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Proceedings ArticleDOI

IMS cloud computing architecture for high-quality multimedia applications

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TLDR
Experimental results indicate that the proposed mechanism improves system performance by allocating resources according to service priority and the proposed architecture also significantly improves system capacity to accommodate numerous users.
Abstract
A novel IP Multimedia Subsystem (IMS) framework with cloud computing architecture is proposed for use in high-quality multimedia applications. The IMS supports heterogeneous networking with Quality-of-Service (QoS) policy. MapReduce analysis is also used to enhance cloud computing capability. This architecture enables users to access high-quality multimedia applications via Android-based appliances. In this study, the IMS QoS policies of three wireless access technologies, 3G, WiFi and WiMAX, are integrated in a cloud computing environment to provide different services such as VoIP services and video streaming services. Experimental results indicate that the proposed mechanism improves system performance by allocating resources according to service priority. The proposed architecture also significantly improves system capacity to accommodate numerous users.

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Journal ArticleDOI

Cloud Mobile Media: Reflections and Outlook

TL;DR: This paper surveys the emerging paradigm of cloud mobile media and proposes design principles for cloud-based mobile media using a concrete case study: a cloud-centric media platform (CCMP) developed at Nanyang Technological University.
Patent

Communication system architecture

TL;DR: Disclosed as mentioned in this paper is a communication system for effecting communication events between a plurality of endpoints connected via a communication network, which consists of processing units other than the endpoints, each having access to computer storage holding executable code modules for managing a communication event.
Proceedings ArticleDOI

QoS-aware elastic cloud brokering for IMS infrastructures

TL;DR: This work presents the design and implementation of a cloud brokering system for IMS services, capable of simultaneously interworking with multiple cloud infrastructures, and developed a Cloud Broker Engine (CBE) able to dynamically up/down-scale cloud resources across multiple cloud platforms.
Journal ArticleDOI

Knowledge-Enhanced Mobile Video Broadcasting Framework With Cloud Support

TL;DR: The KMV-Cast is built on a linear video transmission instead of a traditional digital video system, and exploits the hierarchical Bayesian model to integrate the correlated information into the video reconstruction at the receiver.
Proceedings ArticleDOI

A Virtualization-Based Cloud Infrastructure for IMS Core Network

TL;DR: A virtualization-based cloud platform for the IMS core network, with a novel load-balance and disaster recovery policy, is proposed and experimental results indicate that the proposed mechanism improves system performance by dynamic allocating resources according to current load.
References
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Proceedings ArticleDOI

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Proceedings ArticleDOI

The Hadoop distributed filesystem: Balancing portability and performance

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Journal ArticleDOI

Wireless telemedicine services over integrated IEEE 802.11/WLAN and IEEE 802.16/WiMAX networks

TL;DR: The application of integrated IEEE 802.11/WLAN broadband wireless access technologies along with the related protocol issues for telemedicine services are investigated, especially regarding QoS support, radio resource management, scheduling and connection admission control schemes, as well as handover and mobility management.
Proceedings ArticleDOI

Analysis and Research of Cloud Computing System Instance

TL;DR: The evolution process of cloud Computing, the current technologies adopted in cloud computing, as well as the systems in enterprises are discussed, and three kinds of cloud computing platform are introduced with emphasis.
Proceedings ArticleDOI

Introducing map-reduce to high end computing

TL;DR: This work provides an example of how the halo finding application, when applied to large astrophysics datasets, benefits from the model of the Hadoop architecture.
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