Paper Info
Title
On the Effects of Data-Aware Allocation on Fully Distributed Storage Systems for Exascale.
Abstract
The convergence between computing- and data-centric workloads and platforms is imposing new challenges on how to best use the resources of modern computing systems. In this paper we show the need of enhancing system schedulers to differentiate between compute- and data-oriented applications to minimise interferences between storage and application traffic. These interferences can be especially harmful in systems featuring fully distributed storage systems together with unified interconnects, such as our custom-made architecture ExaNeSt. We analyse several data-aware allocation strategies, and found that such strategies are essential to maintain performance in distributed storage systems.
Year
Venue
Field
2017
Euro-Par Workshops
Convergence (routing),Architecture,Near data computing,Scheduling (computing),Computer science,Distributed data store,Resource allocation,Computing systems,Distributed computing
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
20
4
Name
Order
Citations
PageRank
Jose A. Pascual1425.03
Caroline Concatto2647.80
Joshua Lant311.03
Javier Navaridas420123.58