The data scheduling algorithm for P2P streaming media has been a research field in the core problem.
而数据调度算法一直是P 2 P流媒体研究领域中的核心问题。
During execution, data is collected on the actual execution times per executable element, thus allowing validation of the real-time execution against the scheduling algorithm defined in the model.
在执行期间，在每一个可执行元素的实际执行过程中都会收集数据，根据模型中所定义的安排规则来确认实际的执行时间。
In optical burst switching (OBS) networks, the data channel scheduling algorithm is one of the key measures to improve the network performance.
在光突发交换(OBS)网络中，数据信道调度算法是提高网络性能的重要措施之一。
The data channel scheduling algorithm of traditional algorithm in optical burst switch is analyzed.
对光突发交换网络中传统的数据信道调度算法进行了分析。
This algorithm combined sub-carrier allocation in the physical(PHY) layer with traffic scheduling at the data link layer (DLL) by employing the channel state information.
利用物理层的信道状态信息，该算法将物理层（PHY）的子载波分配同数据链路层（DLL）的数据包业务调度结合起来。
The memory structure, constitution of data communication channel and system bus are analyzed, and the algorithm allocating, algorithm mapping and scheduling on the multiprocessor are discussed.
对系统的存储器结构、数据通信通道组成和系统总线结构进行了分析； 讨论了算法划分、算法的多处理器映射及调度；
This paper emphasizes on broadcast content selection strategy and broadcast scheduling algorithm for efficient access of multiple data items.
本文着重研究广播内容选择策略和多数据项广播调度算法。
In order to solve the unfairness in the existing algorithm on data scheduling in P2P media streaming, a new algorithm model having incentive function was proposed.
针对P2P流媒体中现有算法在数据调度时不够公平的问题，提出了一种新的具有激励作用的算法模型。
For satellite data transmission scheduling problem (SDTSP) restrained with time Windows and resources, ant colony optimization algorithm based on solution construction graph model is proposed.
针对具有时间窗口和数传资源限制卫星数传调度问题，提出了基于解构造图模型的蚁群优化算法。
This paper introduces the architecture of on-demand data broadcast and the performance metrics, analysis the basic scheduling algorithm, preemptive scheduling and real-time scheduling algorithms.
本文介绍了基于需求的数据广播的系统结构和性能衡量标准，并分析了基本的广播调度算法，抢占式调度算法以及实时调度算法。
The model and the algorithm have been validated by the real scheduling data.
用实际的运营数据对提出的模型及算法进行了验证。
This paper presents an improved particle swarm optimization algorithm based on P2P streaming media data scheduling method.
本文提出一种基于改进粒子群算法的P 2 P流媒体数据调度方法。
We first presents an extended list scheduling algorithm which extends the classic list scheduling algorithm taking into account the routing and wavelength assignment for data communications.
首先，我们介绍扩展链表调度算法。这个算法在经典的链表调度算法中加入了为数据传输计算波长和路由的算法。
In packet scheduling, fairness of bandwidth allocation is a key factor that determines the algorithm is good or on the contrary and fairness affects QoS of data flow directly.
在分组调度中，带宽资源分配的公平性是决定算法优劣的一个非常重要的因素，而且公平性也会直接影响到数据流的服务质量。
This paper proposes a novel scheduling algorithm called Query-based Scheduling Algorithm(QSA) to address the issue of real-time query processing in on-demand data broadcast environments.
现有的实时数据广播研究中，只考虑了具有截止期约束的单个数据请求的调度问题，而支持实时查询处理的数据广播技术尚未得到足够的关注。
The results show that the algorithm for the multitask adaptive scheduling and the multitarget data processing is suitable for multifunction phased array radars.
运行结果表明，自适应调度方法及多目标数据处理算法是令人满意的。
Simulation results show that the scheduling time of the proposed algorithm is close to LAUC, and the performance of data burst loss probability is better than LAUC-VF.
仿真结果表明，所提出的算法是接近LAUC调度时间，和数据突发损失概率的性能优于LAUC - VF。
Simulation results show that the scheduling time of the proposed algorithm is close to LAUC, and the performance of data burst loss probability is better than LAUC-VF.
仿真结果表明，所提出的算法是接近LAUC调度时间，和数据突发损失概率的性能优于LAUC - VF。
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