Dynamic Service Aggregation for Interactive Information Delivery

数字音频和视频作为在计算机和通信系统中操纵的数据越来越普遍。 当前用于基于网络的多点信息递送的资源分配机制本质上是静态的，并且不能支持每个参与者的交互性。 点对点方法可以支持交互性，但对于扩展到大量参与者来说效率低下。 目前，没有技术已经证明能够根据需要重新协商和缩放进行中的每个会话的服务参数，以适应不同的终端设备特性和网络拥塞。 该提案通过定义可分解的服务组来解决这个问题，这些服务组允许交互性、终端特性和服务扩展级别的聚合。 交互性意味着唯一服务组的可用性。 提出了一种基于交互性和会话需求变化动态地将元素重新分配给服务组的机制。 这种机制将允许基于成本、可用资源或用户设备特性来调整服务质量，并且将适应于变化的网络负载。 所提出的方法适用于终端应用程序和数据存储要求的数据伸缩机制的设计的特点。 本研究的具体任务是（1）形式化描述和聚合服务组的模型，（2）开发动态服务聚合协议，（3）识别应用需求到服务组和网络服务质量的映射，（4）建立网络访问机制以支持多会话的服务降级和缩放，以及（5）使用已建立的多点应用和多播协议的仿真、实现和评估。

Digital audio and video are increasingly common as data that are manipulated in computer and communication systems. Current resource allocation mechanisms for network-based multipoint information delivery are static in nature and cannot support interactivity for each participant. Point-to-point approaches can support interactivity but are inefficient for scaling to a large number of participants. Currently, no techniques have demonstrated the ability to renegotiate and scale service parameters per session in progress as required to adapt to differing terminal equipment characteristics and network congestion. The proposal addresses this problem through the definition of decomposable service groups that permit aggregation of interactivity, terminal characteristics, and levels of service scaling. Interactivity implies the availability of a unique service group. A mechanism is proposed to dynamically reassign elements to service groups based on changing interactivity and session requirements. Such a mechanism will allow the adjustment of service quality based on cost, available resources, or user-equipment characteristics, and will adapt to changing network loading. The proposed approach applies the characteristics of end applications and data storage requirements to the design of a data scaling mechanism. Specific tasks of this research are to (1) formalize a model for characterizing and aggregating service groups, (2) develop a protocol for dynamic service aggregation, (3) identify a mapping for application requirements to service groups and network quality of service, (4) the establishment of a network access mechanism to support service degradation and scaling for multiple sessions, and (5) the simulation, implementation, and evaluation using established multipoint applications and multicast protocols.