CAREER: Scalable Self Managing Multimedia Storage

该项目开发了一个增量可扩展和自我管理的平台，用于使用分布式架构进行大量媒体捕获和存储。存储被调整为探索环境，视频传感器和存储块被快速部署，以大量捕获环境。这项工作的目标是平衡存储健壮性需求、块和网络容量。为此，本工作涉及三个重要的研究领域：1)自包含生命周期抽象，允许传感器和存储块独立修剪和管理存储，而无需与其他系统组件协调；2)自组织覆盖机制，定位存储段的候选存储块，使系统可以增量扩展；3)使用存储复制、迁移和恢复的自我管理机制，提供分布式存储。本研究的影响将是利用多媒体传感器的易于获得性，并在没有相关管理成本的情况下扩展高保真多媒体捕获在远程位置的相关性。

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.