1,720,980 research outputs found
A P2P Platform based on Rate-Controlled FGS encoding for Broadcast Video Transmission to Heterogeneous Terminals with Heterogeneous Network Access
No full textA P2P platform for real-time multicast video streaming leveraging on scalable multiple descriptions to cope with bandwidth fluctuations
No full textIn the immediate future video distribution applications will increase their diffusion thanks to the ever-increasing user capabilities and improvements in the Internet access speed and performance. The target of this paper is to propose a content delivery system for real-time streaming services based on a peer-to-peer approach that exploits multicast overlay organization of the peers to address the challenges due to bandwidth heterogeneity. To improve reliability and flexibility, video is coded using a scalable multiple description approach that allows delivery of sub-streams over multiple trees and allows rate adaptation along the trees as the available bandwidth changes. Moreover, we have deployed a new algorithm for tree-based topology management of the overlay network. In fact, tree based overlay networks better perform in terms of end-to-end delay and ordered delivery of video flow packets with respect to mesh based ones. We also show with a case study that the proposed system works better than similar systems using only either multicast or multiple trees
H-HOME: A learning framework of federated FANETs to provide edge computing to future delay-constrained IoT systems
No full textIn 6G systems, it will be mandatory that the network is able to support edge computing powered by Artificial Intelligence (AI) to provide mobile devices with the opportunity of job offloading for computation, so implementing the new paradigm of Intelligent Internet of Intelligent Things (IIoIT). In areas that are very difficult to be covered by the structured networks, Flying Ad-Hoc Networks (FANET) can be considered one of the most promising technologies to enhance coverage, capacity, reliability, and energy efficiency of wireless cellular networks, also providing edge-computing services. The goal of this paper is to propose a two-layer Hierarchical Horizontal-Offload ManagEment (H-HOME) framework for horizontal offload among the Unmanned Aerial Vehicles (UAV) of the same FANET, in order to minimize processing delay and jitter. The framework exploits Federated Reinforcement Learning in order to take advantage of knowledge sharing without incurring into problems of privacy and network overloading. A Markov Decision Process (MDP) is also defined to optimize decisions of the FANET Orchestrator (FO). Simulation results, obtained from two different analyses, demonstrate that H-HOME outperforms the traditional local training approach, based on simple recursive learning, and it can be effectively used to reduce power consumption and increase FANETs flight autonomy
Real-time multicast P2P video streaming architecture based on scalable multiple descriptions
No full textIn the immediate future video distribution applications will increase their diffusion thanks to the ever-increasing user capabilities and improvements in the Internet access speed and performance. The target of this paper is to propose a content delivery system for real-time streaming services based on a peer-to-peer approach that exploits multicast overlay organization of the peers to address the challenges due to bandwidth heterogeneity. To improve reliability and flexibility, video is coded using a scalable multiple description approach that allows delivery of sub-streams over multiple trees and allows rate adaptation along the trees as the available bandwidth changes. Moreover, we have deployed a new algorithm for tree-based topology management of the overlay network. In fact, tree based overlay networks better perform in terms of end-to-end delay and ordered delivery of video flow packets with respect to mesh based ones. We also show with a case study that the proposed system works better than similar systems using only either multicast or multiple trees
Modeling power management in networked devices
No full textThis paper focuses on the power management of state-of-the-art networked devices (like common PCs, servers, set-top boxes, etc.) to evaluate their behavior, model their internal dynamics and possible sources of inefficiency, and optimize their performance and energy efficiency. To this purpose, we started from an experimental characterization of the power management schemes in common device platforms based on commercial off-the-shelf hardware and open-source software (i.e., common PCs/servers devices running the Linux operating system). The characterization allowed us to formalize an analytical model able to accurately capture the power management dynamics at hardware (at ACPI level and beyond) and software levels (Linux Governors). Finally, the proposed model has been applied to analyze the efficiency of networked devices according to various configurations of internal parameters and incoming workload. Thanks to its intrinsic accuracy and the representation of different fine-grained details, the model is able to provide precious information on the possible sources of inefficiency, and on how to act on policy parameters to optimize the system behavior. © 2014 Elsevier B.V. All rights reserved
Design of a service platform for delay-sensitive video streaming applications based on multicast p2p and scalable MDC encoding
No full textThe great diffusion of Internet accesses in the world and the enormous evolution of the Internet technologies have strongly determined dissemination and consolidation of many applications of video content distribution. However, multicast real-time video communications for interactive service applications with a very high number of users, like for example multipoint videoconferences and interactive video games, remains a challenging research topic for the presence of very strict requirements in terms of end-to-end delay and perceived quality.
The target of this paper is to propose a video distribution platform that is able to provide a huge number of users with a delay constrained multicast video streaming. To this purpose, the proposed content delivery platform is based on a peer-to-peer approach that exploits multicast overlay organization of the peers to address the challenges due to bandwidth heterogeneity. To improve reliability and flexibility, video is coded using a scalable multiple description approach. Some design guidelines are provided taking into account some requirements in terms of delay, average PSNR, robustness against underlying network bandwidth fluctuations, and fairness
A Bandwidth-Aware P2P Platform for the Transmission of Multipoint Multiple Description Video Streams
No full text
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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