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Fault and performance management in multi-cloud based NFV using shallow and deep predictive structures
(
Springer
, 2017 , Article)
Deployment of network function virtualization (NFV) over multiple clouds accentuates its advantages such as flexibility of virtualization, proximity to customers and lower total cost of operation. However, NFV over multiple ...
Crowdsourced MultiView Live Video Streaming using Cloud Computing
(
Hamad bin Khalifa University Press (HBKU Press)
, 2018 , Conference Paper)
Multi-view videos are composed of multiple video streams captured simultaneously using multiple cameras from various angles (different viewpoints) of a scene. Multi-view videos offer more appealing and realistic view of ...
Automated Service Delivery and Optimal Placement for CRANs
(
Hamad bin Khalifa University Press (HBKU Press)
, 2018 , Conference Paper)
Traditionally, in cellular networks, users communicate with the base station that serves the particular cell under coverage. The main functions of a base station can be divided into two, which are the baseband unit (BBU) ...
Caloric expenditure estimation for health games
(
Hamad bin Khalifa University Press (HBKU Press)
, 2013 , Conference Paper)
With the decline in physical activities among young people, it is essential to monitor their physical activity and ensure their calorie expenditure is within the range necessary to lead a healthy life style. For many ...
Towards a K-12 Game-based Educational Platform with Automatic Student Monitoring: "INTELLIFUN"
(
Hamad bin Khalifa University Press (HBKU Press)
, 2016 , Conference Paper)
Since the twenty-first century, digital technologies are increasingly supporting teaching and learning activities. Because learning is effective when it starts early, advanced early years' educational tools are highly ...
Optimal virtual network function placement in multi-cloud service function chaining architecture
(
Elsevier B.V.
, 2017 , Article)
Service Function Chaining (SFC) is the problem of deploying various network service instances over geographically distributed data centers and providing inter-connectivity among them. The goal is to enable the network ...
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
The rapid production of mobile devices along with the wireless applications boom is continuing to evolve daily. This motivates the exploitation of wireless spectrum using multiple Radio Access Technologies (multi-RAT) and ...
3-D Stochastic Geometry-Based Modeling and Performance Analysis of Efficient Security Enhancement Scheme for IoT Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Internet of Things (IoT) systems are becoming core building blocks for different services and applications supporting every day's life. The heterogeneous nature of IoT devices and the complex use scenarios make it hard to ...
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of Things (IoT) applications and services, spanning from recommendation systems and speech processing applications to robotics ...
QDRL: QoS-Aware Deep Reinforcement Learning Approach for Tor's Circuit Scheduling
(
IEEE Computer Society
, 2022 , Article)
Tor is a popular anonymity network adopted by more than two million users to preserve their privacy. Tor was mainly developed as a low-latency network to support interactive web browsing and messaging applications. However, ...