面向社交直播(SOLISs)的数据感知准入控制技术

Sumita Barahmand, Shahram Ghandeharizadeh
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引用次数: 0

摘要

社交直播,SOLIS,是由一个设备产生的直播流,其所有者与她的朋友分享流,允许每个朋友在预先指定的持续时间内进行时移观看。系统缓冲这些追逐数据,以方便其浏览和显示。在存在许多Solis的情况下,内存可能会溢出,从而阻止一些追逐数据的显示。本文提出了一种新的数据感知允许控制技术DA-AdmCtrl,该技术主动总结追踪数据,以最大化允许的SOLISs数量,而不会出现内存溢出。它是为使用多核cpu而设计的,只要用户对不同数据格式的满意程度(效用)可用,它就可以最大化数据的效用。
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A Data Aware Admission Control Technique for Social Live Streams (SOLISs)
A SOcial LIve Stream, SOLIS, is a live stream produced by a device whose owner is sharing the stream with her friends, granting each friend to perform time shifted viewing for a pre-specified duration. The system buffers this chase data to facilitate its browsing and display. In the presence of many Solis, memory may overflow and prevent display of some chase data. This paper presents a novel data-aware admission control, DA-AdmCtrl, technique that summarizes chase data pro-actively to maximize the number of admissible SOLISs with no memory overflow. It is designed for use with multi-core CPUs and maximizes utility of data whenever the user's level of satisfaction (utility) with different data formats is available.
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