Optimization and Performance Measurement Model for Massive Data Streams-Reference-Cited by-同舟云学术

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Optimization and Performance Measurement Model for Massive Data Streams

Published:2021 Issue: Volume: Page:350-359
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Kumar Vivek^ORCID,Sharma Dilip K.,Mishra Vinay K.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-16-1480-4_31

Reference19 articles.

1. Assadi, S.: Combinatorial optimization on massive datasets: streaming, distributed, and massively parallel computation. Ph.D. Thesis, University of Pennsylvania, Philadelphia (2018)

2. CERN. Retrieved from CERN Accelerating Sciences (2020). https://home.cern/science/accelerators/large-hadron-collider

3. Corp, I.B.: Patent No. 8,392,398. Washington, DC (2013)

4. Epasto, A., Lattanzi, S., Vassilvitskii, S., Zadimoghaddam, M.: Submodular optimization over sliding windows. In: 26th International Conference on World Wide Web, p. 421430 (2017)

5. Kaggle. Yelp Dataset. Retrieved July 24, 2020, from kaggle.com (2019). https://www.kaggle.com/yelp-dataset/yelp-dataset

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2. Approaches to Optimize Memory Footprint for Elephant Flows;Proceedings of Data Analytics and Management;2021-11-22

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