Dew Computing in Sustainable 5G Wireless Communication: A Paradigm for Scalability and Efficiency
Panel Lead/Moderator: Prof. (Dr.) Debashis De
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Contact: Centre for Mobile Cloud Computing, Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, West Bengal, Kolkata-700064, WB, India. Email: dr.debashis.de@ieee.org
Panelists: Prof. (Dr.) Yingwei Wang
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Contact: School of Mathematical and Computational Sciences, The University of Prince Edward Island, Charlottetown, Canada. Email: ywang@upei.ca
Panelists: Prof. (Dr.) Karolj Skala
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Contact: Centre for Informatics and Computing, Ruđer Bošković Institute, Zagreb, Croatia. Email: skala@irb.hr
Panelists: Prof. (Dr.) Marjan Gushev
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Contact: Faculty of Information Sciences and Computer Engineering, SS Cyril and Methodius University, Skopje, N. Macedonia. Email: marjan.gushev@finki.ukim.mk
Panelists: Dr. Debadrita Panda
Contact: Department of Social Sciences, Technology, and Arts, Luleå University of Technology, Luleå, Sweden. Email: debadritapanda1@gmail.com
Panelists: Dr. Samarjit Roy
Contact: School of Computing and Information Technology, Eastern International University, Thủ Dầu Một City, Bình Dương Province, Vietnam. Department of Computer Science and Engineering, SurTech, Kolkata, WB, India. Email: samarjit.roy@ieee.org
Panelists: Dr. Samir Maity
Contact: Department of Materials and Production, Operations, Research Group, Aalborg University, Aalborg, 9220, Denmark. Email: samirm@mp.aau.dk
As 5G networks continue to evolve and expand, the integration of dew computing principles holds the promise of unlocking new possibilities for applications in areas such as autonomous vehicles, smart cities, healthcare, and industrial automation.
This abstract underscores the significance of adopting dew computing as a complementary paradigm within 5G wireless communication to address the evolving requirements of the digital age efficiently and effectively. Collaboration among researchers, industry experts, and policymakers is crucial to harness the potential of dew computing in 5G networks fully.
Dew computing in sustainable 5G wireless communication is an emerging concept that combines the principles of dew computing with the goals of making 5G networks more environmentally friendly and sustainable. Let's break down these two concepts and explore how they intersect:
(a) Dew computing is a paradigm in cloud computing that focuses on distributing computing resources closer to the data source or edge devices rather than centralizing them in large data centers. It aims to bring computing power closer to where it is needed, reducing latency, improving efficiency, and conserving energy.
(b) Sustainable 5G Wireless Communication: 5G, the fifth generation of wireless communication technology, promises significantly higher data rates, lower latency, and more efficient network management compared to its predecessors. However, 5G networks can also be energy-intensive and pose environmental challenges, particularly if not designed and managed sustainably.
Now, let's explore how dew computing can contribute to sustainable 5G wireless communication:
(1) Edge Computing: Dew computing principles can be applied to create edge computing nodes within the 5G network infrastructure. These edge nodes can process data locally, reducing the need to transmit data back to centralized data centers. This not only lowers latency for applications but also reduces the energy consumption associated with data transmission over long distances.
(2) Energy Efficiency: By distributing computing resources at the edge of the 5G network, energy efficiency can be improved. Data centers are often power-hungry, and reducing the need for their operation by handling processing tasks locally can contribute to sustainability.
(3) Decentralized Data Processing: Dew computing decentralizes data processing across a network of edge nodes, fog nodes, and even end-user devices. This approach reduces the burden on centralized cloud servers, mitigating latency concerns and improving the responsiveness of 5G applications.
(4) Reduced Data Transfer: Dew computing can help reduce the amount of data that needs to be transmitted over the 5G network. This can be particularly important in scenarios where large volumes of data are generated but only a fraction of it needs to be sent to the cloud or data center. Minimizing unnecessary data transfers can save energy and reduce the environmental impact of data transmission.
(5) Latency Reduction: Dew computing at the edge of the 5G network can significantly reduce latency, making real-time applications like autonomous vehicles, telemedicine, and augmented reality more reliable and responsive. This can have positive sustainability implications in various industries.
(6) Scalability: Dew computing can provide a scalable infrastructure for 5G networks, allowing them to handle increasing data loads and device connections while remaining efficient and sustainable. 5G networks are expected to accommodate an ever-growing number of IoT devices and applications. Dew computing's decentralized nature facilitates seamless scalability, ensuring that the network can handle increasing data volumes without significant performance degradation.
(7) Resilience: Dew computing enhances network resilience by reducing single points of failure. In the event of network disruptions or failures, dew nodes can continue to process data locally, ensuring uninterrupted service availability.
(8) Data Privacy and Security: Data can be processed and analyzed closer to its source, reducing the need for extensive data transmission, which can enhance data privacy and security in compliance with regulatory requirements.
In summary, dew computing in sustainable 5G wireless communication can help address some of the energy and latency challenges associated with 5G networks. By bringing computation closer to the data source and processing data locally at the edge, this approach can contribute to a more environmentally friendly and efficient 5G ecosystem, supporting the broader goals of sustainability in telecommunications.
Panel duration: (Total 90 minutes: 60 min discussion, Total 30 min Q&A encouraged as interspaced)
Timeline for expert discussion: 50 minutes
Moderator time: 10 Minutes
Q & A for audience: 30 Min (encouraged as interspaced between discussions as well as toward the end)
