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Selected Results of the Workshop on Data Storage Research 2025
George Amvrosiadis, Ali R. Butt, Vasily Tarasov, Erez Zadok, and Ming Zhao
With the emergence of new computing paradigms (e.g., cloud and edge computing, big data, Internet of Things, deep learning) and new storage hardware (e.g., non-volatile memory, shingled-magnetic recording disks) a number of open challenges and research issues need to be addressed to ensure sustained storage systems efficacy and performance. The wide variety of applications demands that the fundamental design of storage systems should be revisited to support application-specific semantics. Existing standards and abstractions need to be reevaluated; new sustainable data representations need to be designed to efficiently support emerging applications. To take advantage of hardware advancements, new storage software designs are also necessary to maximize overall system efficiency and performance.