Optimization of Performance in Cloud Data Streaming: Comprehensive Review

Authors

  • Suhad S. Hussein Department of basic science, college of dentistry, University of Baghdad, Baghdad, Iraq;
  • Karim Q. Hussein Department of computer Science, college of Science, Mustansiriyah University, Baghdad, Iraq

DOI:

https://doi.org/10.15379/ijmst.v10i4.2279

Keywords:

Cloud Computing, Data Streaming, Performance Optimization, Real-Time Data Processing, Data Ingestion

Abstract

With the proliferation of cloud computing, the landscape of data processing has undergone a transformative shift. Cloud data streaming, a linchpin of real-time data processing, has emerged as a critical enabler for organizations seeking timely insights and informed decision-making. However, optimizing the performance of cloud data streaming systems poses intricate challenges that necessitate exploration. This comprehensive review article navigates the multifaceted terrain of enhancing performance in cloud data streaming. It encompasses foundational concepts, performance evaluation metrics, prevalent challenges, advanced optimization strategies, illustrative case studies, comparative analysis of platforms, anticipatory trends, and directions for further research.

Downloads

Download data is not yet available.

Downloads

Published

2023-10-02

How to Cite

[1]
S. S. . Hussein and K. Q. . Hussein, “Optimization of Performance in Cloud Data Streaming: Comprehensive Review ”, ijmst, vol. 10, no. 4, pp. 1559-1570, Oct. 2023.