[hpc-announce] Mobile edge computing - Call for Book Chapters

[Rajkumar Buyya]

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              Mobile edge computing

   Publisher: Springer

               Call for Book Chapters
https://easychair.org/cfp/MOBILEEDGECOMPUTING2020
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Introduction:
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.

Objectives:
The primary objective of this book is to discuss the overview of mobile 
edge and cloud computing along with its real time applications. This 
book also aims to focus on the use of adapted machine learning 
algorithms for intelligent mobile edge computing. This book will explore 
the state-of-the art in mobile edge computing with emphasis on:
•	Architecture
•	Algorithms
•	Applications
•	Intelligence
It is expected that the book will serve as a reference for larger 
audience such as system architects, practitioners, developers, new 
researchers and graduate level students.

Topics of Interest:
The topics for potential chapters include, but are not limited, to:
1.	MEC architectures:
•	MEC: An introduction
•	Architecture of MEC
•	Multi-tier mobile network and MEC
•	IoT integration with MEC
•	Integration of machine learning with MEC for Intelligent edge computing
•	Communication Protocols for Intelligent MEC

2.	MEC Solutions and Enablers:
•	User mobility analytics in MEC
•	Mobility based resource allocation in MEC
•	Programming models and Toolkits of MEC
•	Dew computing for MEC
•	Energy optimization/ Green MEC
•	Load balancing in MEC
•	Pricing and billing of MEC

3.	Security, privacy and trust in MEC
•	Reliability in MEC service
•	Robustness and reliability challenges
•	Openness versus security
•	MEC privacy challenges and solutions
•	Security and identity management
•	Trust management
•	Management policies
•	Light-weight cryptography solutions
•	Legal issues in Fog/Edge clouds

4.	Data management in MEC
•	Data flow in MEC
•	Data analytics
•	Real-time streaming data processing
•	Knowledge discovery
•	Data visualization of IoT data
•	Lightweight data structures
•	 Data storage and data-centric solutions

5.	Real time applications of MEC:
•	Smart Home
•	Smart Grid
•	Smart Health
•	Smart Cities
•	Smart agriculture
•	Smart Government
•	Smart Industrial Environments
•	Industry 4.0
•	Augmented reality and MEC
•	Video analytics in MEC

Important Dates (Proposed):
Chapter Proposal: You are invited to submit a 1-2 pages proposal 
describing the topic of your chapter. The proposal should include the 
chapter organization, anticipated number of pages of the final 
manuscript and brief biography of authors.  We plan to follow the 
timeline given below:

Abstract submission: 15th Feb, 2020
First Decision:  28 Feb, 2020
Full chapter submission: 30th April, 2020
Final acceptance notification: 31st July, 2020
Submission of final (camera ready) chapters: 30th September, 2020
Expected publication: December 2020

Early submission is highly appreciated, as the editors would like to 
have progressive dialogue and work with prospective authors to bring out 
a book of wide appeal.
If we receive more than one proposal for a chapter on the same topic, 
the editors may request authors to collaborate to develop an integrated 
chapter.

Manuscript Submission:
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 15-30 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 MS-Word template for preparing the chapter(s) (Single column, Times 
New Roman font 12pt).
Submission link: 
https://easychair.org/conferences/?conf=mobileedgecomputing2

Publisher:
We are in discussion with some of the international publishers (e.g., 
Springer/Wiley/
Elsevier). We expect to finalise the publisher soon.


Editors:
Dr. Anwesha Mukherjee
Assistant Professor, Department of Computer Science,
Mahishadal Raj College (Vidyasagar University),
Garh Kamalpur, West Bengal 721628, India.
anweshamukherjee2011 at gmail.com

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.
dr.debashis.de at ieee.org

Prof. Soumya K. Ghosh
Professor,
Department of Computer Science and Engineering,
Indian Institute of Technology Kharagpur,
West Bengal 721302, India.
skg at cse.iitkgp.ac.in

Prof. Rajkumar Buyya
Redmond Barry Distinguished Professor and Director,
Cloud Computing and Distributed Systems (CLOUDS) Laboratory,
University of Melbourne, Australia.
rbuyya at unimelb.edu.au

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