StarData: Distributed Map-Reduce Framework Atop Serverless Computing Platforms

With the rapid development of information networks, intelligent terminals, the Internet of Things, and various sensing devices continue to expand. A large amount of isomorphic and heterogeneous data has been generated. How to process these data efficiently and in real time has become the leading res...

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Veröffentlicht in:	IEEE access Jg. 13; S. 182633 - 182644
Hauptverfasser:	Zhou, Shuhui, He, Xing, Zhang, Zhenshuo, Gao, Feng, Hong, Yuan, Gao, Ruijin, Wang, Xiaoming, Yun, Hongsheng, Ma, Ruhui, Sun, Jinshan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	AWS Lambda Big Data cloud computing Cost effectiveness Costs Data analysis Data processing Distributed databases Internet of Things map-reduce Parallel processing Python Random access memory Resource allocation Scalability Sensors Serverless computing Sun
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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