Special Issue: Frontiers in Federated Cloud and Applications

Theme and Scope

The changing world of computing with advanced internet infrastructure and virtual private networks has led to cloud computing platforms. Further, the advancement in technology and the pervasiveness of the internet have made cloud a feasible solution for various information technology services. Since, cloud platforms interconnect data centres that advocate complete control of resources, it offers computing resources like virtualization, networking, storage, databases and servers based on customer demands. On the other hand, federated cloud allows us to overcome limitations such as vendor lock-in, reliability, dynamic stability etc., in a cloud environment.

Virtual services such as Software as service (SaaS), Infrastructure as service (IaaS), platform as services (PaaS) are included in Federated cloud environment. It is a single pool that integrates features like resource redundancy and migration. Migration enables allocation of data images, source code, and data items from one domain to the other, whereas redundancy, augments aggregated service usage in a different part. It maintains cloud security and compliance policies across various platforms, deploys applications across targeted environments like production, development and staging. It further integrates internal Cloud and multiple external processes to satisfy any business processes. Also, federate cloud provides seamless software service using a common standard procedure without interruptions.

Moreover, federated cloud   integrates heterogeneous process such as community cloud, public Cloud, and Private Cloud to scale up the resources and services for the users. The federated Cloud amalgamates computer-driven applications, private and public clouds, into data, the computing platforms for data transfer. The cloud management framework supports a set of cloud interfaces to maximize profit from underutilized or idle computing resources. Without adding additional Point of Presence (POP) it broadens the cloud footprints and horizons to meet demand of IT infrastructure. In addition, the challenges in a cloud environment such as accommodation spikes, security, scheduling and load balancing are tackled with federated Cloud.

With constant evolution, neural networks facilitate various human intelligent algorithms, including deep learning that solve abstract issues, such as bioinformatics, medication design, the filtering of social networks, and natural language translation. Deep learning is where we address the most difficult challenges, including sophisticated robots, in science and engineering. We make everyday progress as neural networks get smarter and quicker. With the rapid growth in signal processing and deep learning technology, many new algorithms have all been used for real-time signal processing, such as local tangent alignment, spectral clustering, compressive sensing, restrained Boltzmann machine and long short-term memory.     

The overarching multi-Cloud offers enterprises reduced security, compatibility, licensing issues and unplanned downtime. The security issues are the most important concern and impediment in adopting and federated cloud. However, security continues to be the most important impediment to cloud adoption. Overall, federated cloud creates a significant impact on resources utilisation management and applications. We invite practitioners from various disciplines to share their ideas on multi or federated cloud environments in the IT environment.

The topics of interest for the special issue include, but not limited to the following:

  • Enhancing the features of IT environment with Federated cloud applications
  • Federated cloud computing platform for improving optimum utilization of software’s in IT environment
  • Emerging trends in IT infrastructure with federated cloud applications
  • Federated cloud environment for effective and reliable IT infrastructure
  • A comprehensive federated cloud environment for improving software service efficiency
  • Cost optimization of IT infrastructure using federated cloud environment
  • Optimization and standardisation of federated cloud and its applications
  • Benefits and challenges of federated cloud environment
  • Optimal federated cloud platform for improving business environment
  • Federated Cloud computing platform with efficient dynamic resource allocation

Instructions for Manuscripts

Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at https://jit.ndhu.edu.tw/. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines.

Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “Frontiers in Federated Cloud and Applications”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline.


Important Dates

Submission Deadline: September 10, 2022

Author First Notification: December 06, 2022

Revisions Due: February 10, 2023

Final Notification: May 15, 2023

Tentative Publication: the 4th Quarter of 2023

Supervising Editor:

Dr. Wei-Che Chien

Department of Computer Science & Information Engineering, Dong Hwa University, Taiwan

E-mail: wcc@gms.ndhu.edu.tw

Guest Editors:

Dr. S. Balamurugan (Leading Guest Editor)

Albert Einstein Engineering and Research Labs (AEER Labs), India

E-mail: balamurugan@ieee.org


Dr. BalaAnand Muthu

Department of Computer Science & Engineering, Adhiyamaan College of Engineering, India

E-mail: balaanand@ieee.org  


Dr. Sheng-Lung Peng

National Taipei university of business, Taiwan

E-mail: slpeng@ntub.edu.tw  


Dr. Mohd Helmy Abd Wahab

Universiti Tun Hussein Onn Malaysia, Malaysia

E-mail: helmy@uthm.edu.my