Edge cloud is a promising architecture in order to address the latency problem in mobile
cloud computing. However, as compared with remote clouds, edge clouds have limited …

Pervasive and ubiquitous computing services have recently been under focus of not only the
research community, but developers as well. Prevailing wireless sensor networks (WSNs) …

The IoT devices captures data and sends it to Cloud for computation but data transfer
process from IoT device to Cloud can take lot of time if volume of data is large. Therefore, it …

Mobile edge computing is envisioned as a promising computing paradigm with the
advantage of low latency. However, compared with conventional mobile cloud computing …

Edge computing has emerged as a new paradigm to bring cloud applications closer to users
for increased performance. Unlike back-end cloud systems which consolidate their …

Latency-sensitive and data-intensive applications, such as IoT or mobile services, are
leveraged by Edge computing, which extends the cloud ecosystem with distributed …

The proliferation of smart connected Internet of Things (IoT) devices is bringing tremendous
challenges in meeting the performance requirement of their supported real-time applications …

Recognition and perception based mobile applications, such as image recognition, are on
the rise. These applications recognize the user's surroundings and augment it with …

Nowadays, a large amount of services are deployed on the edge of the network from the
cloud since processing data at the edge can reduce response time and lower bandwidth …

Data centers today consume tremendous amount of energy in terms of power distribution
and cooling. Dynamic capacity provisioning is a promising approach for reducing energy …