The number of connected IoT devices is exploding during the last years. According to Gartner, the total number of connected "things" will reach 26 billion units by 2020. This trend is bringing several challenges to be addressed when it comes to building efficient and reliable IoT systems. The devices involved in these applications are getting smaller and smarter, while the conditions and constraints to be satisfied are increasingly complex. In addition, with the aim of increasing user satisfaction, these devices should be aware of the context, knowing the user's preferences and needs; so that they can adapt their behavior to each situation. Further increasing, their complexity.
These challenges pose some questions that need further discussion from researchers: How to enable collecting, managing and sharing massive amounts of data with other connected “things” and/or prospective software in the Cloud? How this information could be used to adapt the smart devices’ behavior? What is the role of the (Mobile) Cloud Computing and the Fog Computing? How to provide appropriate resources in these environments?
The objective of this workshop is to encourage and attract multidisciplinary research in Internet of Things, (Mobile) Cloud Computing, Distributed and Cloud-Aware IoT systems, Context-Awareness and (Mobile) Crowdsensing.
ISyCC Workshop will be a forum for academics, industrial researchers, developers, and practitioners to discuss about above-mentioned questions and about topics that include, but are not limited to:
|Workshop Papers Submission||September 3rd, 2018 (extended)|
|Authors Notification||September 14, 2018|
|Early Registration||September 24, 2018|
|Camera Ready Paper & Copyright||October 1, 2018|
|Workshops||November 12, 2018|
IBM Almaden Research Center, CA, USA
China University of Geosciences,
Authors are invited to submit full papers (maximum length of 12 pages, including all references and figures.) Papers should be formatted according to Springer’s LNCS formatting guidelines and submitted the conference submission system.
All submitted papers will be peer-reviewed by members of the Program Committee and evaluated based on originality, significance, technical soundness, and clarity of expression. All submissions must not have been accepted for publication elsewhere or be under review for another workshop or conference.
Accepted papers will be included in the workshop proceedings published as part of the Lecture Notes in Computer Science (LNCS) series of Springer.
For each accepted paper, at least one author must attend the workshop and present the paper. Registration is subject to the terms and conditions of ICSOC.
A selection of accepted papers will be invited to submit an extension of their work for a special issue of the Sensors Journal. Sensors is indexed by the Science Citation Index Expanded (Web of Science), MEDLINE (PubMed), Compendex (EI) and other databases, and has an Impact Factor of 2.475.