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


Special Issue On: Heterogeneous Big Data Analytics and Cloud Computing

Submission Due Date
6/30/2017

Guest Editors
Ruomei Wang
Xiangjian He
Songhua Xu

Introduction
Propelled by the rapid advancement of massive storage devices and delivery technologies, both the amount and the diversity of consumer-produced data on the web are growing at an incredible rate. Heterogeneous data such as videos, images, graphics and text from multiple sources embodies different feature spaces, which leads to poor accessibility without using efficient and effective technologies and solutions. Grid and cloud computing have been one of most popular research topics in recent year. These technologies are very important since they provide a reliable, fault-tolerant and scalable environment to perform specific tasks and access geographically distributed and heterogeneous data on demand.

Objective
This special issue will target the most advanced heterogeneous big data topics and advocates a promising combination of cloud computing and automatic analysis techniques to deal with the challenges of cross-media integration, multi-scale analysis and processing of heterogeneous big data.

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

  • Heterogeneous big data processing models and algorithms
  • Novel frameworks and approaches for heterogeneous big data management on Clouds
  • Multidimensional visualization systems of multimedia big data
  • Real time analytics on Cloud-hosted streaming of media data
  • Indexing and retrieval for large multimedia collections
  • Computer graphics
  • Multi-modal information retrieval for big data on Clouds
  • Computer vision & image processing
  • Cloud computing and storage for visual data
  • Machine learning for multimedia big data
  • Computational intelligence techniques for multi-modal data analysis


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Heterogeneous Big Data Analytics and Cloud Computing on or before 30 June, 2017. 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 http://www.igi-global.com/journals/guidelines-for-submission.aspx. 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:
Ruomei Wang
Guest Editor
International Journal of Grid and High Performance Computing
E-mail: isswrm@mail.sysu.edu.cn

All manuscript submissions to the special issue should be sent through the online submission system:
http://www.igi-global.com/authorseditors/titlesubmission/newproject.aspx

Special Issue On: Privacy and Security Issues in Big Data Search and Mining

Submission Due Date
7/10/2017

Guest Editors
Managing Guest Editors: Raghvendra Kumar, Manju Khari, Prasant Kumar Patnaik
Main Guest Editors: Souvik Pal, Rubén González Crespo, Nguyen Gia Nhu

Introduction
“Big Data” refers to datasets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze. Big Data is going to continue growing during the next years. The Special session on Privacy and Security Issues in Big Data Search and Mining aims to bring together researchers from both industry and academia to participate and present their work related to various aspects of privacy and security issues in big data mining and search.

Objective
The issue aims at bringing together researchers and practitioners in the world working on trusted computing and communications, with regard to trust, security, privacy, reliability, dependability, survivability, availability, and fault tolerance aspects of systems and networks, and providing a forum to present and discuss emerging ideas and trends in this highly challenging research field.

Recommended Topics
  • Algorithms and Systems for Big Data Search
  • Big Data Classification Techniques
  • Big Data Clustering Algorithms
  • Big Data Mining and Security Intelligence
  • Big Data Mining in the Cloud
  • Big Data Search Architectures
  • Big Data Search Scalability and Efficiency
  • Compression and Sampling
  • Data Integration, Aggregation, and Representation
  • Data Mining Security for Big Data
  • Distributed and Peer-To-Peer Search
  • Cyber Security in International Relations (SLA, Theories- Cuckoo’s Egg, Cyber war is coming, World war 3.0, Arms Control in Cyber Space)
  • Cyber Security in Economics and Finance (Internet Security Alliance)
  • Cyber Security in Everyday life (Healthcare, Banking, Business, Applications (Whatsapp, Hangouts)
  • Attacks
  • Ethics in Cyber Security (Cyber Security Information Sharing Act)
  • Cloud computing and storage for visual data
  • Machine learning for multimedia big data


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Privacy and Security Issues in Big Data Search and Mining on or before 10 July, 2017. 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 http://www.igi-global.com/journals/guidelines-for-submission.aspx. 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:
Managing Guest Editors:
1. Raghvendra Kumar
Department of Computer Science and Engineering
LNCT Group of College, Jabalpur, MP India
Email ID: raghvendraagrawal7@gmail.com, raghv1987@gmail.com

2. Manju Khari
Department of Computer Science and Engineering
AIACTR, Delhi, India
Email ID: manjukhari@yahoo.co.in

3. Prasant Kumar Patnaik
School of Computer Science
KIIT University, Bhubaneswar, India
Email ID: patnaikprasant@gmail.com

Main Guest Editors:
1. Souvik Pal
Department of Computer Science and Engineering
Elitte College of Engineering, Kolkata, India
Email ID: souvikpal22@gmail.com

2. Rubén González Crespo
School of Engineering and Technology
Universidad Internacional de La Rioja (UNIR)
Email ID: ruben.gonzalez@ijimai.org

3. Nguyen Gia Nhu
Graduate School, Duy Tan University, VietNam
Email ID: nguyengianhu@duytan.edu.vn; nguyengianhu@gmail.com

PLEASE NOTE: All manuscript submissions to the special issue should be sent through the online submission system using the link below.

Special Issue On: ICT Convergence in High Performance Heterogeneous Computing for Extreme Scale Applications

Submission Due Date
7/30/2017

Guest Editors
Dr. Suresh Kumar Nagarajan, VIT University, India
Dr. Swarna Priya, VIT University, India
Dr. X. Z. Gao, Lappeenranta University of Technology, Finland

Introduction
In recent years, the evolution and growth of the techniques and platforms commonly used for high - performance computing (HPC) in the context of different application domains have been truly astonishing. While parallel computing systems have now achieved certain maturity, recent advances in these technologies pose several challenging research issues. Indeed, current HPC -oriented environments are extremely complex and very difficult to manage, particularly for extreme - scale application problems.

The emergence of heterogeneous computing now allows groups of users to benefit from networks of processors that are already available in their research laboratories. This is a second type of infrastructure where both the network and the processing units are heterogeneous in nature. Specifically, the goal here is to deal with networks that interconnect a large number of heterogeneous computers that can significantly differ from one another in terms of their hardware and software architecture, including different types of CPUs operating at different clock speeds and under different design paradigms, and with different memory sizes, caching strategies, and operating systems.

Objective
At the high end, computers are increasingly interconnected together throughout wide area networks to form large - scale distributed systems with high computing capacity. Furthermore, computers located in different laboratories can collaborate in the solution of a common problem. Therefore, the current trends of HPC are clearly oriented toward extreme - scale, complex infrastructures with a great deal of intrinsic heterogeneity and many different hierarchical levels.

After the Internet of Things (IoT) has been introduced in recent years, the IoT has been boosted and implemented in a number of various industry sectors, such as, Smart Home, Smart City, Smart Lighting, Smart Factory and Smart Energy Management Systems. Currently, various ICT technologies and vertical domains are converged in the IoT to provide new levels of functionalities and services to users. For example, smart parking services will converge with in-vehicle communications, location-based tracking services and navigation and infotainment services within cars.

This special issue will address a comprehensive overview of the state-of-the-art in technology and research advances for various ICT technologies convergence in the high performance computing environment for all extreme scale smart applications like IOT, Smart Grid, etc. and welcome both theoretical and experimental papers.

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

  • Heterogeneity in computer architectures and hardware accelerators (GPU, CPU, FPGA)
  • Computational framework and mathematical modelling
  • Parallel algorithms for heterogeneous and hierarchical systems and their performance models
  • Programming models and tools for heterogeneous systems
  • Interoperability, failure management and Scheduling in high performance heterogeneous computing systems
  • Ubiquitous computing for Bioinformatics applications
  • Bioinformatics case studies in high performance heterogeneous computing systems
  • System Evaluation models and management
  • Database technologies for big biological dataset
  • Scalable computing for evolutionary genomics
  • Computational evolutionary biology
  • Multi-cores and Many-cores system for NGS analysis and applications
  • Internet of Things architectures supporting smart ICT convergence
  • Network architecture and system design for intelligent convergence in IoT
  • Approaches and solutions for the integration of various IoT services
  • Internet of X (e.g., Vehicles, Lights, Media, Healthy Things, Brains, Farm Things, Robots)
  • Experiences and lessons learned from large-scaled IoT pilot projects
  • Smart city converging various vertical technologies


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on ICT Convergence in High Performance Heterogeneous Computing for Extreme Scale Applications on or before July 30th, 2017. 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 http://www.igi-global.com/journals/guidelines-for-submission.aspx. 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:
Dr. Suresh Kumar Nagarajan
Dr. Swarna Priya
Guest Editor
International Journal of Grid and High Performance Computing (IJGHPC)
E-mail: sureshkumar.n@vit.ac.in

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

Special Issue On: High Performance Computing Applications for Science and Engineering

Submission Due Date
7/30/2017

Guest Editors
Dr. A. Jayanthiladevi, Jain University, Bangalore, India
Dr. Nripendra P. Rana, Swansea University, United Kingdom
Dr. Pavel Lafata, Czech Technical University in Prague, Czech Republic

Introduction
The origins of HPC exist within the academic community where needs arose to crunch large data sets very early on. Think satellite data, genomics, nuclear physics, etc. Grid, effectively, has been around since the beginning of the enterprise computing era, when it became easier for academic research institutions to move away from large mainframe-style supercomputers towards a more scale-out model using lots of relatively inexpensive hardware in large clusters. The emphasis here on relatively.

Objective
This special issue will target the most recent advancements in cloud, grid, and high performance computing have transformed the way in which both individuals and organizations compute, communicate, and collaborate to examines current, state-of-the art research on all aspects of grid and cloud evolution, middleware, standards, API, economy, education, services, algorithms, collaboration, impact, instrumentation, security, portals, trends, challenges, models, work flow management, wireless systems, and high performance computing. While the development of high performance computing (HPC) started many decades ago and has provided many scientists with powerful computing capabilities, it has recently been recognized that integrating HPC to mathematical modeling, numerical algorithms and large scale data bases of observations will lead to a new paradigm in science and engineering. Researchers in both academic and government positions rely on high performance computing (HPC) to aid in new discoveries every day.

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

  • Future Applications of High-Performance Computing
  • Supercomputing for Healthcare and Medicine
  • Modeling and simulation
  • Security, Fintech and Engineering
  • Materials and manufacturing industries
  • HPC hardware,Develop and redesign products
  • HPC Optimise production and delivery processes
  • Analyse or develop large datasets
  • HPC Conduct large-scale research projects
  • HPC Store large amounts of data for future analysis
  • HPC Perform consumer trend monitoring, searching or profiling
  • HPC Create computer visualisations that explain research results
  • HPC Carry out simulations and / or modelling of complex processes
  • Visualisation of complex data
  • Rapid mathematical calculations
  • HPC Aerodynamics and aerospace engineering
  • HPC Astrophysics and geophysics
  • HPC Atmospheric research and meteorological forecasting
  • Automotive design and production
  • HPC Climate modeling
  • HPC Computer graphics and imaging
  • Molecular biology and molecular dynamics
  • HPC Nuclear physics
  • HPC Petroleum reservoir engineering and hydrology
  • Pharmaceutical structural analysis and computer-aided design
  • HPC Physical oceanography
  • HPC Plasma physics
  • Quantum chemistry and first principles molecular dynamics
  • HPC Solid state physics, and structural dynamics


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on High Performance Computing Applications for Science and Engineering on or before 30 July, 2017. 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 http://www.igi-global.com/journals/guidelines-for-submission.aspx. 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:
Dr. A. Jayanthiladevi
Guest Editor
International Journal of Grid and High Performance Computing
E-mail: jayanthilamca@gmail.com

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