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Workshops

The purpose of workshops is to provide a more interactive and focused platform for presenting and discussing new and emerging ideas. The format of paper presentations may include oral presentations, poster presentations, keynote lectures and panels. Depending on the number of presentations, workshops can be scheduled for 1 day or 2 days. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on CD-ROM support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Engineering Village Index) and Scopus.

WORKSHOPS LIST

DataDiversityConvergence 2016Workshop on Towards Convergence of Big Data, SQL, NoSQL, NewSQL, Data streaming/CEP, OLTP and OLAP
Chair(s): Ricardo Jimenez-Peris, Marta Patiño-Martinez, Patrick Valduriez and Theodora Varvarigou

TEEC 2016Tools for an Energy Efficient Cloud
Chair(s): Karim Djemame

IWCR 2016International Workshop on Cloud Robotics (Cancelled)

Workshop on
Towards Convergence of Big Data, SQL, NoSQL, NewSQL, Data streaming/CEP, OLTP and OLAP
 - DataDiversityConvergence 2016

Paper Submission: February 10, 2016 (expired)
Authors Notification: February 24, 2016
Camera Ready and Registration: March 3, 2016

Co-chairs

Ricardo Jimenez-Peris
LeanXcale
Spain
 
Marta Patiño-Martinez
Universidad Politécnica de Madrid
Spain
 
Patrick Valduriez
INRIA - Sophia Antipolis Méditeranné
France
 
Theodora Varvarigou
National Technical University of Athens
Greece
 
Scope

The advent of many new paradigms to manage data such as NoSQL, NewSQL, CEP and its co-existence with former paradigms such as OLTP and OLAP SQL databases has resulted in a new technological world that has been termed Polyglot Persistence by Martin Fowler in his bestseller “NoSQL distilled”. There are many open research challenges in this world in which many different data stores coexist and even ecosystems and architectures based on multiple data stores, such as the lambda architecture.


Tools for an Energy Efficient Cloud - TEEC 2016

Paper Submission: February 10, 2016 (expired)
Authors Notification: February 24, 2016
Camera Ready and Registration: March 3, 2016

Chair

Karim Djemame
University of Leeds
United Kingdom
 
Scope

The workshop aims to bring together researchers, practitioners, system administrators, software developers, and others interested in the latest advances of energy efficient clouds. Special focus will be on novel methods and tools to support software developers aiming to optimise energy efficiency and minimise the carbon footprint resulting from designing, developing, deploying and running software at the different layers of the Cloud computing stack. We call on to researchers and professionals to present their latest work on addressing such related challenges and to share their experiences and best practices in the deployment of such systems. We particularly welcome papers on relevant software engineering approaches and practical guidance on enterprise-wide software deployment in the cloud environment, together with real-world case studies.


International Workshop on
Cloud Robotics
 - IWCR 2016


* CANCELLED *


Co-chairs

Giovanni Toffetti
Zurich University of Applied Sciences (ZHAW)
Switzerland
 
Gajamohan Mohanarajah
Rapyuta Robotics
Switzerland
 
Thomas Michael Bohnert
Zurich University of Applied Sciences
Switzerland
 
Scope

The connection between the virtual and physical world has never been as exciting, accessible, and economically viable as today. Sensors, actors, and robots are able to deliver physical services in several practical scenarios. In isolation, computing capabilities of robots are limited by embedded CPUs and storage units. By connecting robots among each other and to cloud computing, cloud storage, and other Internet technologies centered around the benefits of converged infrastructure and shared services, two main advantages can be exploited. First, computation can be outsourced to cloud services leveraging a pay-per-use elastic model. Second, robots can access a plethora of services complementing their capabilities (e.g., speech analysis, object recognition, knowledge sharing), enabling new complex functionalities and supporting learning.


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