Cloud Computing and Data Science

ISSN: 2737-4106 (Print) 2737-4092 (Online) Description

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...

 

Latest Articles

Open Access Article

Taming and Controlling Performance and Energy Trade-Offs Automatically in Network Applications

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)...

Open Access Article

TinyML-Based Federated Learning: A Novel Framework for Privacy-Preserving Smart Healthcare Applications

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...

Open Access Article

A K-Means, Ward, and DBSCAN Repeatability Study

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...

Open Access Article

From Adoption to Execution: Challenges and Frameworks for Cloud ERP Implementation-A Systematic Literature Review

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...