[hpc-announce] [CFP] The 10th Workshop on Management of Cloud and Smart City Systems (MoCS) in conjuction with IEEE ISCC'20

[Piergiorgio VITELLO]

*[Our sincere apologies if you receive multiple copies of this

announcement]*

*** CALL FOR PAPERS ***

The 10th Workshop on Management of Cloud and Smart City Systems

MoCS 2020

https://mocs20.gforge.uni.lu/

In conjunction with IEEE ISCC 2020 - Rennes, France

**

The last years have witnessed a permanent change of vision of cloud
systems. Nowadays, the most important stakeholders such as private
companies, public agencies, research communities and citizens rely on
the cloud for a number of purposes, stemming from sharing hardware
infrastructures to software, data, and sensing services.

The services designed for complex scenarios like Multi-Access Edge
Computing (MEC), smart cities, and the upcoming Industry 4.0, pave the
path for a new era of the cloud. The complexity of human dynamics in a
city can be better analyzed by decentralizing the infrastructure,
integrating and opening the data and sharing the services. The MEC
paradigm, standardized by ETSI, is a key enabling technology for
upcoming 5G networks, whereby applications and network functions are
hosted in edge cloud data centers. By being closer to the end-user,
besides better supporting low-latency applications, MEC systems are a

candidate architecture for such a decentralized, context-aware

infrastructure. Through sensing as a service processes, crowd-sensed data

is made available to the cloud stakeholders. Some of them like citizens

become data contributors, customers and service consumers at the same

time. Despite such a rapid (re-)evolution of cloud systems, it remains

unclear whether current solutions are able to support these emergent

application scenarios. In this context, artificial intelligence (AI) and

machine learning (ML) can provide deeper knowledge of the behavior

of edge systems to shape the development of autonomic orchestration

and networking.

The MoCS workshop started following the "cloud" stream 9 years ago. The
focus of the 10th MoCS edition is in the convergence of cloud paradigm in
form of MEC to support low-latency, context-aware applications for
complex scenarios like smart cities and learning-driven approaches

for urban planning.

Topics of interest include but are not limited to the following:
* Application of cloud and MEC systems to smart cities services;
* Models for context-aware crowdsensing techniques at urban-level scale;
* Integration of cloud/edge systems and mobile crowdsensing systems
through Human-enabled Edge Computing (HEC) paradigm;

* Edge data center deployment in urban environments to support low-latency

applications;

* ML- and AI-based approaches for edge computing services;

* AI-driven models, architectures, and frameworks for edge computing;
* Experiences on the (re)use of open platforms for cloud-integrated
smart cities services;
* Design and evaluation tools for scalability and efficient resource
allocation in smart cities;
* Design and application of cloud/edge technologies to Intelligent Transport
Systems (ITS);

* Vehicular cloud architectures for provisioning of smart cities services;

* Adaptive solutions for scalable, maintainable, cost-effective cloud

management and services provision;
* Models and paradigms for the management of cloud/MEC services
within/between data centres (intra- /inter-domain) and their deployment
in urban environment;
* Application of ML techniques to cloud/edge-based smart city applications;
* Cloud/edge-based automation tools applied to robotic science for smart
cities;
* Pricing schemes, bargaining mechanisms and economics for trading data
in cloud/edge environments;
* Blockchain solutions for secure and reliable transactions between the
counterparts in data sharing/trading;

* Data-driven approaches for smart transportation in urban areas;

* Software defined networks and placement of the controller in urban

environments.


** IMPORTANT DATES **

Paper Submission: May 7, 2020
Notification of Acceptance:  June 14, 2020
Final Paper: June 30, 2020

** SUBMISSION INSTRUCTIONS **
Prospective authors are invited to submit original technical papers for
publication in MoCS 2020. Manuscripts should be written in English with
a maximum paper length of 6 printed pages for full papers and 4 pages
for short papers. No more than 20\% of short papers will be accepted.
All manuscripts should adhere to the IEEE double-column conference
proceedings
(https://www.ieee.org/conferences/publishing/templates.html). Authors

are invited to submit their papers using EasyChair at
https://easychair.org/my/conference?conf=ieeeiscc2020#.

Papers exceeding 6 pages will not be accepted by EasyChair.
At least one author of each accepted paper is required to register to
the conference and present the paper. Only registered and presented
papers will be included in the ISCC 2020 Proceedings and submitted for
inclusion to IEEE Xplore library. The IEEE ISCC Proceedings have been
indexed in the past by ISI, dblp and Scopus. This makes the IEEE ISCC
Workshops publication venues with very high visibility and impact in
both Computer and Communications areas.

Please, contact the Workshop Organizers for any inquiry regarding the
submission of manuscripts.

** SUBMISSION WEBSITE **
<https://edas.info/newPaper.php?c=25932>https://easychair.org/my/conference?conf=ieeeiscc2020#

** ORGANIZING COMMITTEE ** 

Workshop Co-Chairs
Javier Berrocal (University of Extremadura, ES)
Andrea Capponi (University of Luxembourg, LU)

Michele Girolami (National Council of Research, ISTI-CNR, IT)

Publicity Co-Chairs
Antonino Galletta (University of Messina, IT)

Piergiorgio Vitello (University of Luxembourg, LU)

Publication Chair
Maria Fazio (University of Messina, IT)

Steering Committee
Antonio Corradi (University of Bologna, IT)
Luca Foschini (University of Bologna, IT)
Burak Kantarci (University of Ottawa, CA)
Massimo Villari (University of Messina, IT)

** SOCIAL MEDIA **

Stay tuned on our social networks:

Facebook: https://www.facebook.com/mocs20/
Twitter: https://twitter.com/MocsWorkshop
Instagram: https://www.instagram.com/mocs_workshop/