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 …

Edge services become increasingly important as the Internet transforms into an Internet of
Things (IoT). Edge services require bounded latency, bandwidth reduction between the …

Image recognition applications are on the rise. Increasingly, applications on edge devices
such as mobile smartphones, drones and cars, are relying on recognition techniques to …

Current mobile applications treat the end-user device as a" thin client," with all of the heavy
computations being offloaded to an infrastructure cloud. However, the computational …

Edge computing has emerged as a popular paradigm for running latency-sensitive
applications due to its ability to offer lower network latencies to end-users. In this paper, we …

This paper presents an analysis of the scalability and performance of an edge cloud system
designed to support latency-sensitive applications. A system model for geographically …

When it comes to storage and computation of large scales of data, Cloud Computing has
acted as the de-facto solution over the past decade. However, with the massive growth in …

The proliferation of Internet of Everything (IoE) and the success of rich Cloud services have
pushed the horizon of a new computing paradigm, Edge Computing, which calls for …

Latency-sensitive edge-native applications may be the key to commercial success of edge
infrastructure. However, success in the form of widespread deployment of such applications …

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 …