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


Special Issue On: High Performance Computing for Machine Learning

Submission Due Date
8/15/2018

Guest Editors
Dr. Uma Mohan
uma.mohan@lsclondon.co.uk
London School of Commerce Chaucer House,
White Hart Yard, London SE1 1NX, United Kingdom

Dr. Shamik Tiwari
drshamiktiwari@gmail.com
School of Computer Science
University of Petroleum & Energy studies, Dehradun, India

Dr. Luxmi Sapra
luxmi.verma@gmail.com
Faculty of Computer Applications
Uttaranchal University, Dehradun, India

Introduction
The scope of special issue is to provide an opportunity to researchers for publishing novel approaches, in the field of high performance computing and machine learning. Machine Learning has been used widely for solving complex problems because of its capability to learn, adapt new circumstances and to detect and infer patterns. Researchers are extensively using Machine Learning in a wide range of critical applications, such as medical diagnosis, natural language processing, pattern recognition, signal processing and expert systems. High Performance Computing refers to the aggregated computing power that provides much higher performance for computing data-intensive tasks as compared to standard workstations.

Objective
The aim is to highlight the recent developments in high performance computing, machine learning tools, techniques and applications and also to explore and discuss emerging cross-disciplinary themes. With the fast growth in computing and communications technology, High-performance computing (HPC) for machine learning are gaining attention.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:
• Cloud computing applications in machine learning
• Grid computing for machine learning
• GPU for deep learning
• Data Mining for knowledge discovery
• Pattern Recognition
• Big data analytics and data science
• Granular computing and case based reasoning
• Parallel and distributed computing
• Medical Imaging and health informatics
• Information retrieval and extraction
• Social media analytics
• Natural language processing using deep learning
• Cluster computing
• Green data centers for machine learning
• High performance modeling and simulation
• Energy efficient computing infrastructure
• Next generation computing technologies for machine learning

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue High Performance Computing for Machine Learning on or before 15 August 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 http://www.igi-global.com/publish/contributor-resources/before-you-write/. 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. Shamik Tiwari
Guest Editor

E-mail: drshamiktiwari@gmail.com

Special Issue On: Recent Developments in Performance and Security in Cloud Computing

Submission Due Date
10/31/2018

Guest Editors
Prof. (Dr.) Amit Agarwal, University of Petroleum & Energy Studies, Dehradun, India
Prof. (Dr.) Ramin Yahyapour, Managing director, Gesellschaft für Wissenschaftliche Datenverarbeitung mbh Göttingen, Göttingen, Germany
Prof. (Dr.) Ezendu Ariwa, Warwick University, United Kingdom
Dr. Anurag Jain, University of Petroleum & Energy Studies, Dehradun, India

Introduction
Cloud computing means IT related capabilities are provided as a service over internet which can be used anytime anywhere without human interaction. With the technological advancement, this is getting more and more popularity day by day. No of users accessing the cloud services, are increasing exponentially. Simultaneously, this has given birth to issues related to satisfaction of service level agreement, pricing model and data security and privacy while stored on cloud. Security and privacy issues are the major hurdle in widespread adoption of cloud.

Objective
Objective of this special issue is to highlight recent developments in performance and security of cloud paradigm. This will provide a platform to researchers from industry and academia to share their work, results and methodologies providing solution of present issues in the area of scheduling, load balancing, resource allocation, energy consumption, charging model, privacy, security and data management at cloud.

Recommended Topics
Topics to be covered in this special issue include (but are not limited to) the following:
• Cloud Computing and Applications
• Informatics Aspects in Cloud Computing
• Cloud Computing for Smart Word
• Cloud Sourcing Social Intelligence
• Performance, Availability and Scalability of Cloud services
• Mapping and Scheduling of Parallel and Real-Time Applications
• Load Balancing, Scheduling & Resource Management in Cloud Computing
• Energy Efficiency in Cloud Computing
• Fault Tolerance & Recovery in Cloud Computing
• Cloud Economic and Business Model
• Virtualization Platforms and Management of Virtual Appliances for Cloud
• Security Protocol and Architectures for Cloud Computing
• Access Control Mechanism for Cloud Computing
• Privacy Preserving Data Mining in Cloud
• Identity Management for Cloud Services
• Information Sharing and Data Protection in the Cloud
• Cryptographic Protocols Against Internal Attacks in Cloud
• Risk Management in Cloud Computing Environment
• Privacy Policy Framework and Protection for Cloud
• Mechanisms to Enforce Privacy and Trust in Cloud
• Energy/Cost/Efficiency of Security in Cloud
• Trust Models for Cloud Services

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Recent Developments in Performance and Security in Cloud Computing on or before 31-10-2018. 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 http://www.igi-global.com/publish/contributor-resources/before-you-write/. 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. Anurag Jain
Guest Editor
International Journal of Grid and High Performance Computing (IJGHPC)
anurag.jain@ddn.upes.ac.in

Special Issue On: Innovation in Information Technology Through Smart Cloud and Analytics

Submission Due Date
12/31/2018

Guest Editors
Dr. Ankur Dumka, UPES, India
Dr. Upasana Geetanjali Singh, University of KwaZulu Natal, - Westville, South africa
Dr. Gorachand Dutta, university of Bath, United Kingdom

Introduction
The special issue focused on advanced information technology system through grid and high performance computing. Advanced Information technology through grid and high performance computing focused on latest and new technologies that are updated technologies of the recent world where most of the research work is going on and which are up to date as per the market demand and requirements. A number of advanced technologies has been focused in this journals which includes technologies like Grid Computing, High Performance Computing (HPC), Computational intelligence, Big Data, Advanced Networking, Cloud Computing and others.

This special issue of the journal intends to be a major forum for scientists, engineers and practitioners interested in the study, analysis, design, modeling and implementation and solving of optimization problems, both theoretically and in a broad range of application fields. The journal special issue also aims to foster hybrid approaches within advanced information technology areas.

Objective
This special journal issue focuses on advanced information technologies through grid and high performance computing which include areas of Grid Computing, High Performance Computing (HPC), Computational intelligence, Big Data, Advanced Networking Artificial Intelligence, Cognitive Science, Decision Support System, Fuzzy logic, HCI, Evolutionary Computing, Natural language Processing, Semantic Web, Parallel and Distributed Networks, Wireless Sensor Networks, Software Defined Networks, Big Data Analytics, Image Processing and Pattern Recognition, Fault Tolerant System, Parallel and Distributed Computing, Symbolic Computing, Machine Learning Algorithm, Semantic Analysis, Internet of Things (IoT), E-Governance and Smart city. In this special issue, we seek for solutions and applications for advanced information technologies through grid and high performance computing in high novelty, as well as new visions of information technologies. The major goals of this special issue are to provide a snapshot of state-of-the-art techniques and applications for advanced information technologies.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:
• High Performance Computing (HPC)
• Grid Computing
• Artificial Intelligence
• Cognitive Science
• Decision Support System
• Fuzzy logic
• HCI
• Evolutionary Computing
• Natural language Processing
• Parallel and Distributed Networks
• Wireless Sensor Networks
• Software Defined Networks
• Big Data Analytics
• Parallel and Distributed Computing
• Machine Learning Algorithm
• Semantic Analysis
• Internet of Things (IoT)
• E-Governance and Smart City
• Computational Sustainablity

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Innovation in Information technology through smart cloud and analytics on or before 31/12/2018. 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 http://www.igi-global.com/publish/contributor-resources/before-you-write//. 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. Ankur Dumka
Dr. Upasana Geetanjali Singh
Dr. Gorachand Dutta

Guest Editor

International Journal of Grid and High Performance Computing (IJGHPC)
E-mail: ankurdumka2@gmail.com

Special Issue On: Parallel Deep Learning Programming Framework For Heterogeneous Architecture

Submission Due Date
1/31/2019

Guest Editors
Kaijian XIA
Wen SI
Yanglin WEI

Introduction
Deep learning plays an important role in machine learning field, and it has been widely used in various applications. The prospect of research and applications of deep learning are huge. However, deep learning also faces several challenges. Firstly, there are many tools in deep learning field, but these tools are not convenient to use for non‐expert users because the installation and usage of them are really complex. Secondly, the diversity of deep learning is limited because the flexibility of existing deep learning models is not enough. Furthermore, the training time of deep learning is so long that the optimal hyper‐parameters combination cannot be found in a short time. To solve these problems, we design a deep learning programming framework based on heterogeneous architecture in this paper. The programming framework establishes a unified module library which can be used to build a deep model through the visual interface conveniently. Besides, the framework also accelerates the basic modules on heterogeneous platform, and makes the speed of searching optimal hyper‐parameters combination be faster.

Objective
The special issue mainly focuses on depth learning for parallel programming framework. We are soliciting original contributions, of leading researchers and practitioners from academia as well as industry, which address a wide range of theoretical and application issues in deep learning for parallel programming framework.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:
• Parallel computing
• Isomeric architecture
• 3.Deep learning algorithm
• Programming framework
• GPU programming
• Linguistic foundations
• Software engineering aspects
• Pattern recognition
• Artificial intelligence
• Computer graphics image
• Network model optimization
• Computer simulation
• Bioinformatics
• Systems biology
• Image processing

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Parallel deep learning programming framework for heterogeneous architecture on or before 30 January, 2019. 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:
Kaijian XIA
Guest Editor
International Journal of Grid and High Performance Computing
E-mail: LB17060008@cumt.edu.cn