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Adaptive Data Scheduling in Mobile Communication

机译:移动通信中的自适应数据调度

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Recently, lot of work was done on Data Dissemination for asymmetrical communication environments. However, majority of studies are confined to push based broadcast and that too in single channel data dissemination. Few studies are on multiple channel data dissemination, but again the access frequencies are assumed fixed for a particular period. Since mobile users data access patterns change dynamically, the allocation of broadcast disks (channels) generated separately by push-pull calculations are not optimal after changes in access patterns. This suggests that the number of broadcasting channels and organization of the data items in the broadcast disks should be continuously updated to match changing access patterns. Creating new broadcast disks from scratch is not feasible in terms of time and efforts. A better solution is to adjust the structure of broadcast disks incrementally to accommodate changes in access patterns. This paper proposed Adaptive Data Scheduling Algorithm for generating broadcast program for multiple channels and compared the results with the FLAT and DL algorithms. It is seen that the proposed incremental algorithm is performing better in terms of scalability and reducing the data access times.
机译:最近,针对非对称通信环境的数据分发已经完成了许多工作。但是,大多数研究仅限于基于推播的广播,也仅限于单通道数据传播。很少有关于多通道数据分发的研究,但是再次假设在特定时期内访问频率是固定的。由于移动用户的数据访问模式是动态变化的,因此在访问模式更改后,由推挽计算分别生成的广播磁盘(通道)的分配不是最佳的。这表明应该不断更新广播磁盘中的广播频道数量和数据项的组织,以匹配不断变化的访问模式。从时间和精力上,从头开始创建新的广播磁盘是不可行的。更好的解决方案是逐步调整广播磁盘的结构,以适应访问模式的变化。提出了一种自适应数据调度算法,用于生成多频道广播节目,并将结果与​​FLAT和DL算法进行比较。可以看出,提出的增量算法在可伸缩性和减少数据访问时间方面表现更好。

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