Calls for Papers (special): International Journal of Grid and High Performance Computing (IJGHPC)

Special Issue On: Frontiers of Parallel and Distributed Algorithms for Edge-of-Things in Cluster Computing

Submission Due Date

Guest Editors
Prof. Gunasekaran Manogaran
Prof. Thanjai Vadivel. M
Prof. Naveen Chilamkurti

Cluster computing is a fusion of the fields of distributed, parallel, high-availability and high-performance computing. The objective of cluster computing is to solve various issues in cloud services and big data processing. Hence, cluster computing is widely used by algorithm developers, standardizing forums, network developers and system designers. Moreover, cluster computing is found to be an efficient platform for a range of parallel and distributed applications in both commercial and scientific environments. For example, cluster computing is widely used in following scientific environments, prediction of earthquakes, protein dynamic, climate change modeling, natural resource processing, e-commerce, data management services and web services.

The cloud-based Internet of Things (IoT) is used to connect a wide range of things such as vehicles, mobile devices, sensors, industrial equipments and manufacturing machines to develop a various smart systems it includes smart city and smart home, smart grid, smart industry, smart vehicle, smart health and smart environmental monitoring. These smart systems generate a large volume of data often called big data that cannot be processed by traditional data processing algorithms and applications. This would create more complexities to ensure scalability, mobility, reliability, low latency, network bandwidth consumption and energy efficiency of IoT devices while moving the IoT sensor data to the cloud. To overcome this issue, the fusion of IoT and rich cloud services are combined to create a novel technology called Edge-of-Things (EoT). In EoT, data processing occurs in part at the network edge or between the cloud-to-end that can best meet customer necessities, rather than entirely processing in a comparatively less number of massive clouds.

The main challenge in EoT is how to manage with emerging IoT environments, where a large number of connected devices participate in restricted wireless resources and where heterogeneity is ever-increasing. To overcome this issue, there is an urgent need for novel parallel and distributed algorithms for making effective decisions and interoperable solutions in emerging EoT. The aim of this special issue is to explore how the fusion of cluster computing environments such as parallel and distributed algorithms enhances an emerging EoT technology and hence present a completing panorama of the state-of-the-art scalable algorithms and architectures on applying cluster computing environments to EoT. This special issue aims to gather recent research works in emerging intelligent algorithms, parallel and distributed algorithms for EoT in cluster computing.

Recommended Topics
Topics include, but are not limited to, the following:
  • Parallel and distributed algorithms for EoT in cluster computing
  • Novel edge computing architecture for EoT in cluster computing
  • Semantic computing for EoT in cluster computing
  • Big data analytics for EoT in cluster computing
  • Programming models, APIs and toolkits for EoT in cluster computing
  • Cognitive edge computing for EoT in cluster computing
  • Autonomic resource management for EoT in cluster computing
  • Context-awareness for EoT in cluster computing
  • Intelligent algorithms for EoT in cluster computing
  • Agent based algorithms for EoT in cluster computing
  • Swarm Intelligence, Nature Inspired algorithms for EoT in cluster computing
  • Artificial intelligence and Genetic algorithms for EoT in cluster computing
  • Machine learning and deep learning for EoT in cluster computing

Submission Procedure
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).

All papers are refereed through a peer review process. All papers must be submitted online. To submit a paper, please read the Submission Procedure section. If you have any queries concerning this special issue, please email the Guest Editors using the information in the Submission Procedure section.

Submission deadline: April 15, 2018
Author notification: June 15, 2018
Final notification: Aug 15, 2018

All submissions and inquiries should be directed to the attention of:
Prof. Gunasekaran Manogaran, VIT University, Vellore, India,
Prof. Thanjai Vadivel. M, VelTech University, Chennai, India,
Prof. Naveen Chilamkurti, LaTrobe University, Melbourne, Australia,

PLEASE NOTE: All submissions should be created using the link below ↴

Special Issue On: Current desires on Ambient Intelligence enabled Internet of Things and Web of Things interface over Cloud

Submission Due Date

Guest Editors
Dr. Rizwan Patan
School of Computing Science and Engineering,
Galgotias University
Greater Noida, India

Dr. PELUSI Danilo
University of Teramo
Communication Sciences
Italian public research university
Teramo, 64100, Italy

Dr. Ramani Kannan
Electrical and Electronic Engineering Department,
Universiti Teknologi PETRONAS, Malaysia.

Dr. Balamurugan B
School of Computing Science and Engineering,
Galgotias University
Greater Noida, India

The Internet of Things (IoT) is a well-established paradigm for a network of tangible and concrete things that exploit the existing Internet infrastructure to interconnect over a variety of protocols, domains, and applications. Begun more than 10 years ago in the context of pervasive and ubiquitous computing research, the IoT currently comprises more than 13 billion Internet-connected devices ranging from mobile phones to plant watering tools. According to Cisco’s Internet Business Solutions Group, the IoT will steadily grow to more than 50 billion devices by 2020. These devices will be used in application domains that promise to change many aspects of everyday life. The study of how IoT systems will integrate and inter- act with users is tackled by the ambient intelligence (AmI) research field, which focuses on transparently and intelligently supporting people. IoT challenges and technology breakthroughs are attracting increasing efforts from the research community and greater attention from the business world, with big players seeking new market opportunities.

Researchers strongly believe that ambient intelligence could transform cities through dynamic routing and signage for both drivers and pedestrians. It could manage mass transit for optimal efficiency based on real-time conditions. It could monitor environmental conditions and mitigate potential hotspots proactively, predict the need for government services and make sure those services are delivered efficiently, spot opportunities to streamline the supply chain and put them into effect automatically.
To make a successful ambient assist environment, the Internet of Things requires the cloud to be successful. The cloud provides the pathway for IoT devices and sensors to transmit and store large amounts of data, provides the back-end analytics and computing resources to derive insights and intelligence from the data, and serves as a scalable and highly available medium for two-way communication. It also brings the on-demand and rapid resource elasticity as their IoT operations scale. The cost effectiveness for the storage and the computing resources was reduced marginally. The speed and agility of the products will be improved and also it helps to maintain the higher reliability, availability and security at scale.
We need to solve the trust and security issues inherent in a future world where we're constantly surrounded by connectivity and information. We need to consider what happens when tasks currently performed by humans can be automated into near invisibility. And we need to think about what it means to be human when ambient intelligence can satisfy our wants and needs before we express them, or before we even know that we have them.
In particular, the special issue is going to showcase the most incredible upsides and developments in the technologies to support IoT and cloud computing paradigms. Both theoretical studies and state-of-the-art practical applications are welcomed for submission. All submitted papers will be peer-reviewed and selected on the basis of both their quality and their relevance to the theme of this special issue.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:

• Profiling, context awareness, and human-centric computer interaction design for IoT
• Machine learning, neuronal networks, and automatic decision for ambient intelligence in IoT
• System-wide solutions, including interfaces and users for ambient intelligence in IoT
• Programming models, APIs and toolkits for IoT
• Communication and Networking protocols for IoT
• IoT system architecture and Enabling technologies
• Energy-efficient Data Offloading and Computing over IoT-Clouds
• Dynamic resource provisioning on IoT- cloud
• Analysis, design, implementation, and evaluation of ambient computing systems and environments
• Data mining and knowledge discovery methods for AmL
• Agent-based approaches to AmI
• Use of mobile, wireless, visual, and multi-modal sensor networks in intelligent systems
• Distributed software, systems, middleware, and frameworks for ambient intelligence
• Mobile Computing
• Social issues of applications of AmI
• Legal Issues in AmI
• Security, privacy, access control, and sharing of physical things on the Web
• Telecommunications design for IOT using ambient intelligence

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue Current desires on Ambient Intelligence enabled Internet of Things and Web of Things interface over Cloud on or before 10 July 2018. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
All inquires should be should be directed to the attention of:
Dr. Rizwan Patan
Guest Editor
International Journal of Grid and High-Performance Computing (IJGHPC)