Reasoning about naming systems
ACM Transactions on Programming Languages and Systems (TOPLAS)
Constraint satisfaction and debugging for interactive user interfaces
Constraint satisfaction and debugging for interactive user interfaces
The cubic mouse: a new device for three-dimensional input
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
An extensive empirical study of feature selection metrics for text classification
The Journal of Machine Learning Research
Modeling and Simulation Design
Modeling and Simulation Design
Lowering the barriers to large-scale mobile crowdsensing
Proceedings of the 14th Workshop on Mobile Computing Systems and Applications
MigCEP: operator migration for mobility driven distributed complex event processing
Proceedings of the 7th ACM international conference on Distributed event-based systems
Opportunistic spatio-temporal event processing for mobile situation awareness
Proceedings of the 7th ACM international conference on Distributed event-based systems
Mobile fog: a programming model for large-scale applications on the internet of things
Proceedings of the second ACM SIGCOMM workshop on Mobile cloud computing
Service-oriented heterogeneous resource sharing for optimizing service latency in mobile cloud
Proceedings of the first international workshop on Mobile cloud computing & networking
Hardware and embedded security in the context of internet of things
Proceedings of the 2013 ACM workshop on Security, privacy & dependability for cyber vehicles
Offloading work to mobile devices: an availability-aware data partitioning approach
Proceedings of the First International Workshop on Middleware for Cloud-enabled Sensing
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Fog Computing extends the Cloud Computing paradigm to the edge of the network, thus enabling a new breed of applications and services. Defining characteristics of the Fog are: a) Low latency and location awareness; b) Wide-spread geographical distribution; c) Mobility; d) Very large number of nodes, e) Predominant role of wireless access, f) Strong presence of streaming and real time applications, g) Heterogeneity. In this paper we argue that the above characteristics make the Fog the appropriate platform for a number of critical Internet of Things (IoT) services and applications, namely, Connected Vehicle, Smart Grid, Smart Cities, and, in general, Wireless Sensors and Actuators Networks (WSANs).