@inproceedings{pa006,

title = {Enabling actor model for crowd sensing and IoT},

author = {Daniel Diaz-Sánchez and Simon Sherratt and Patricia Arias and Florina Almenarez and Andrés Marín},

url = {https://ieeexplore.ieee.org/document/7177779},

doi = {https://doi.org/10.1109/ISCE.2015.7177779},

issn = {0747-668X},

year  = {2015},

date = {2015-08-06},

urldate = {2015-08-06},

publisher = {IEEE},

abstract = {The cloud is playing a very important role in wireless sensor network, crowd sensing and IoT data collection and processing. However, current cloud solutions lack of some features that hamper the innovation a number of other new services. We propose a cloud solution that provides these missing features as multi-cloud and device multi-tenancy relying in a whole different fully distributed paradigm, the actor model.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{pa005,

title = {P2P-based data layer for mobile Media Cloud},

author = {Daniel Díaz-Sanchez and Patricia Arias-Cabarcos and Florina Almenarez and Andrés Marín-López},

url = {https://ieeexplore.ieee.org/document/7066362},

doi = {https://doi.org/10.1109/ICCE.2015.7066362},

issn = {2158-3994},

year  = {2015},

date = {2015-03-26},

urldate = {2015-03-26},

publisher = {IEEE},

abstract = {This paper focus in an emerging concept called Elastic Personal Computing that is the ability to distribute data processing among multiple personal devices that constitute a mobile cloud. Among the most complex challenges is to provide data layer for the system to exchange input data transparently among nodes considering the data partitioning is application specific. Implementing data layers with replication and load distribution strategies is not feasible due to mobility, intermittent availability and the distributed character of mobile cloud systems. This article reasons about the problem and presents a P2P based data layer for distributed computing using personal devices.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}