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
4/15/2018

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

Introduction
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.

Objective
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, gunavit@gmail.com
Prof. Thanjai Vadivel. M, VelTech University, Chennai, India, thanjaivadivel@veltechuniv.edu.in
Prof. Naveen Chilamkurti, LaTrobe University, Melbourne, Australia, n.chilamkurti@latrobe.edu.au

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