[hpc-announce] [EDAS-CFP] [SLICE 2023] - Smart Living with IoT, Cloud, and Edge - Submission: June 21, 2023 (HARD DEADLINE)

SLICE IIT Roorkee slice.iitr at gmail.com
Mon Jun 12 09:18:07 CDT 2023

The Fifth International Workshop on Smart Living with IoT, Cloud, and Edge
Computing 2023 (SLICE 2023)

in conjunction with

The 20th IEEE International Conference on Mobile Ad Hoc and Smart Systems
(MASS) - 2023

TORONTO, CANADA, September 25-27, 2023

Workshop website: https://drpskfec.github.io/slice2023/

Submission link: https://edas.info/N31253

Submission deadline June 21, 2023 (Hard deadline)


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 in 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 accessing anything from anywhere. In addition,
such smartness is derived due to the artificial intelligence yields in
production of tremendous amounts of data. The data increases as a baby
boomer requires 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 and service delivery become
expensive and difficult to manage for cities and governments. Automating
systems through the utilization of IoT, Cloud, Edge, Big Data, and M2M
tools and technologies demonstrate a 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 for 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


We are pleased to invite you to submit original contributions to SLICE
2023. 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, including
references. Authors must use the Manuscript Templates for IEEE Conference
Proceedings. Reviewing will be single-blind, i.e., authors can keep their
names on their submitted papers. For all papers, IEEE reserves the right to
exclude the paper from distribution after the conference (e.g., removal
from IEEE Xplore) if the paper is not presented at the conference. All
papers should be in PDF format and submitted electronically at the Paper
Submission link. The Papers selected for presentation will appear in the
MASS 2023 Proceedings, which will be published by the IEEE Computer Society
and 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.


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  sateesh at cs.iitr.ac.in

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