Workshop aims

With the rapid momentum that mobile cloud computing is gaining, both in research and industry and within the proliferation of more context-aware services, adaptive cloud has become more and more prominent. Indeed, context aware information, such as, location, user’s profile, network, personal context and situational context, can provide users with more adaptive on-the-fly cloud services and optimise the use of resources.
Research investigations in context-aware clouds include but are not limited to, caching strategies, energy conservation techniques, geo-referenced contextual information gathering and processing, etc.
On one hand, the success of context-aware cloud services depends heavily on how the contextual data is being gathered, modelled, processed and transmitted over the network infrastructure.
On the other hand context-aware architectures can highly benefit from the use of cloud services. Due to the nature of context information, context can be seen as’ big’ data. Indeed, depending on the application domain contextual information can be gathered from a variety of sensors producing massive volumes of data that can represented in a variety of types.
Therefore, existing big data techniques such as massive parallel and in-memory databases, deep packet inspection technology etc. can benefit the development and implementation of context-aware systems and services.
It can also enable context aware middleware to access needed computing resources from the cloud computing.
Moreover, the emerging paradigm of Mobile Edge Computing (MEC), i.e. micro data centers located at the edge of the network, aims at reducing latency and improving the user experience. Thanks to the physical proximity of clouds to end-user devices, sensors and actuators, context is a first-class citizen in MEC scenarios.
The aim of this workshop is to bridge the gap between two main research topics, namely context-awareness and cloud computing, and bring researchers together to discuss how these two rapidly expanding research areas can support each other.


Topics include but are not limited to:

Conceptual cloud architectures

Context-aware middleware for clouds

Context-aware cloud challenges

Context representation and management in clouds

Deploying context in cloud services

Context-aware operation in clouds

Context in micro clouds

Context in edge clouds

Context for intra and inter cloud networking

Context-aware security for clouds

Using clouds to secure context-aware apppcations

Applications for context-aware clouds

Quality assessment in context-aware cloud services

Case studies


Paper Format

The submitted paper must be formatted according to the guidelines of Procedia Computer Science , MS Word Template, Latex , Template Generic, Elsevier.

Authors are requested to submit their papers electronically using the online conference management system in PDF format before the deadline.
The submission processes will be managed by If you have used this system before, you can use the same username and password. If this is your first time using EasyChair, you will need to register for an account by clicking “I have no EasyChair account” button. Upon completion of registration, you will get a notification email from the system and you are ready for submitting your paper. You can upload and re-upload the paper to the system by the submission due date.

Paper Length

Submitted technical papers must be no longer than 6 pages for full papers, 5 pages for short papers and 4 pages for work in progress, including all figures, tables and references.

Important Dates

Submission Deadline: 22nd May 2017

Authors Notification: 19th June 2017

Final Manuscript Due: 19 July 2017


Program Co-Chairs

Soraya Kouadri Mostéfaoui, The Open University, UK

Noura Faci, Lyon1 University, France

Federica Paganelli, Consorzio Nazionale Interuniversitario per le Telecomunicazioni, Italy

Program Committee (TBC)

Mahmoud Barhamgi, Université Lyon 1, France

Khalid Belhajjame, Université Paris Dauphine, France

Vanilson Buregio, UFRPE, Brazil

Salim Bitam, University of Biskra, Algeria

Marco Di Girolamo, Hewlett Packard Enterprise, Italy

Luca Foschini, University of Bologna, Italy

Soraya Kouadri Mostéfaoui, The Open University, UK

Zakaria Maamar, Zayed University, UAE

Francesca Paradiso, University of Florence, Italy

Mohamed Sellami, ISEP, France

Emir Ugljanin, State University of Novi Pazar, Serbia

Athanasios V. Vasilakos, University of Western Macedonia, Greece

Daqiang Zhang, Tongji University, China

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