CSR--SMA: ACLI-Ware: Dynamic Data Driven Control for Wirelessly Implemented Application Systems

ACLI软件：无线实现应用系统的动态数据驱动控制该项目为移动的计算创建了一个端到端的管理解决方案，该解决方案通过应用需求整合了物理无线通信介质的各个方面。我们的中间件（ACLI-ware）将抽象的信息向更高层移动，使它们具有通道感知能力，并将约束和要求传递给更低的层，使它们具有应用感知能力。 在提供应用信道感知时，关于无线信道、电池功率、邻居及其距离、路由长度等的信息从较低层向较高层抽象。例如，金属墙的外观可能需要选择替代路由并定义新的通信集群。 另一方面，一个密集的网络需要聪明的干扰缓解算法和公平的调度和路由算法。 应用程序还使用此信息来调节发送速率或调整数据保真度。 为了实现应用感知，诸如延迟、公平性、服务质量等应用的约束影响在较低层使用的算法。例如，严格的延迟约束可能导致更小的通信集群、更短的允许路由和来自物理介质的快速反馈算法。另一方面，高带宽/吞吐量的要求，需要最佳的集群和高保真channel-feedback.This项目耦合两个组件很少放在一起：和使用的物理信道信息的适应和启发的应用程序的限制，影响通信特性。因此，在ACLI件中有两个关键的创新：（a）层之间的交互，其中每一层取决于其它层的输入，以及（B）动态解决方案，其中算法实时地适应于变化的信道条件和系统要求。

ACLI-ware: Dynamic Data Driven Control for Wirelessly Implemented Application SystemsThis project creates an end-to-end management solution for mobile computing that incorporates aspects from the physical wireless communication medium through application requirements. Our middleware(ACLI-ware) moves abstracted information towards higher layers, making them channel aware, and conveys constraints and requirements towards lower layers, making them application aware. In providing applications channel awareness, information about the wireless channel, battery power, neighbors and their distances, lengths of routes, etc. are abstracted from the lower layers towards higher layers. For example, the appearance of a metallic wall may require selecting alternate routes and defining new communication clusters. On the other hand, a dense network requires clever interference-mitigation algorithms and fair-scheduling and routing algorithms. This information is also used by the application to throttle sending rates or adapt data fidelity. To achieve application awareness, applications' constraints such as latency, fairness, quality of service, etc. influence the algorithms used at lower layers. For example, tight latency constraints can lead to smaller communication clusters, shorter allowable routes and quick feedback algorithms from the physical medium. On the flip side, a high bandwidth/throughput requirement entails optimal clustering and high fidelity channel-feedback.This project couples two components seldom brought together: and use of physical channel information for adaptation and the elicitation of application constraints to impact communication characteristics. Thus, there are two key innovations in ACLI-ware: (a) interaction amongst layers, with each layer depending on the other layers' inputs and (b) dynamic solutions, with algorithms that adapt in real-time to varying channel conditions and system requirements.