A personalized mobile IPTV system with seamless video reconstruction algorithm in cloud networks

Sharing information and resources on the Internet has become an important activity for education. The use of ubiquitous devices makes it possible for learning participants to be engaged in an open and connected social environment, and also allows the learning activities to be performed at any time and any place. In this study, the discovery of correlation among shared resources is concentrated. A hypothetical scenario is considered that the information, such as photos and thoughts, is applicable to be shared with implicit context (i.e., geographical information) by learners through a practical implementation, PadSCORM, on a mobile device. Two major contributions are achieved. First, the correlations among resources are determined through usage experiences mining and geographical information adjustment. It then assists learners in filtering out redundant information by highlighting the significance of resources. Second, an intelligent searching algorithm is proposed to visualize adaptive routes to facilitate search process and to enrich the learning activity. The empirical experiments revealing the feasibility and performance (e.g., accuracy and effectiveness) are conducted in the universities in North Taiwan.Social network analysis concentrates on the discovery of implicit correlation via the explicit exchange of resources among participants. The participant, including the human user and/or object,

Section: Web Searchmentioning

confidence: 99%

Intelligent route generation: discovery and search of correlation between shared resources

Yen

Huang

et al. 2012

“…Cloud computing is an emerging paradigm where computing resources are offered over the Internet. Many studies of integrating cloud computing architecture with various application domains have been reported recently by researchers . The service models of cloud computing are usually classified as IaaS, PaaS, and SaaS .…”

Section: Related Workmentioning

confidence: 99%

“…I.-C. HSU been reported recently by researchers [17][18][19][20][21]. The service models of cloud computing are usually classified as IaaS, PaaS, and SaaS [22,23].…”

mentioning

confidence: 99%

Multilayer context cloud framework for mobile Web 2.0: a proposed infrastructure

Hsu

2011

SUMMARYExisting context‐aware systems focus only on characterizing the situation of an entity to exhibit the advantage of contextual information association, but they have no mechanism to facilitate the interoperation and reuse of contextual information. Cloud computing offers an adaptable and flexible solution for existing context‐aware applications, integrating Mobile Web 2.0 technologies. This work presents a multilayer context cloud framework (MCCF) that integrates Web 2.0 technologies into a mobile context‐aware system for use in a cloud computing environment. The proposed MCCF includes a context sensor layer, a context information layer, a context service layer, a context representation layer, a cloud computing layer, and a mobile Web 2.0 context‐aware Software as a Service layer. To demonstrate the feasibility of this approach, a Mobile Web 2.0‐based context‐aware Software as a Service platform, which is a cloud computing application based on MCCF, is implemented to provide continuous and context‐aware monitoring of a specific application. Copyright © 2011 John Wiley & Sons, Ltd.

“…Internet Protocol Television (IPTV) is a technology that enables users to transmit and receive TV program data through IP-based wired and wireless networks [5]. The advances in broadband internet access and coding video technologies have made it possible to IPTV to become one of the rapidly developed sections of the internet protocol TV system [6].…”

Section: Introductionmentioning

confidence: 99%

Adaptive scheduling mechanism for IPTV over WiMAX IEEE 802.16j networks

Brahmia

Abouaïssa

Lorenz

2012

A WiMAX technology is a very promising Broadband Wireless Access technology that is able to transmit different service types. This latter can have different constraints such as traffic rate, maximum latency, and tolerated jitter. The IEEE 802.16 Medium Access Control specifies five types of QoS classes: UGS, rtPS, ertPS, nrtPS, and BE. However, the IEEE 802.16 standard does not specify the scheduling algorithm to be used. Operators have the choice among many existing scheduling techniques. Also, they can propose their own scheduling algorithms. In this paper, we propose a scheduling strategy (Adaptive Weighted Round Robin, AWRR) for various Internet Protocol Television (IPTV) services traffic over 802.16j networks. Our scheme adapts dynamically the scheduler operation to according queue load and quality of service constraints. In particular, the proposed mechanism gives more priority to high definition television and standard definition television traffic by using two schedulers. The proposed scheduling algorithm has been simulated using the QualNet network simulator. The experimental results show that our scheduler schemes AWRR have a better performance than the traditional scheduling techniques for rtPS traffic, which allows ensuring QoS requirements for IPTV application.Unsolicited grant service (UGS): such as T1/E1 transport. It requires reserved traffic rate, maximum latency, and tolerated jitter. Extended real-time polling service (ertPS): such as voice of IP (VoIP). It is built on the efficiency of both UGS and rtPS, reduces overhead and access delay of rtPS, and improves uplink resource utilization of the UGS. As a subcategory of rtPS, ertPS has the same QoS parameters as rtPS in the scheduler design. Real-time polling service (rtPS): such as MPEG audio/video streaming and video conferencing. It supports variable bit rate traffic via minimum reserved and maximum sustained traffic rates and requires tolerable stringent latency constraints. Non-real-time polling service (nrtPS): delay tolerant streams with variable-sized packets, for which only minimum reserved and maximum sustained traffic rates are required, such as File Transfer Protocol (FTP). Best effort (BE) service: such as HTTP and email. BE services are handled on a space available basis and do not require tight latency/jitter constraints, with upper limited bandwidth consumption via maximum sustained traffic rate.