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New Trends in Cloud Computing for Big Data Analytics

This special issue belongs to the section “Computer Science & Engineering“.

Special Issue Information

Dear Colleagues,

The Special Issue aims to explore the latest advancements, innovative solutions, and emerging challenges in the intersection of cloud computing and big data analytics. 

The scope of this Special Issue encompasses a wide range of aspects related to how cloud computing technologies can be effectively utilized to handle, process, and analyze vast amounts of big data. It delves into the potential of cloud platforms in providing scalable infrastructure, cost effective solutions, and high-performance computing capabilities for big data applications. 

This Special Issue will focus on (but is not limited to) the following topics: First, it will cover cloud-based big data processing frameworks, such as how new architectures are designed to optimize data flow and computational efficiency. Second, it will cover security and privacy issues in cloud-enabled big data analytics are crucial, including techniques to protect sensitive data during storage and processing. Third, the integration of artificial intelligence and machine learning algorithms with cloud-based big data systems will be covered, exploring how these combinations can enhance data analysis accuracy and prediction capabilities. Fourth, this Special Issue will cover energy-efficient cloud computing strategies for big data analytics, aiming to reduce the environmental impact while maintaining performance.

Dr. Ming-Shen Jian
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • cloud computing
  • big data analytics
  • innovation
  • challenges
  • security
  • AI integration

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Electronics - ISSN 2079-9292