CFP

Mobile Edge Computing 2020: Mobile edge computing

Submission link

https://easychair.org/conferences/?conf=mobileedgecomputing2

About Mobile Edge Computing

Mobile phone has become necessary commodity in our daily life. With the advancement in Wireless Network, the number of mobile phone users has been drastically increased. Moreover mobile phone usage is not limited within voice call and SMS service, but also has become a most popular equipment of accessing Internet anytime anywhere. Different mobile apps are nowadays available for online shopping, health monitoring, playing game, watching video etc. Fifth generation mobile network aims to use multi-tier heterogeneous cellular network integrated with cloud computing to provide users latency and energy-aware service. However, for ultra-low latency and high bandwidth real time access edge/fog computing comes into the scenario. In edge/fog computing the intermediate devices between end users and cloud participate in processing and storage of data as well as execution of applications. Mobile edge computing (MEC) provides the cloud computing services at the edge of mobile network, which facilitates the developers, service providers as well as the users. In MEC the operators can open their Radio Access Network edge to the authorized third parties in order to provide rapid and flexible deployment of interactive services and applications for the users. Computations are performed usually at the local network edge in edge computing instead of putting it to the remote cloud, that in turn reduces the latency. MEC can become a principal element for the following domains:

Video analytics
Location based service provisioning
Internet of Things (IoT)
Content distribution
Data caching
Augmented reality

Through the deployment of various services and caching content at the network edge, mobile core networks are lighten of further congestion and can efficiently serve local purposes. MEC can be applied in various domains such as microservices, Internet of Things (IoT) etc. IoT has become a principle component to design smart technological solutions for our daily life, for example, smart home, smart city, smart healthcare, smart retail etc. IoT is usually based on Wireless Sensor Network (WSN) that is used for monitoring activities of different objects is well accepted. However, it is bound in a small area. Cloud computing has been integrated with WSN to process and store the collected sensor data inside the cloud servers. For low latency and high bandwidth services, edge computing assisted IoT has become the pillar for the development of smart home, smart health, smart traffic management, smart city etc. Mobile edge computing with IoT can improve the service quality of the existing smart solutions through the mobility analysis of users, trajectory analysis, user movement pattern based resource allocation etc. However, the IoT based mobile edge and cloud computing can face several challenges also such as latency and energy optimization, resource utilization, reliability management, security and privacy, pricing and billing, trust management etc. Artificial Intelligence can play an important role to deal with these issues through the deployment of machine learning algorithms. Nevertheless, conventional machine learning methods are applied in resourceful cloud computing platforms, whereas edge devices have limited computing and communication resources. Hence, integration of machine learning with edge computing is also a challenge. However, adapted deployment of machine learning algorithms can empower edge computing to improve the service quality.

This book will discuss the overview of mobile edge and cloud computing along with its real time applications along with use of adapted machine learning algorithms for intelligent MEC. This book will focus on mobile edge computing with emphasis on:

Architecture
Algorithms
Applications
Intelligence

The topics interest includes but not limited to.

MEC: An introduction
Architecture of MEC
User mobility analytics in MEC
Mobility based resource allocation in MEC
Multi-tier mobile network and MEC
Security, privacy and trust in MEC
Reliability in MEC service
Dew computing for MEC
Data flow in MEC
Energy optimization/ Green MEC
Load balancing in MEC
Pricing and billing of MEC
Real time applications of MEC
Programming models and Toolkits of MEC
Augmented reality and MEC
IoT integration with MEC
Video analytics in MEC
Integration of machine learning with MEC for Intelligent edge computing
Communication Protocols for Intelligent MEC
Data management and analytics in Intelligent MEC

Book Editors

Dr. Anwesha Mukherjee

Assistant Professor, Department of Computer Science,

Mahishadal Raj College (Vidyasagar University),

Garh Kamalpur, West Bengal 721628, India.

Prof. Debashis De

Professor and Director,

Department of Computer Science and Engineering,

Maulana Abul Kalam Azad University of Technology,

BF-142, Sector-I, Salt Lake, Kolkata-700064, India.

Prof. Soumya K. Ghosh

Professor,

Department of Computer Science and Engineering,

Indian Institute of Technology Kharagpur,

West Bengal 721302, India.

Prof. Rajkumar Buyya

Redmond Barry Distinguished Professor and Director,

Cloud Computing and Distributed Systems (CLOUDS) Laboratory,

University of Melbourne, Australia.

Important Dates

Abstract submission: 15^th February, 2020

First Decision: 25^th February, 2020

Full chapter submission: 31^st May, 2020

Final acceptance notification: 31^st July, 2020

Submission of final (camera ready) chapters: 30^th Sep, 2020

Expected publication: Dec 2020

Author Guidelines

Prospective authors are invited to submit original, high quality, unpublished chapters using Easy Chair submission system. Submitted manuscripts will be refereed by at least two expert reviewers. The accepted chapters will be published in the edited book. For preparing your chapter(s), please, consider the following points:

No publication charge is applicable.
Each book chapter should have 10-25 pages.
Each chapter should be complete and self-contained.
Abstract of each chapter should have approximately 100-150 words and a list of 5-10 keywords.

Use Latex or MS-Word template for preparing the chapter(s). Follow the Springer format (applied).

Contact

buyyaclud@gmail.com

For other details please visit: https://sites.google.com/view/mobile-edge-computing-2020/home?authuser=1