Achieving self-aware parallelism in stream programs

The age of big data open the door to a new approach in data exploration and utilization. With the increasing complexities and dynamics of modern IT systems and services, it has become a challenge to effectively exploit parallelism on multicore platforms in computing systems that are heterogeneous, d...

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Vydané v:	Cluster computing Ročník 18; číslo 2; s. 949 - 962
Hlavní autori:	Su, Yan, Shi, Feng, Talpur, Shahnawaz, Wang, Yizhuo, Hu, Sensen, Wei, Jin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.06.2015 Springer Nature B.V
Predmet:	Adaptation Big Data Changing environments Closed loops Computer Communication Networks Computer Science Data processing Feedback control Finite state machines Metadata Operating Systems Optimization Parallel processing Processor Architectures Reconfiguration Self awareness Software System effectiveness Multicore Stream programming Message-driven execution Distributed computing Reconfigration Self-aware parallelism
ISSN:	1386-7857, 1573-7543
On-line prístup:	Získať plný text
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