An Extension of DNAContainer with a Small Memory Footprint

Abstract

Abstract Over the past decade, DNA has emerged as a new storage medium with intriguing data volume and durability capabilities. Despite its advantages, DNA storage also has crucial limitations, such as intricate data access interfaces and restricted random accessibility. To overcome these limitations, DNAContainer has been introduced with a novel storage interface for DNA that spans a very large virtual address space on objects and allows random access to DNA at scale. In this paper, we substantially improve the first version of DNAContainer, focusing on the update capabilities of its data structures and optimizing its memory footprint. In addition, we extend the previous set of experiments on DNAContainer with new ones whose results reveal the impact of essential parameters on the performance and memory footprint.