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Edge computing for smart health: Context-aware approaches, opportunities, and challenges
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Improving the efficiency of healthcare systems is a top national interest worldwide. However, the need to deliver scalable healthcare services to patients while reducing costs is a challenging issue. Among the most promising ...
A Combined Decision for Secure Cloud Computing Based on Machine Learning and Past Information
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Cloud computing has been presented as one of the most efficient techniques for hosting and delivering services over the internet. However, even with its wide areas of application, cloud security is still a major concern ...
HYPER-VINES: A HYbrid Learning Fault and Performance Issues ERadicator for Virtual NEtwork Services over Multi-Cloud Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Fault and performance management systems, in the traditional carrier networks, are based on rule-based diagnostics that correlate alarms and other markers to detect and localize faults and performance issues. As carriers ...
Proactive Video Chunks Caching and Processing for Latency and Cost Minimization in Edge Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Recently, the growing demand for rich multimedia content such as Video on Demand (VoD) has made the data transmission from content delivery networks (CDN) to end-users quite challenging. Edge networks have been proposed ...
Anonymity and privacy in bitcoin escrow trades
(
Association for Computing Machinery
, 2019 , Conference Paper)
As a decentralized cryptocurrency, Bitcoin has been in market for around a decade. Bitcoin transactions are thought to be pseudoanonymous, however, there were many attempts to deanonymize these transactions making use of ...
QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Driven by the tremendous technological advancement of personal devices and the prevalence of wireless mobile network accesses, the world has witnessed an explosion in crowdsourced live streaming. Ensuring a better viewers ...
Transcoding resources forecasting and reservation for crowdsourced live streaming
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
During the last decade, empowered by the technological advances of mobile devices and the revolution of wireless mobile network access, crowdsourced live streaming has become more popular. Ensuring a stable high-quality ...
RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database
(
Elsevier B.V.
, 2019 , Article)
The omnipresence of unmanned aerial vehicles, or drones, among civilians can lead to technical, security, and public safety issues that need to be addressed, regulated and prevented. Security agencies are in continuous ...
DroneRF dataset: A dataset of drones for RF-based detection, classification and identification
(
Elsevier Inc.
, 2019 , Article)
Modern technology has pushed us into the information age, making it easier to generate and record vast quantities of new data. Datasets can help in analyzing the situation to give a better understanding, and more importantly, ...
The P-ART framework for placement of virtual network services in a multi-cloud environment
(
Elsevier B.V.
, 2019 , Article)
Carriers network services are distributed, dynamic, and investment intensive. Deploying them as virtual network services (VNS) brings the promise of low-cost agile deployments, which reduce time to market new services. If ...