Performance Engineering in Data Grids
2005 (English)In: Concurrency and Computation, ISSN 1532-0626, E-ISSN 1532-0634, Vol. 17, no 2-4, 171-191 p.Article in journal (Refereed) Published
The vision of Grid computing is to facilitate worldwide resource sharing among distributed collaborations. With the help of numerous national and international Grid projects, this vision is becoming reality and Grid systems are attracting an ever increasing user base. However, Grids are still quite complex software systems whose efficient use is a difficult and error-prone task. In this paper we present performance engineering techniques that aim to facilitate an efficient use of Grid systems, in particular systems that deal with the management of large-scale data sets in the tera- and petabyte range (also referred to as data Grids). These techniques are applicable at different layers of a Grid architecture and we discuss the tools required at each of these layers to implement them. Having discussed important performance engineering techniques, we investigate how major Grid projects deal with performance issues particularly related to data Grids and how they implement the techniques presented.
Place, publisher, year, edition, pages
2005. Vol. 17, no 2-4, 171-191 p.
data Grid, performance, scheduling, replica management
Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-62146DOI: 10.1002/cpe.923ISI: 000227460200005OAI: oai:DiVA.org:kth-62146DiVA: diva2:479884
QC 201201182012-01-182012-01-182012-01-18Bibliographically approved