Development of Cloud Computing and Big Data Analytics
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 138
Special Issue Editors
Interests: edge computing; distributed systems measurements and performance observability; data processing and visualizations
Special Issue Information
Dear Colleagues,
Cloud computing and Big Data analytics are pivotal in shaping today's technological landscape, where AI has become dominant. Cloud computing offers organizations scalable, cost-effective access to shared resources. Conversely, Big Data analytics empowers organizations to extract valuable insights from vast volumes of data to enable data-driven decision-making and enhance operational efficiency across industries ranging from healthcare and telecommunications to manufacturing and transportation. Novel technologies and algorithms are continuously being developed to capture and analyze Big Data using cloud technologies. This Special Issue aims to publish work on the latest advancements, challenges, and applications in these rapidly evolving fields. We invite original research articles, reviews, and case studies that provide insights into the current state of the art, future trends, and practical implications in the intersection of cloud and Big Data.
Areas relevant to this Special Issue include, but are not limited to, the following:
- Cloud infrastructure and platform development for Big Data;
- Computation, storage, and networking issues for Big Data in the cloud;
- Big Data analytics applications, algorithms, and system integration into the cloud;
- Automated scaling of cloud systems for Big Data applications;
- Big Data visualization in the cloud;
- Cloud and Big Data monitoring and management;
- Security and privacy issues related to the cloud and Big Data;
- Big Data for training AI models.
Dr. Muhammad Usman
Dr. Aris Cahyadi Risdianto
Guest Editors
Manuscript Submission Information
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Keywords
- cloud computing
- big data
- AI
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