Cloud Computing and Data Science(CCDS) is an international, open-access, and peer-reviewed journal dedicated to advancing research in cloud computing and data science. The topics of strong interest to our readership span the exploration of established and rapidly emerging topics, which include but are not limited to: green cloud computing, edge computing, big data, and data mining, click here to see more...
Call for Papers for Volume 7, Issue 2
Sep 26,2025Numerous Editorial Board Members being included in the list of the world's top 2% scientists 2025
by Han Dong, Sanjay Arora, Yara Awad, Orran Krieger, Jonathan Appavoo
ABSTRACT: In this paper, we demonstrate that a server running a single latency-sensitive application can be treated as a black box to reduce energy consumption while meeting a Service-Level Agreement (SLA)...
by Manas Kumar Yogi, K. V. V. L. S. Karthik, Pasupuleti Sri Durga Tanuja Gayatri
ABSTRACT: This paper presents an optimized integration framework combining Tiny Machine Learning (TinyML) and Federated Learning (FL) for privacy-preserving smart healthcare applications. While building...
by Anthony Bertrand, Engelbert Mephu Nguifo, Violaine Antoine, David R.C. Hill
ABSTRACT: Reproducibility is essential in machine learning because it ensures that a model or experiment yields the same scientific conclusion. For specific algorithms, repeatability with bitwise identical...
by Caroline Hornegger, Michael Kohlegger, Christian Ploder
ABSTRACT: An increasing number of companies are migrating their Enterprise Resource Planning (ERP) systems to the cloud-an area that remains relatively underexplored, as traditional ERP systems were...