Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Maheswaran, Muthucumaru"'
Machine learning (ML) is expected to play a major role in 5G edge computing. Various studies have demonstrated that ML is highly suitable for optimizing edge computing systems as rapid mobility and application-induced changes occur at the edge. For M
Externí odkaz:
http://arxiv.org/abs/2111.07457
Real-time artificial intelligence (AI) applications mapped onto edge computing need to perform data capture, process data, and device actuation within given bounds while using the available devices. Task synchronization across the devices is an impor
Externí odkaz:
http://arxiv.org/abs/2012.11731
Autonomous driving is expected to provide a range of far-reaching economic, environmental and safety benefits. In this study, we propose a fog computing based framework to assist autonomous driving. Our framework relies on overhead views from cameras
Externí odkaz:
http://arxiv.org/abs/1907.09454
This paper presents a fog-resident controller architecture for synchronizing the operations of large collections of Internet of Things (IoT) such as drones, Internet of Vehicles, etc. Synchronization in IoT is grouped into different classes, use case
Externí odkaz:
http://arxiv.org/abs/1906.09963
Autor:
Maheswaran, Muthucumaru, Wenger, Robert, Olaniyan, Richard, Memon, Salman, Fadahunsi, Olamilekan, Echomgbe, Richboy
For effective use of edge computing in an IoT application, we need to partition the application into tasks and map them into the cloud, fog (edge server), device levels such that the resources at the different levels are optimally used to meet the ov
Externí odkaz:
http://arxiv.org/abs/1906.09962
Autor:
Memon, Salman, Maheswaran, Muthucumaru
Smart mobility management would be an important prerequisite for future fog computing systems. In this research, we propose a learning-based handover optimization for the Internet of Vehicles that would assist the smooth transition of device connecti
Externí odkaz:
http://arxiv.org/abs/1812.11652
Publikováno v:
Elsevier Future Generation Computer Systems Journal, 2018
The growing need for low-latency access to computing resources has motivated the introduction of edge computing, where resources are strategically placed at the access networks. Unfortunately, edge computing infrastructures like fogs and cloudlets ha
Externí odkaz:
http://arxiv.org/abs/1806.04311
Embedded systems permeate through nearly all aspects of modern society. From cars to refrigerators to nuclear refineries, securing these systems has never been more important. Intrusions, such as the Stuxnet malware which broke the centrifuges in Ira
Externí odkaz:
http://arxiv.org/abs/1611.00742
Publikováno v:
Proc. 21st IEEE Intl. Symp. on High Performance Computing Systems and Applications (HPCS), May 2007, Saskatoon, SK, Canada
Several high-throughput distributed data-processing applications require multi-hop processing of streams of data. These applications include continual processing on data streams originating from a network of sensors, composing a multimedia stream thr
Externí odkaz:
http://arxiv.org/abs/0903.4392