Chair: Brij B. Gupta, Asia University, Taiwan. bbgupta AT

Co-Chair: Priyanka Chaurasia, University of Ulster, UK, p.chaurasia AT

Co-Chair: Kwok Tai Chui, Hong Kong Metropolitan University (HKMU), Hong Kong, China, jktchui AT

Co=Chair: Chunsheng Zhu, Southern University of Science and Technology, China, chunsheng.tom.zhu AT GMAIL.COM

Co-Chair: Francesco Colace, University of Salerno, Italy, fcolace AT

Co-Chair: Wei Wei, Xi’an university of Technology, P. R. China, weiwei AT

Co-Chair: S. K. Singh, Indian Institute of Technology (BHU) Varanasi (IIT-BHU), India, sks.cse AT



Jinsong Wu, University of Chile, 8370451, Chile, wujs AT

Amiya Nayak, Professor, University of Ottawa, Canada, nayak AT

Francesco Palmieri, University of Selerno, Italy, fpalmieri AT

Andrew Ip, University of Saskatchewan, Canada, mfwhip AT

Dragan Peraković, University of Zagreb, Croatia, dperakovic AT

Michael Sheng, Macquarie University, Sydney, Australia, michael.sheng AT

Francisco José García-Peñalvo, University of Salamanca, Spain, fgarcia AT


Founding Members:

  1. Brij B. Gupta, Asia University, Taiwan
  2. Priyanka Chaurasia, University of Ulster, UK
  3. Kwok Tai Chui, Hong Kong Metropolitan University (HKMU), Hong Kong, China
  4. Chunsheng Zhu, Southern University of Science and Technology, China
  5. Francesco Colace, University of Salerno, Italy
  6. William Liu, Unitec, New Zealand
  7. Wei Wei, Xi’an university of Technology, P. R. China
  8. S. K. Singh, Indian Institute of Technology (BHU) Varanasi (IIT-BHU), India
  9. Jinsong Wu, University of Chile, Chile
  10. Amiya Nayak, University of Ottawa, Canada
  11. Francesco Palmieri, University of Selerno, Italy
  12. Andrew Ip, University of Saskatchewan, Canada
  13. Dragan Peraković, University of Zagreb, Croatia
  14. Michael Sheng, Macquarie University, Sydney, Australia
  15. Francisco José García-Peñalvo, University of Salamanca, Spain
  16. Arcangelo Castiglione, University of Salerno, Italy
  17. Chinthaka Premachandra, Shibaura Institute of Technology, Japan
  18. Sugam Sharma, Iowa State University, United States
  19. Wadee Alhalabi, Department of Computer Science, KAU, Saudi Arabia
  20. Vipindev Adat Vasudevan, Massachusetts Institute of Technology (MIT), USA
  21. Deepak Gupta, Founder and CEO, LoginRadius Inc., USA
  22. Chunjia Han, Birkbeck, University of London, UK
  23. Justin Zhang, University of North Florida, USA
  24. Mohammed Ali, University of Manchester, UK
  25. Gregorio Martinez Perez, University of Murcia (UMU), Spain
  26. Zhili Zhou, Nanjing University of Information Science and Technology, NUIST, China
  27. Sunil Kumar Singh, CCET, Panjab University, Chandigarh, India
  28. Zhiyong Zhang, Henan University of Science and Technology, China
  29. Ankit Kumar Jain, National Institute of Technology Kurukshetra, India
  30. Kostas Psannis, UoM, Thessaloniki, Greece
  31. Ajey Kumar, Symbiosis Centre for Information Technology (SCIT), Symbiosis International University, Pune, India
  32. Xiaojun Chang, Monash University Clayton Campus, Australia
  33. Manoj Gupta, SMVDU, Katra, Jammu and Kashmir, India
  34. Pethuru Raj, Vice President, Reliance Jio Infocomm. Ltd (RJIL), India
  35. Sachin Sharma, State Bank of India, India
  36. Marjan Kuchaki Rafsanjani, Shahid Bahonar University of Kerman, Kerman, Iran
  37. Mosiur Rahaman, Asia University, Taiwan
  38. Syed Taqi Ali, Visvesvaraya National Institute of Technology Nagpur, India
  39. Chun-Yuan Lin, Asia University, Taichung City, Taiwan
  40. Vijay Kumar, Anna University, Chennai, India
  41. Akshat Gaurav, Ronin Institute, Montclair, USA
  42. Domenico Santaniello, University of Salerno, Italy
  43. Konstantinos Psannis, University of Macedonia, Greece
  44. Mirjana Pejić Bach, University of Zagreb, Croatia
  45. Chi-Hua Chen, Fuzhou University, China
  46. Neeraj Kumar, Thapar University, Patiala, India
  47. Melody Moh, San Jose State University, USA
  48. Chang Choi, Gachon University, Republic of Korea
  49. Bambang Irawan, Esa Unggul University, Indonesia

Scope and Objective

The SIG on Green Big Data focuses on investigating the relations of green and sustainable development to big data and relevant systems. The exponential growth of data across various sectors presents unique challenges and opportunities for developing eco-friendly and energy-efficient big data solutions. This SIG will explore innovative ways to reduce the environmental impact of big data processing and storage, promote green and sustainable development via big data technologies.

A primary objective of this SIG is to pioneer energy-efficient data processing techniques. Recognizing the significant energy demands of big data operations, this goal focuses on minimizing the carbon footprint associated with such activities. Strategies may include optimizing data processing algorithms for lower energy consumption, innovating in data compression and storage methods to reduce energy usage, and developing more efficient data processing architectures.

The SIG aims to promote and develop sustainable practices in the design and operation of data centers. This involves the integration of renewable energy sources, the implementation of advanced cooling systems to reduce energy consumption, and the exploration of innovative building designs that minimize environmental impact. The goal is to create a blueprint for data centers that are both environmentally friendly and cost-effective.

Another key objective is to drive innovation in green computing technology. This includes the development of hardware and software solutions that are energy efficient, from eco-friendly hardware components to software algorithms designed for reduced power consumption. The SIG will also explore the recycling and repurposing of computing resources as a means to reduce electronic waste.

This SIG will focus on utilizing big data analytics for environmental monitoring and sustainability studies. By analyzing large datasets related to climate, pollution, resource consumption, and other environmental factors, the group aims to contribute valuable insights to climate change research and support the development of effective green policies and practices.

A vital objective is to establish and nurture collaborations between industries, academic institutions, and environmental organizations. These partnerships are essential for driving innovation, sharing best practices, and implementing green big data solutions on a wider scale. The SIG will serve as a platform for knowledge exchange and joint projects among these diverse stakeholders.

The SIG is committed to raising awareness and educating data professionals and the general public about the significance of green big data practices. By highlighting the environmental impacts of data operations and promoting sustainable practices, the group aims to foster a culture of environmental responsibility within the big data community. This includes organizing workshops, seminars, and educational campaigns to disseminate knowledge and encourage sustainable practices in big data operations. We will focus on but not limited to the following topics:

  • Greening big data
  • Big data toward green applications
  • Big data analytics for green IoT Systems
  • Optimizing green edge computing orchestration
  • Sustainable blockchain Applications
  • Eco-friendly cooperative computing with IoT devices
  • Ethical and sustainable management of smart device data
  • Green multi-agent systems at the edge
  • Game theory in green IoT and edge computing markets
  • Joint management of cloud and edge for sustainability
  • Energy efficiency in edge-assisted smart IoT systems
  • Energy harvesting for sustainable bid data systems and smart devices
  • Algorithm design for green edge-assisted smart systems
  • Security and privacy in sustainable IoT services
  • Sustainable multimedia services and management
  • Design and experimental evaluation of green IoT and edge Technologies
  • Educational Technologies integrating green big data systems


Need of SIG on Green Big Data

The establishment of a SIG on Green Big Data is essential for addressing the environmental challenges associated with big data technologies, fostering innovation in sustainable computing, and supporting the broader shift towards environmentally responsible practices in the tech industry.

  • Addressing the Environmental Impact of Big Data: The rapid expansion of big data technologies has led to a significant increase in energy consumption and carbon emissions, primarily due to the energy-intensive nature of data centers and computing infrastructures. This environmental impact is becoming increasingly concerning, as it contributes to global warming and other environmental issues. A SIG on Green Big Data is crucial for developing strategies and technologies that minimize the environmental footprint of big data operations. By focusing on eco-friendly practices and technologies, this SIG can play a pivotal role in ensuring that the advancements in big data are aligned with environmental sustainability.
  • Aligning with Sustainable Development Goals: In the current global context, where environmental awareness is more pronounced, industries are being urged to adopt sustainable development goals. A dedicated SIG on Green Big Data can guide the big data industry towards sustainable practices, ensuring that technological progress does not come at the expense of the environment. This alignment is essential not only for environmental preservation but also for the long-term viability of the industry.
  • Promoting Energy Efficiency and Cost Savings: Energy-efficient solutions are not only beneficial for the environment but also offer significant cost advantages to organizations. By reducing energy consumption, these solutions can lead to substantial operational cost savings. The SIG on Green Big Data can be instrumental in promoting and developing energy-efficient technologies and practices, making big data operations more economically and environmentally sustainable.
  • Fostering Innovation in Green Technologies: There is an urgent need for innovative solutions to address the environmental challenges posed by the proliferation of big data. The SIG on Green Big Data would serve as a platform for the research and development of such solutions, encouraging innovation in green technologies within the field. This focus on innovation is crucial for developing new methods and technologies that are both effective and environmentally friendly.
  • Ensuring Regulatory Compliance and Demonstrating Corporate Responsibility: As environmental regulations become more stringent, companies are increasingly required to demonstrate their commitment to reducing their carbon footprint and adopting environmentally friendly practices. The SIG can offer guidance and best practices to help organizations comply with these regulations, thereby reinforcing their corporate responsibility and commitment to environmental stewardship.
  • Raising Public Awareness and Education: There is a significant gap in public awareness and understanding of the environmental impacts of big data. The SIG can play an essential role in educational and outreach efforts, increasing awareness of these issues and promoting sustainable practices within the tech community and beyond. Educating professionals and the public about the importance of green big data practices is vital for fostering a culture of environmental responsibility in the industry.
  • Encouraging Interdisciplinary Collaboration: The intersection of big data and environmental sustainability presents complex challenges that require collaborative and interdisciplinary solutions. By bringing together experts from various fields such as computer science, environmental science, engineering, and policy-making, the SIG on Green Big Data can facilitate the development of holistic and effective solutions to these challenges.


Contribution to the Society

The establishment of a Special Interest Group (SIG) on Green Big Data would have several valuable benefits for society:

  • Environmental Protection and Sustainability: One of the most significant contributions of a Green Big Data SIG is its focus on reducing the environmental impact of big data technologies. By developing and promoting energy-efficient data processing methods, sustainable data center practices, and green computing technologies, this SIG can help mitigate the effects of climate change and promote environmental sustainability. These efforts contribute directly to the global goal of reducing carbon emissions and preserving natural resources, which is vital for the health and well-being of current and future generations.
  • Economic Benefits: Implementing green big data solutions can lead to significant cost savings for businesses and government agencies. Energy-efficient technologies and sustainable practices often result in lower operational costs, especially in terms of energy consumption. Over time, these savings can be substantial, contributing to the economic health of companies and, by extension, the broader economy.
  • Innovation and Job Creation: The push towards green big data technologies can stimulate innovation in multiple sectors, including IT, renewable energy, and environmental management. This innovation can lead to the creation of new jobs and industries, contributing to economic growth and providing new opportunities for workforce development. Additionally, the SIG can play a role in developing educational programs and training, preparing individuals for careers in these emerging fields.
  • Public Health and Quality of Life Improvements: Reducing the environmental impact of big data operations can have direct and indirect benefits for public health. For instance, minimizing energy consumption in data centers can reduce the reliance on fossil fuels, thereby decreasing air pollution and its associated health risks. Furthermore, the application of big data in environmental monitoring can provide critical insights into pollution, climate change, and resource management, which are crucial for protecting ecosystems and public health.
  • Enhanced Data Security and Privacy: With a focus on green big data, there is an opportunity to incorporate strong security and privacy measures as core components of sustainable data management practices. This ensures that as data usage grows, it does so in a way that respects individual privacy and enhances data security, which is increasingly important in a digital society.
  • Educational and Awareness Building: By focusing on green big data, the SIG can play a significant role in educating the public and professionals about the importance of sustainable practices in technology. This heightened awareness can lead to more informed decisions by consumers, businesses, and policymakers, fostering a culture that values and prioritizes sustainability.
  • Interdisciplinary Collaboration and Research: The challenges at the intersection of big data and environmental sustainability require solutions that span multiple disciplines. A Green Big Data SIG can facilitate collaboration among experts from different fields, leading to more comprehensive research, better understanding of complex issues, and more effective solutions.