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


Special Issue On: Cloud Grid Stream Data Mining for E-Business Applications

Submission Due Date
6/25/2022

Guest Editors
Dr. Malik Bader Alazzam, Amman Arab University, Jordan
Dr. Abdulsattar Abdullah Hamad, Tikrit University - Imam University College, Iraq
Dr. Azam Abdelhakeem Khalid Ahmed, Universiti Pendidikan Sultan Idris, Malaysia

Introduction
The rapid growth of ICT and the evolution of the internet in the past several years have brought tremendous innovations in the business and marketing environment. E-business or digital business allows companies to sell goods and services to national or international markets via the internet. Data mining is the process of extracting potentially meaningful information from a vast amount of data which may include structured or unstructured data sources. Discovering knowledge out of large volumes of data is highly difficult with limited resources. Hence, cloud-based data mining has become crucial for e-business operations to make better decisions, better understand customers, and improve customer acquisition, which led to a competitive advantage. Cloud computing provides virtual resources in terms of storage, platform, software, and infrastructure according to the modern business requirement instead of owning a physical data warehouse for data processing. It provides a flexible and global way of accessing their information from anywhere and anytime. As such, it helps businesses to reach more consumers in a much broader global market.

Objective
Grid computing emerges as an essential field of distributed computational models that mainly focuses on high-performance-oriented data processing for large-scale business applications. Since grid computing provides high availability of resources or services, it helps deal with the most complex real-time problems. Grid-based clustering and classifications can significantly be reducing data communication and synchronization steps which are extremely important for distributed data-intensive applications. As a result, grid-based data mining is the most suitable for handling a large amount of data with greater execution efficiency due to its fast processing time. On the other hand, there is a growing need for developing novel algorithms, tools, and services to facilitate the seamless integration of these distributed resources. However, privacy and security implications may arise due to data's spread and heterogeneous nature. However, conventional data mining techniques are not feasible to mine or store the continuous data streams due to their different characteristics such as tremendous volume, steady flow with varying update rates, high dimensional, and fast-changing. Hence, data stream mining is the process of discovering frequent patterns from continuous data streams, including video surveillance systems, online business transactions, real-time data analysis, and social network analysis. At the same time, most of the stream mining algorithms are designed to read-only once or a limited number of times due to limited storage, computing capabilities, and limited processing time.

This special issue highlights the importance of cloud, grid, and stream-based data mining in the distributed e-business environment. It also summarizes the challenges in existing data mining frameworks, platforms, and algorithms. In conclusion, data mining techniques are still evolving and developing. Furthermore, it is essential to create more distributed and parallel algorithms for mining large and high-dimensional complex data sets. We welcome researchers and practitioners to present their novel contributions in this regard.

Recommended Topics
• Knowledge Discovery and Data Mining for business intelligence.
• Traditional data mining techniques for extracting patterns in e-business applications.
• Data mining based cloud computing: Benefits and challenges.
• Grid-based distributed data mining applications: A systematic review.
• Recent advances in distributed and parallel knowledge discovery.
• Mining large data sets based on grids: Issues and prospects.
• Multi-dimensional regression analysis of time-changing data streams: Challenges and benefits.
• Towards effective and efficient distributed clustering on grid computing.
• Developing distributed fault-tolerant workflow management for grid computing.
• Fast streaming broadcast data algorithms for high-quality clustering.
• Novel algorithms, concepts and frameworks in data stream mining with soft computing techniques.
• Dynamic dimension reduction and feature selection algorithms for stream mining.
• Role of Machine learning concepts in data stream mining of real-time business applications.

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Cloud Grid Stream Data Mining for E-Business Applications on or before June 25th, 2022. 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 inquiries should be directed to the attention of:
Dr. Malik Bader Alazzam
Dr. Abdulsattar Abdullah Hamad
Dr. Azam Abdelhakeem Khalid Ahmed
Guest Editors
International Journal of Grid and High Performance Computing (IJGHPC)
Email: mbhalazzam@gmail.com; satar198700@gmail.com; azamabdelhakeem@fpe.upsi.edu.my

Special Issue On: Advanced Edge/Cloud Computing Architectures for Immersive Multimedia

Submission Due Date
8/25/2022

Guest Editors
Muhammad Attique Khan, HITEC University, Pakistan
Seifedine Kadry, Noroff University College, Norway
Gaurav Dhiman, Government Bikram College of Commerce, India
Imran Razzak, Deakin University, Australia

Introduction
In recent decades, the advances in modern computing technologies have been highly associated with the promise of new innovative digital services and applications, paving the way for smart hyper-connected life. These new innovative technologies enable exciting audio and video visual experiences to the end-users, which makes them feel involved in that environment. As a result, digital media is undergoing rapid transformation, and users are increasingly shifting towards video-on-demand streaming services. It typically changes how the human interacts with the world. Consequently, media consumption behaviour is also changing, and every day a massive amount of digital data is generated, as video sources are prevalently watched anytime anywhere from the smart devices. The emergence of immersive media applications that introduce new interactive experiences to the end-users based on virtual and augmented reality techniques imposes several challenges on traditional passive media consumption. Further, it significantly expands its scope from entertainment to communication and has become the more environment-friendly and safe way to connect with people. Most importantly, these immersive multimedia further inspires the researchers to develop new services, products, and business models towards the visual computing market, creating the requirements for advanced edge/cloud computing architectures.

Many people perceive cloud computing as an ever-expanding storage facility where the users can store and access the data with ease. However, in recent times, cloud computing has taken much more dynamic functionality with the advances in technology and provides innovative services to real-time applications. Cloud computing architecture adds mobility, flexibility, and connectivity to the rapidly growing immersive multimedia. It typically reduces the cost and increases the adaptability of immersive multimedia applications. Further, virtual and augmented reality advancements enhance the features of multimedia applications with cloud computing infrastructures. Yet, the cloud computing platform requires significant bandwidth to transfer the data from the customer premise to the cloud server and back. This significantly increases the latency of real-time computation. This is where exactly edge computing can make a difference. It empowers the cloud-enabled immersive multimedia applications with ultra-low latency and high-quality solutions to the end-users. On the other hand, the advent of 5G and beyond networks will enable the next wave of immersive multimedia applications.

Objective
Finding the advanced cloud and edge computing architectures for immersive multimedia will provide the ability to support a massively expanding scope of multimedia applications while enhancing the speed, reliability, and latency of consumer devices and applications. This special issue intends to bring out advanced cloud/edge computing architectures to explore more regarding the emerging immersive multimedia applications and services.

Recommended Topics
  • advanced cloud/edge computing architectures
  • emerging immersive multimedia applications and services
  • modern computing technologies
  • innovative digital services and applications
  • smart hyper-connected life
  • video-on-demand streaming services
  • media consumption paradigm shift
  • digital media paradigm shift
  • new interactive experiences for end users
  • virtual and augmented reality techniques
  • development of new services, products and business models
  • visual computing market
  • cloud computing
  • dynamic functionality of cloud computing
  • real-time applications
  • data transferring
  • 5G and beyond networks
  • expansion of the scope of multimedia applications
  • enhancement of speed, reliability, and latency of consumer devices and applications


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Advanced Edge/Cloud Computing Architectures for Immersive Multimedia on or before August 25th, 2022. 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 inquiries should be directed to the attention of:
Muhammad Attique Khan
Seifedine Kadry
Gaurav Dhiman
Imran Razzak
Guest Editors
International Journal of Grid and High Performance Computing (IJGHPC)
Email: attique.khan@ieee.org; seifedine.kadry@noroff.no; gaurav.dhiman@thapar.edu; imran.razzak@deakin.edu.au

Special Issue On: Utilization of Energy Storage Systems in Smart Grids

Submission Due Date
8/31/2022

Guest Editors
Zhenling Liu, Henan University of Technology, China
Georgios C. Christoforidis, University of Western Macedonia, Greece

Introduction
Energy forms the key sources for various economic, environmental and developmental issues in today’s world. Faced with the increasing pressure of climate change, the coming decades will witness the transformative changes of global energy sector. Sustainable development of energy resources is an active area of research. However, the energy demand nowadays is extremely large and it is highly complex to meet the emerging demands with sustainable energy sources. Therefore, Energy Storage System (ESS) becomes more and more significant, which is an integral part of modern smart grids and energy systems.

The application of ESS is one of the most prevalent in the area of energy systems. ESS has been identified as a possible solution to tackle the challenges of the modern electric power system and other energy systems. It closely relates to present-day society, for people become more and more concerned with smart energy grid balancing and green energy production. All these smart and green solutions play crucial roles in improving the efficiency and resilience of power systems.

Deployment of energy storage system is expected to increase grid stability and renewable energy utilization. Energy storage technology supported by smart tools provide new possibilities for the sustainable utilization of renewable energy in various industries. Sustainable energy systems can be implemented in smart environments, such as intelligent transportation and smart cities, by using advanced technologies such as AI and ML, IoT and cloud systems.

Objective
This proposed special issue aims at collecting new results in the advancement in energy storage technologies, their applications and roles in the modern power systems/energy systems comprised of conventional as well as renewable generating sources. Potential topics of interest include, but are not limited, to the following:

Recommended Topics
1. Sustainability assessment of energy storage technologies
2. Empowering smart grid: Recent advancements in energy storage technologies
3. Application of artificial intelligence and machine learning in energy storage of power system
4. Reliable power distribution in smart grids
5. Hybrid Energy Storage Systems: concepts, advantages, and applications
6. IoT-based energy storage in electrical vehicles
7. IoT and cloud systems for Energy Storage System monitoring and control
8. AI/ML empower sustainable energy technologies for sustainable smart city
9. Development and policy of sustainable energy empower smart transportation
10. Emerging technologies of renewable energy for the production of sustainable energy
11. Role of renewable energy in improving the efficiency of energy systems
12. Renewable energy generation forecast based on artificial intelligence (AI) and big data technology
13. Research and development of mobile energy storage equipment in quick response to emergencies

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Utilization of Energy Storage Systems in Smart Grids on or before August 31st, 2022. 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 inquiries should be directed to the attention of:
Zhenling Liu
Georgios C. Christoforidis
Guest Editors
International Journal of Grid and High Performance Computing (IJGHPC)
Email: liuzlhaut@gmail.com; gchristoforidis@uowm.gr

Special Issue On: High Performance Computing for Big Data

Submission Due Date
9/10/2022

Guest Editors
Weipeng Jing, Northeast Forestry University, China
Rafał Scherer, Czestochowa University of Technology, Poland
Jian Wang, Aerospace Information Research Institute, China
Fedotov Alexander, Peter the Great St. Petersburg Polytechnic University, Russian Federation

Introduction
In the past two decades, data processing has taken place in supercomputing centers and in the cloud. The advent of 5G, with the consequent increase in volume and data speed, and the growing diffusion of neural accelerators is somehow inverting the trend, pushing computing power close to data sources. This is due to the increasing need to build smarter real-time applications for manufacturing, energy, automotive, aerospace, logistics, smart cities, healthcare, and computational sciences.

Objective
The many ways that High Performance Computing can be delivered for facing Big Data challenges offer a wide spectrum of research opportunities. From FPGAs to cloud computing, technologies and algorithms can be brought to a whole different level and foster incredible insights from massive information repositories.

Recommended Topics
The papers accepted for publication of the present Special Issue will cover both fundamental issues and new concepts related to the application of High Performance Computing to the Big Data area.
The topics include, but they are not limited to:
  • Cloud computing and services
  • Resource virtualization, including container and virtual machines
  • Resource management and scheduling
  • High-performance computing and runtime environment
  • Performance modeling, analysis, and optimization
  • Emerging applications and technologies for high-performance computing and cloud computing
  • Hybrid cloud architectures, such as edge computing, geo-distributed clouds and hybrid clouds


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on High Performance Computing for Big Data on or before September 10th, 2022. 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 inquiries should be directed to the attention of:
Weipeng Jing
Rafał Scherer
Jian Wang
Fedotov Alexander
Guest Editors
International Journal of Grid and High Performance Computing (IJGHPC)
Email: jwp@nefu.edu.cn; rafal.scherer@pcz.pl; jwang@aircas.ac.cn; afedotov@spbstu.ru