Scheduling Management for Multiple Real-Time Data over On-Demand Mobile Environments

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI:10.1109/MobServ.2015.59

Ding-Jung Chiang, Ching-Sheng Wang, Chien-Liang Chen, Wen-Jay Lo

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引用次数: 4

Abstract

Many time-constraint applications operate on continuous queries and need real-time data services in on-demand mobile environments. Providing deadline guarantees for queries over dynamic multiple data is a challenging problem due to continuous query rates and time-varying contents. The accurately approximated optimum distributions is used to obtain analytical expressions for performance metrics such as average real-time miss rate and outage probability. The normal probability distribution function of client request to channel hopping is approximated. In the analysis multiple channel model based on currently transmitting is considered over independent and not identically distributed wireless channels. In addition the performance of currently transmitting is compared with the QoS-based management scheme for real-time query processing. The numerical results are validated by linear programming simulations. It is shown that for broadcasting real-time data placement, this contribution is very useful and efficient for exact performance analysis and design of wireless multi-channel links.

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按需移动环境下多实时数据调度管理

许多有时间限制的应用程序运行在连续查询上，需要在按需移动环境中提供实时数据服务。由于连续的查询率和时变的内容，为动态多个数据的查询提供截止日期保证是一个具有挑战性的问题。利用精确逼近的最优分布，得到了平均实时缺陷率和停机概率等性能指标的解析表达式。给出了客户端请求到信道跳变的正态概率分布函数。在分析中，考虑了基于当前传输的多信道模型在独立和非同分布的无线信道上。此外，将当前传输的性能与基于qos的实时查询处理管理方案进行了比较。通过线性规划仿真验证了数值结果。结果表明，对于广播实时数据放置，这一贡献对于无线多信道链路的精确性能分析和设计是非常有用和有效的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2015 IEEE International Conference on Mobile Services

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