Reliability-oriented optimization of computation offloading for cooperative vehicle-infrastructure systems
Computation offloading is critical for mobile applications that are sensitive to computational
power, while dynamic and random nature of vehicular networks makes it challenging to …
power, while dynamic and random nature of vehicular networks makes it challenging to …
Data collection in sensor-cloud: A systematic literature review
The integration of cloud computing and Wireless Sensor Networks (WSNs) to create Sensor-
cloud helps in extending the data processing capability and storage capability of WSNs …
cloud helps in extending the data processing capability and storage capability of WSNs …
Distributed music classification using random vector functional-link nets
In this paper, we investigate the problem of music classification when training data is
distributed throughout a network of interconnected agents (eg computers, or mobile …
distributed throughout a network of interconnected agents (eg computers, or mobile …
Real time car parking system: A novel taxonomy for integrated vehicular computing
EC Anderson, KC Okafor… - 2017 International …, 2017 - ieeexplore.ieee.org
Automation of real time car parking system (RTCPS) using mobile cloud computing (MCC)
and vehicular networking (VN) has given rise to a novel concept of integrated …
and vehicular networking (VN) has given rise to a novel concept of integrated …
Towards an efficient resource allocation based on software-defined networking approach
Abstract Quality of Service (QoS) provisioning in a converged network is a particularly
difficult and yet extremely important task. With the coexistence of different types of services, it …
difficult and yet extremely important task. With the coexistence of different types of services, it …
Leveraging renewable energy in edge clouds for data stream analysis in iot
The emergence of Internet of Things (IoT) is participating to the increase of data-and energy-
hungry applications. As connected devices do not yet offer enough capabilities for …
hungry applications. As connected devices do not yet offer enough capabilities for …
CrossRec: Cross-domain recommendations based on social big data and cognitive computing
With the explosion of social data comes a great challenge called information overloading. To
overcome this challenge, recommender systems are expected to support users in quickly …
overcome this challenge, recommender systems are expected to support users in quickly …
An online and scalable model for generalized sparse nonnegative matrix factorization in industrial applications on multi-GPU
Generalized sparse nonnegative matrix factorization (SNMF) has been proven useful in
extracting information and representing sparse data with various types of probabilistic …
extracting information and representing sparse data with various types of probabilistic …
Supporting mobility-aware computational offloading in mobile cloud environment
Abstract Mobile Cloud Computing (MCC) enables resource-constrained smartphones to run
high processing and storage intensive applications through public clouds or cloudlet code …
high processing and storage intensive applications through public clouds or cloudlet code …
RETRACTED ARTICLE: Feature selection using fish swarm optimization in big data
RPS Manikandan, AM Kalpana - Cluster Computing, 2019 - Springer
The rapid advances in the field of information and communication technology has made the
ubiquitous type of computing along with the internet of things extremely popular. Such …
ubiquitous type of computing along with the internet of things extremely popular. Such …