Tehàs, Francesc; Luque, Emilio (Springer Verlag, 2005)Wasted resources are a common reality in open laboratories in any University today . Our aim is to take advantage of those resources to do parallel computation without disturbing the local tasks excessively. In order ...
Giné, Francesc; Solsona Tehàs, Francesc; Hanzich, Mauricio; Hernández Budé, Porfidio; Luque, Emilio (Springer Verlag, 2007)Implicit coscheduling techniques applied to non-dedicated homogeneous Networks Of Workstations (NOWs) have shown they can perform well when many local users compete with a single parallel job. Implicit coscheduling deals ...
Lérida Monsó, Josep Lluís; Solsona Tehàs, Francesc; Giné, Francesc; Hanzich, Mauricio; García, J. R.; Hernández Budé, Porfidio (Springer Verlag, 2007)Recently, Multicluster environments have become more important in the high-performance computing world. However, less attention has been paid to non-dedicated Multiclusters. We are developing MetaLoRaS, an efficient ...