CCAC 2016 - International Workshop on Cloud and Context-Aware Computing (CCAC’2016)

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
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