CAREER: Scalable Self Managing Multimedia Storage

该项目开发了一个可增量扩展的自我管理平台，用于使用分布式体系结构捕获和存储大量媒体。存储调整到探索性环境，在这种环境中，视频传感器和存储砖被快速部署，以大量捕获环境。这项工作的目标是平衡存储健壮性要求、砖块和网络容量。为此，这项工作涉及三个重要的研究领域：i)独立的生命周期抽象，它允许传感器和存储砖独立地修剪和管理存储，而不需要与其他系统组件协调；ii)自组织覆盖机制来定位用于存储段的候选存储砖，使得系统可以增量地扩展；以及iii)使用存储复制、迁移和恢复来提供分布式存储的自我管理机制。这项研究的影响将是利用多媒体传感器的易获得性，并扩展远程位置的高保真多媒体捕获的相关性，而无需相关的管理成本。

This project develops an incrementally scalable and self-managing platform for profuse media capture and storage using a distributed architecture. The storage is tuned to exploratory environments where video sensors and storage bricks are quickly deployed to profusely capture the environment. The goal of this work is to balance the storage robustness requirements, brick and network capacity. To this end, this work addresses three important research areas: i) self-contained lifetime abstraction that lets the sensors and storage bricks to independently prune and manage the storage without coordination with other system components ii) self-organizing overlay mechanisms to locate candidate storage bricks for storing segments such that the system can be incrementally scalable, and iii) self-management mechanisms using storage replication, migration and rejuvenation to provide the distributed storage. The impact of this research will be to leverage the easy availability of multimedia sensors and extend the relevancy of high fidelity multimedia capture in remote locations without the associated management costs.