Introduction

The transition to a ‘green’ economy poses many challenges, however also opens significant opportunities for economic development in developed and developing countries. Through innovation in low-carbon technologies, countries can capture economic value ‘at home’ through entrepreneurship, job creation and new venture development. These development goals can be simultaneously pursued while securing energy independence and mitigating the effects of climate change as developing countries play a crucial role in catalyzing and deploying the clean technology innovations of the future.

Green Computing is nowadays one of the major challenges for most IT organizations that involve medium and large scale distributed infrastructures like Grids, Clouds and Clusters. This book will focus on solutions for all aspects of green computing such as energy efficiency, carbon footprint reduction and cooling management. The tradeoffs between energy efficiency and performance have become key challenges that must be addressed in both, distributed and traditional performance-oriented infrastructures. Particularly relevant is the so-called Smart Grid technology, seeking to optimize distributed electricity generation, especially from renewable sources, and to promote the use of smart devices (including smart home and new vehicular energy approaches) that require further research on distributed communications, energy storage and integrations of various sources of energy. This book gives a complete guide on the fundamental concepts, applications, algorithms, protocols , new trend and challenges and research results in the area of Green Information and Communication Systems. It is an invaluable resource giving knowledge on the core and specialized issues in the field, making it highly suitable for both the new and experienced researcher in this field.

Recommended Topics

PART 1: SMART CITIES

• Smart City Business Models
• Human Smart Cities
• Intelligent Transport Systems and Traffic Management
• e-Mobility
• e-Work and e-Business Applications
• Supporting the Ageing Population
• User-Centred and Participatory Design of Services and Systems for Smart Cities
• Innovation Labs, Experimental Test-Beds and Simulation Environments
• Mechanisms for Motivating Behaviour Change
• Internet-Enabled Infrastructures and Services
• Service Innovation and Design to Support Smart Cities
• Cloud Computing and Service Models for Smart City Solutions
• Smart Sensor-Based Networks and Applications
• Analytics for Smart Cities
• IS Architecture Designs and Platforms for Smart Cities
• Case Studies and Innovative Applications for Smart(er) Cities
• Planning and Design Challenges for Smart Cities
• Frameworks and models for Smart City Initiatives

PART 2: ENERGY-AWARE SYSTEMS AND TECHNOLOGIES

• Architectures for Smart Grids
• Smart Grid Security and Reliability
• Load Balancing in Smart Grids
• Energy Management Systems (EMS)
• Economic Models of Energy Efficiency
• Energy Monitoring
• Renewable Energy Resources
• Greener Systems Planning and Design
• Virtualization for Reducing Power Consumption
• Virtual Power Plants
• Evolutionary Algorithms in Energy Applications
• Scheduling and Switching Power Supplies
• Energy Profiling and Measurement
• Harvesting Energy
• Energy-Aware Process Optimisation
• Optimization Techniques for Efficient Energy Consumption
• Microgeneration
• Energy Storage

PART 3: SUSTAINABLE COMPUTING AND COMMUNICATIONS

• Wireless Systems and Networks
• Security and Privacy
• Wearable Computing
• Green Data Centers
• Algorithms for Reduced Power, Energy and Heat
• Ecological monitoring, analytics and visualization
• Green Communications Architectures and Frameworks
• Qos and Green Computing
• Integration of Smart Appliances
• Embedded Sensor Networks
• Pervasive Embedded Systems
• Smart Homes (Domotics)
• Educational Ecosystems
• Green Computing and Education
• Case Studies on Green Computing and Communications
• Interoperability
• Energy Efficient Network Hardware
• Energy-Efficient Communication Protocols
• Low power Communication Technologies
• Green Software Engineering Methodologies and Tools
• Virtualization Impact for Green Computing
• Green Computing Models, Methodologies and Paradigms

PART 4: CASE STUDY

• Case Study on Green Computing and Communications
• Case Study on Sustainable Computing and Communications
• Case Study on Energy Aware Systems and Technologies
• Case Study on Green Study

Submission Procedure

Interested contributors must submit the tentative title of the chapter along with powerful abstract in a single page with full list of authors before Nov 25th, 2019. The contributors will be notified about the acceptance of the abstract based on the editors review assessment.

Researchers and practitioners are invited to submit their high quality full chapter through Easy Chair https://easychair.org/conferences/?conf=gicssf2020 or directly e-mail to rajshree.srivastava27@gmail.com, dr.skautish@gmail.com, rajeev.tiwari@ddn.upes.ac.in on or before Dec 20th, 2019.

All submissions must be original and should not be under review by another publication. Submitted chapters will be refereed by at least two independent and expert reviewers for quality, correctness, originality, and relevance. Authors should make sure that their submission has 12% or lower similarity as per iThenticate or Turnitin.

Submission Guidelines

1. Font size should be times new roman font size 10.

2. Image should be sent separately in format of tif.

3. Plag should be less than 12 % duly checked by the turnitin/ithenticate. Please do use any else software for checking.

4. Length of the chapter must be approx 20.

Important Dates:

Abstract submission -25th Nov 2019

Selection notifications - 2nd Dec 2019

Full submission - 20th Dec 2019

Author notification-20th Jan 2020

Publisher

This publication is anticipated to be released in April 2020.

Inquiries

For any inquiry please mail to rajshree.srivastava27@gmail.com , dr.skautish@gmail.com, rajeev.tiwari@ddn.upes.ac.in

Editors

1. Rajshree Srivastava, Assistant Professor, Department of Computer Science and Engineering, DIT University, Dehradun, India, Email ID: rajshree.srivastava27@gmail.com
2. Prof. Dr. Sandeep Kautish, Professor, LBEF Campus, Kathmandu, Email: dr.skautish@gmail.com
3. Prof. Dr. Rajeev Tiwari, Professor , Department of CSE, UPES, India, Email ID: rajeev.tiwari@ddn.upes.ac.in