[hpc-announce] [SLICE-2021] CFP: Smart Living with IoT, Cloud, and Edge - Submission Deadline: June 10, 2021

SLICE IIT Roorkee slice.iitr at gmail.com
Tue Jun 1 08:37:17 CDT 2021


Apologies for cross-postings and multiple postings! Please forward to
who might be interested.


*The Fourth International Workshop on Smart Living with IoT, Cloud, and
Edge Computing (SLICE-2021) in conjunction with The 18th International
Conference on Mobile Ad-Hoc and Smart Systems ( MASS - 2021)*
Denver, CO, United States, October 4-7, 2021
Conference website https://drpskfec.github.io/slice2021/
Submission link https://easychair.org/conferences/?conf=slice2021
Abstract registration deadline June 10, 2021
Submission deadline June 10, 2021


Smart health, smart cities, smart industries, smart agriculture, smart
environment, smart transportation, smart homes, smart education, smart
business, smart energy, smart grids, and so on are the components that aid
mankind for smart living. However, they require, typically, the design and
development of innovative technologies, standards, and protocols apart from
their architectures and frameworks. IoT has emerged as an extension to
Wireless Sensor Networks (WSNs) with low-cost and Internet-enabled
solutions for connecting and access anything from anywhere. In addition,
such smartness derived due to the artificial intelligence yields in the
production of tremendous amounts of data. The data increases as a
baby-boomer requiring efficient tools to analyze and extract suitable
inferences for services in order to extend smart living. Cloud, Edge, and
Big Data acquired enormous attention in the light of massive data storage
and analytics. With the large cohorts of gazette shrewdness and hi-tech
population, the infrastructure, service delivery becomes expensive and
difficult to manage for cities and governments. Automating systems through
utilization of IoT, Cloud, Edge, Big Data, and M2M tools and technologies
demonstrate great opportunity to reduce operating costs significantly,
utilize those savings more effectively, and provide better services to
communities for smarter living. This workshop provides a platform to the
researchers to publish their innovative ideas, extensive analysis of their
comparative studies, critical review of existing research, and position
papers in the above areas to meet the smart living requirements.

We are pleased to invite you to submit original contributions to SLICE 2021
via the official submission system at
https://easychair.org/conferences/?conf=slice2021. This can include,
technical and experimental, theoretical, conceptual, or a survey. All
submissions will be peer-reviewed on the basis of relevance, originality,
importance, and clarity.

Submissions Guidelines and Proceedings:

Papers must be 6 pages maximum in IEEE format, 10pt font using the IEEE
8.5" x 11" two-column format, single space, A4 format. All papers should be
in PDF format and submitted electronically at Paper Submission Link. A full
paper must not exceed the stated length (including all figures, tables, and
references). The Papers selected for presentation will appear in the MASS
2021 Proceedings, which will be published by the IEEE Computer Society and
be submitted to IEEE Xplore for inclusion.

Submitted papers must present original unpublished research that is not
currently under review for any other conference or journal. Papers not
following these guidelines may be rejected without review. Also,
submissions received after the due date, exceeding length limit, or not
appropriately structured may also not be considered. Authors may contact
the Program Chair for further information or clarification.

Papers should be submitted electronically by the deadline at the
https://easychair.org/conferences/?conf=slice2021 link.


The topics of interest include but are not limited to:

Platform architectures
Data analytics
Privacy-preserving data mining
Big data integrity and confidentiality
Data and knowledge as a service
Security and privacy applications
Real-time and stream processing techniques and algorithms
Real-life case studies
Proactive/predictive and advanced machine learning models
Simplified and distributed data processing techniques
Ubiquitous machine learning
Fog computing
Smart living data warehouse
Soft computing techniques
Resource utilization and Resource Management
Security and Trust
Mobile Computing
Application Development
Wireless Sensor Networks
Mobile Data Services
High-Performance Computing
Any other topic not covered above and suitable to the conference theme

All questions about submissions should be emailed to  kkavitha at pp.iitr.ac.in


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