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Constant-factor guarantees under constant slackness and extension

Determine whether there exists an online algorithm for the online block packing problem that achieves a constant-factor approximation to the offline optimal social welfare when both the average-capacity slackness Δ and the extension Γ are fixed constants independent of the resource dimension m; alternatively, ascertain whether a constant-factor approximation exists that only inflates the per-block maximum capacity by a constant factor while leaving the long-run average capacity unchanged.

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Background

The paper’s general-case algorithm achieves approximation with slackness and extension parameters that scale as O(log m). It is unknown whether similar constant-factor guarantees are achievable when both augmentation parameters are absolute constants independent of m, which would be more attractive in blockchain applications.

An easier target proposed by the authors is to obtain a constant-factor approximation by allowing only a constant inflation of the per-block maximum capacity without enforcing average-capacity control, which could simplify practical deployment but may be computationally challenging.

References

Our integral results rely on slackness and extension parameters that grow with the dimension~m. Does a constant-factor approximation exist when both parameters are fixed constants, independent of~m? An easier but still interesting target is a constant-factor approximation that merely inflates the maximum block size by a constant factor, without controlling the long-run average. All three challenges remain open even in the fully patient regime (\rho_i=0).

Online Block Packing (2507.12357 - Eliezer et al., 16 Jul 2025) in Subsubsection “Constant guarantees with constant augmentation,” Open Problems and Future Work