TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Kehrer, Stefan
A1  - Blochinger, Wolfgang
T1  - Elastic parallel systems for high performance cloud computing: state-of-the-art and future directions
JF  - Parallel processing letters
N2  - 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.
KW  - cloud computing
KW  - high performance computing
KW  - parallel computing
KW  - elastic parallel system
KW  - elastcity
KW  - workload
Y1  - 2019
SN  - 0129-6264
SS  - 0129-6264
U6  - https://doi.org/10.1142/S0129626419500063
DO  - https://doi.org/10.1142/S0129626419500063
VL  - 29
IS  - 2
SP  - Aufsatz 1950006
S1  - 20
PB  - World Scientific
CY  - New Jersey
ER  -