Performance analysis of a hybrid push-pull algorithm with QoS adaptations in wireless networks

Boukerche, Azzedine; Dash, Trivikram; Pinotti, Cristina M.

doi:10.1109/iscc.2004.1358512

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…On the basis of the distribution of the users’ requests, the server periodically broadcasts hot data. This way does not require the requests of users, such as cell broadcasting and military combat. Nowadays, on‐demand broadcasting is more and more widely used, which can organise broadcasting data items in accordance with the dynamic needs of the mobile clients. Mixed broadcasting is a combination of these two ways. Hot data are broadcasted periodically and non‐hot data are broadcasted on demand.…”

Section: Introductionmentioning

confidence: 99%

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An on‐demand data broadcasting scheduling algorithm based on dynamic index strategy

Fan

Luo

et al. 2013

Wireless Communications

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On-demand data broadcasting scheduling is an effective wireless data dissemination technique. Existing scheduling algorithms usually have two problems: (1) with the explosive growth of mobile users and real-time individual requirements, broadcasting systems present a shortage of scalability, dynamics and timeliness (request drop ratio); (2) with the growth of intelligent and entertained application, energy consumption of mobile client cannot be persistent (tuning time). This paper proposes an effective scheduling algorithm LxRxW. It takes into account the number of lost requests during next item broadcasting time, the number of requests and the waiting time. LxRxW can reduce the request drop ratio. At the same time, the algorithm employs a dynamic index strategy to put forward a dynamic adjusting method on the index cycle length (DAIL) to determine the proper index cycle. Extensive experimental results show that the LxRxW algorithm has better performance than other state-of-the-art scheduling algorithms and can significantly reduce the drop ratio of user requests by 40%-50%. The request drop ratio and accessing time of LxRxW with index increase by 1%-2% than LxRxW algorithm without index, but the tuning time decreases by 70%. The index strategy shows that when the index cycle length is less than 20 units, it can significantly reduce the average tuning time but when the index cycle length continues increasing, the average tuning time will increase contrarily. DAIL can dynamically determine the length of index cycle. Moreover, it can reach optimal integrated performance of the request drop ratio, the average accessing time and the average tuning time.

show abstract

Section: Introductionmentioning

confidence: 99%

“…Mixed broadcasting is a combination of these two ways. Hot data are broadcasted periodically and non‐hot data are broadcasted on demand.…”

Section: Introductionmentioning

confidence: 99%

An on‐demand data broadcasting scheduling algorithm based on dynamic index strategy

Fan

Luo

et al. 2013

Wireless Communications

View full text Add to dashboard Cite

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Mobile Push for Converged Mobile Services

Tarkoma

Heikkinen²,

Gurp

Principles and Applications of Distributed Event-Based Systems

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In this chapter, we outline an event-based infrastructure that combines the Session Initiation Protocol (SIP) and Web technologies in order to realize secure converged mobile services. Our main service scenario has been supporting proactive information delivery to airline customers. This application built on top of the infrastructure is designed to help customers in several airport activities, such as check-in and boarding, and to enable highly crowded airports to offer consumer services. We focus on the two key technologies, namely SIP and Web technologies, and outline a distributed system architecture that was developed for the airline scenario. The scenario involves supporting the identification and tracking of users across different networks, enabling proactive information delivery (push) to the devices, and supporting rich multimedia interactions with users. The push system architecture is based on a lightweight access network consists of access points and edge proxies. The edge proxies connect the mobile users to the information backbone in a secure way using TLS or DTLS connections.

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Performance analysis of a hybrid push-pull algorithm with QoS adaptations in wireless networks

Cited by 2 publications

References 15 publications

An on‐demand data broadcasting scheduling algorithm based on dynamic index strategy

An on‐demand data broadcasting scheduling algorithm based on dynamic index strategy

Mobile Push for Converged Mobile Services

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