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- W4287029596 abstract "Coping with the intermittency of renewables is a fundamental challenge, with load shifting and grid-scale storage as key responses. We propose Information Batteries (IB), in which energy is stored in the form of information -- specifically, the results of completed computational tasks. Information Batteries thus provide storage through speculative load shifting, anticipating computation that will be performed in the future. We take a distributed systems perspective, and evaluate the extent to which an IB storage system can be made practical through augmentation of compiler toolchains, key-value stores, and other important elements in modern hyper-scale compute. In particular, we implement one specific IB prototype by augmenting the Rust compiler to enable transparent function-level precomputation and caching. We evaluate the overheads this imposes, along with macro-level job prediction and power prediction. We also evaluate the space of operation for an IB system, to identify the best case efficiency of any IB system for a given power and compute regime." @default.
- W4287029596 created "2022-07-25" @default.
- W4287029596 creator A5001941203 @default.
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- W4287029596 date "2021-08-02" @default.
- W4287029596 modified "2023-09-25" @default.
- W4287029596 title "Information Batteries: Storing Opportunity Power with Speculative Execution" @default.
- W4287029596 doi "https://doi.org/10.48550/arxiv.2108.01035" @default.
- W4287029596 hasPublicationYear "2021" @default.
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