Elastic parallel systems for high performance cloud computing: state-of-the-art and future directions

  • With on-demand access to compute resources, pay-per-use, and elasticity, the cloud evolved into an attractive execution environment for High Performance Computing (HPC). Whereas elasticity, which is often referred to as the most beneficial cloud-specific property, has been heavily used in the context of interactive (multi-tier) applications, elasticity-related research in the HPC domain is still in its infancy. Existing parallel computing theory as well as traditional metrics to analytically evaluate parallel systems do not comprehensively consider elasticity, i.e., the ability to control the number of processing units at runtime. To address these issues, we introduce a conceptual framework to understand elasticity in the context of parallel systems, define the term elastic parallel system, and discuss novel metrics for both elasticity control at runtime as well as the ex post performance evaluation of elastic parallel systems. Based on the conceptual framework, we provide an in depth analysis of existing research in the field to describe the state-of-the art and compile our findings into a research agenda for future research on elastic parallel systems.

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Metadaten
Name:Kehrer, Stefan; Blochinger, Wolfgang
DOI:https://doi.org/10.1142/S0129626419500063
ISSN:0129-6264
Erschienen in:Parallel processing letters
Publisher:World Scientific
Place of publication:New Jersey
Document Type:Article
Language:English
Year of Publication:2019
Tag:cloud computing; elastcity; elastic parallel system; high performance computing; parallel computing; workload
Volume:29
Issue:2
Pagenumber:20
First Page:Aufsatz 1950006
Dewey Decimal Classification:004 Informatik
Open Access:Nein