711 research outputs found
End-to-end QoE optimization through overlay network deployment
In this paper an overlay network for end-to-end QoE management is presented. The goal of this infrastructure is QoE optimization by routing around failures in the IP network and optimizing the bandwidth usage on the last mile to the client. The overlay network consists of components that are located both in the core and at the edge of the network. A number of overlay servers perform end-to-end QoS monitoring and maintain an overlay topology, allowing them to route around link failures and congestion. Overlay access components situated at the edge of the network are responsible for determining whether packets are sent to the overlay network, while proxy components manage the bandwidth on the last mile. This paper gives a detailed overview of the end-to-end architecture together with representative experimental results which comprehensively demonstrate the overlay network's ability to optimize the QoE
CASPR: Judiciously Using the Cloud for Wide-Area Packet Recovery
We revisit a classic networking problem -- how to recover from lost packets
in the best-effort Internet. We propose CASPR, a system that judiciously
leverages the cloud to recover from lost or delayed packets. CASPR supplements
and protects best-effort connections by sending a small number of coded packets
along the highly reliable but expensive cloud paths. When receivers detect
packet loss, they recover packets with the help of the nearby data center, not
the sender, thus providing quick and reliable packet recovery for
latency-sensitive applications. Using a prototype implementation and its
deployment on the public cloud and the PlanetLab testbed, we quantify the
benefits of CASPR in providing fast, cost effective packet recovery. Using
controlled experiments, we also explore how these benefits translate into
improvements up and down the network stack
Livenet: A low-latency video transport network for large-scale live streaming
Low-latency live streaming has imposed stringent latency requirements on video transport networks. In this paper we report on the design and operation of the Alibaba low-latency video transport network, LiveNet. LiveNet builds on a flat CDN overlay with a centralized controller for global optimization. As part of this, we present our design of the global routing computation and path assignment, as well as our fast data transmission architecture with fine-grained control of video frames. The performance results obtained from three years of operation demonstrate the effectiveness of LiveNet in improving CDN performance and QoE metrics. Compared with our prior state-of-The-Art hierarchical CDN deployment, LiveNet halves the CDN delay and ensures 98% of views do not experience stalls and that 95% can start playback within 1 second. We further report our experiences of running LiveNet over the last 3 years
An Application-Aware Spectrum Sharing Approach for Commercial Use of 3.5 GHz Spectrum
In this paper, we introduce an application-aware spectrum sharing approach
for sharing the Federal under-utilized 3.5 GHz spectrum with commercial users.
In our model, users are running elastic or inelastic traffic and each
application running on the user equipment (UE) is assigned a utility function
based on its type. Furthermore, each of the small cells users has a minimum
required target utility for its application. In order for users located under
the coverage area of the small cells' eNodeBs, with the 3.5 GHz band resources,
to meet their minimum required quality of experience (QoE), the network
operator makes a decision regarding the need for sharing the macro cell's
resources to obtain additional resources. Our objective is to provide each user
with a rate that satisfies its application's minimum required utility through
spectrum sharing approach and improve the overall QoE in the network. We
present an application-aware spectrum sharing algorithm that is based on
resource allocation with carrier aggregation to allocate macro cell permanent
resources and small cells' leased resources to UEs and allocate each user's
application an aggregated rate that can at minimum achieves the application's
minimum required utility. Finally, we present simulation results for the
performance of the proposed algorithm.Comment: Submitted to IEE
Service-centric networking
This chapter introduces a new paradigm for service centric networking. Building upon recent proposals in the area of information centric networking, a similar treatment of services – where networked software functions, rather than content, are dynamically deployed, replicated and invoked – is discussed. Service-centric networking provides the mechanisms required to deploy replicated service instances across highly distributed networked cloud infrastructures and to route client requests to the closest instance while providing more efficient network infrastructure usage, improved QoS and new business opportunities for application and service providers. </jats:p
A Study of Path Selection Algorithms for Mobile Video Streaming QoE
This thesis discusses the problem of path selection for video streaming over 4G mobile networks; its final goal is to devise path selection strategies and test them with a pre-existing network simulator. The objective of path selection algorithms is to optimize both the use of network resources and the Quality of Experience of end users, quantified by various objective metrics. We will propose several path selection algorithms for LTE video transmission, testing them with a simulationope
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