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BORA: A Bag Optimizer for Robotic Analysis
SessionI/O
Event Type
Paper
Tags
Algorithms
File Systems and I/O
Storage
Registration Categories
TP
TimeTuesday, 17 November 202011am - 11:30am EDT
LocationTrack 5
DescriptionWe present BORA, a file system middleware that optimizes the acquisition of bags, which are the robotic operating system (ROS) formatted files. BORA sits between ROS and an existing file system to conduct semantic-aware data pre-processing. It categorizes bag data into groups with each having a distinct label. BORA predigests data index constructions and reduces file open time via a hash-based label management scheme. We implement a BORA prototype and then integrate it into a single-node server, a four-node PVFS storage cluster and a production cluster. Next, we evaluate the BORA prototype using four real-world ROS applications. Experimental results show that compared to a traditional bag management scheme, a BORA-assisted file system improves data acquisition performance by up to 11x. It also offers up to 10x data acquisition performance improvement and 3100x bags open improvement under a swarm robotics data analysis scenario where data is retrieved across multiple bags simultaneously.
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