Next Generation Software: Logistical QoS through Application-Driven Scheduling of Remote Storage

下一代软件：通过应用驱动的远程存储调度的后勤QoS提议项目（后勤计算和互联网络- LoCI）的研究旨在开发能够提供可靠、灵活、可扩展和具有成本效益的服务质量数据交付的中间件。该提案旨在开发新的方法来实现这些功能，其中包括提议的后勤QoS，以提供更灵活的消息缓冲控制，而不需要困难的端到端保证要求。这可以通过开发数据分期等技术来实现，通过提前移动数据并将其存储在靠近接收者的地方，拟议的项目将研究物流网络计算的这些概念。该提案将开发这些方法和技术，并使用现有的工具和协议来实现和测试这些想法，例如互联网背板协议、网络天气服务、NetSolve和PI及其合作PI多年来开发的应用程序级调度系统。这种努力将使中间件支持更容易被应用程序利用。

EIA-9975015 Plank, James S.University of Tennessee-KnoxvilleNext Generation Software: Logistical QoS through Application-driven Scheduling of Remote StorageThe research in the proposed project (Logistical Computing and Internetworking - LoCI) is aimed at developing middleware that can provide reliable, flexible, scalable and cost-effective delivery of data with quality of service.The proposal aims to develop new approaches to enable these capabilities, among which is the proposed logistical QoS, to provide much more flexible control of message buffering without requiring difficult end-to-end guarantee requirements. This can be accomplished by developing techniques like data staging, by moving data in advance and storing them close to the receiver, and the proposed project will investigate such notions of the logistical network computing.The proposal will develop such approaches and techniques and use existing tools and protocols to implement and test these ideas, such as the Internet Backplane Protocol, the Network Weather Service, NetSolve, and the Application Level Scheduling systems that the PI and his co-PI's have developed over the years. The effort will result in middleware support more readily exploited by the applications.