ZLP-Resilience: A General Framework for Resilient Collective Provisioning Under Failures, Disruptions, and Dynamic Reconfiguration
Abstract
Zero-Local-Provisioning (ZLP) provides a conceptual framework for determining whether resources, capabilities, and operational attributes can be omitted from the local configuration of individual objects while their associated functional requirements remain satisfied at the system level. However, a configuration that is feasible under normal operating conditions may become infeasible when shared providers fail, communication paths are interrupted, collective resources become overloaded, or environmental conditions change. These disruptions are particularly important when an object has zero local provisioning of a trait and therefore depends on alternative system-level mechanisms to obtain the corresponding function.
This paper proposes ZLP-Resilience, a conceptual extension of Zero-Local-Provisioning that investigates the resilience of collectively provisioned systems under disruptions and changing operating conditions. Its central principle is that local provisioning decisions should be evaluated not only against nominal functional requirements and lifecycle costs but also against the system's ability to withstand disruptions, maintain essential functions, recover service, and adapt its configuration. The framework explicitly distinguishes nominal feasibility from disruption feasibility and recovery feasibility. It treats local fallback resources, redundant collective providers, functional substitutes, reserve capacity, dependency diversity, and dynamic reconfiguration as alternative mechanisms whose value depends on the operational context.
The paper introduces a formal model incorporating local provisioning quantities, collective service assignments, disruption scenarios, residual service capacity, unmet demand, recovery time, and resilience-related lifecycle costs. It formulates a scenario-based optimization problem that jointly determines local configurations and collective allocations while enforcing mandatory functional and safety constraints. It also defines resilience measures based on service retention, disruption duration, recovery performance, and cumulative unmet demand. A conditional proposition establishes a basic relationship between zero local provisioning, the loss of a sole provider, and the feasibility of maintaining a mandatory function. An implementation architecture and an empirical evaluation methodology are proposed to support systematic comparison with conventional provisioning, ordinary resource sharing, and resilience-aware hybrid configurations.
ZLP-Resilience does not assume that local redundancy is always necessary or that collective provisioning is inherently fragile. Nor does it claim that eliminating local resources necessarily reduces resilience. Instead, it investigates how the location, diversity, substitutability, and recoverability of provisioned functions jointly determine system behavior under adverse conditions. The framework is conceptual and requires implementation, formal analysis, and empirical validation. Its principal research question is whether explicitly integrating zero-permissive local configuration decisions with resilience requirements provides a useful and generalizable methodology for designing heterogeneous systems that remain functional under disruption.
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BibTeX
@misc{zhang2026zlpresilience,
title = {{ZLP-Resilience: A General Framework for Resilient Collective Provisioning Under Failures, Disruptions, and Dynamic Reconfiguration}},
author = {Jincheng Zhang},
howpublished = {Zenodo},
year = {2026},
month = oct,
doi = {10.5281/zenodo.23451137},
url = {https://zenodo.org/records/23451137},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - ZLP-Resilience: A General Framework for Resilient Collective Provisioning Under Failures, Disruptions, and Dynamic Reconfiguration
AU - Jincheng Zhang
PY - 2026
DA - 2026/10/18
PB - Zenodo
DO - 10.5281/zenodo.23451137
UR - https://zenodo.org/records/23451137
AB - Zero-Local-Provisioning (ZLP) provides a conceptual framework for determining whether resources, capabilities, and operational attributes can be omitted from the local configuration of individual objects while their associated functional requirements remain satisfied at the system level. However, a configuration that is feasible under normal operating conditions may become infeasible when shared providers fail, communication paths are interrupted, collective resources become overloaded, or environmental conditions change. These disruptions are particularly important when an object has zero local provisioning of a trait and therefore depends on alternative system-level mechanisms to obtain the corresponding function. This paper proposes ZLP-Resilience, a conceptual extension of Zero-Local-Provisioning that investigates the resilience of collectively provisioned systems under disruptions and changing operating conditions. Its central principle is that local provisioning decisions should be evaluated not only against nominal functional requirements and lifecycle costs but also against the system's ability to withstand disruptions, maintain essential functions, recover service, and adapt its configuration. The framework explicitly distinguishes nominal feasibility from disruption feasibility and recovery feasibility. It treats local fallback resources, redundant collective providers, functional substitutes, reserve capacity, dependency diversity, and dynamic reconfiguration as alternative mechanisms whose value depends on the operational context. The paper introduces a formal model incorporating local provisioning quantities, collective service assignments, disruption scenarios, residual service capacity, unmet demand, recovery time, and resilience-related lifecycle costs. It formulates a scenario-based optimization problem that jointly determines local configurations and collective allocations while enforcing mandatory functional and safety constraints. It also defines resilience measures based on service retention, disruption duration, recovery performance, and cumulative unmet demand. A conditional proposition establishes a basic relationship between zero local provisioning, the loss of a sole provider, and the feasibility of maintaining a mandatory function. An implementation architecture and an empirical evaluation methodology are proposed to support systematic comparison with conventional provisioning, ordinary resource sharing, and resilience-aware hybrid configurations. ZLP-Resilience does not assume that local redundancy is always necessary or that collective provisioning is inherently fragile. Nor does it claim that eliminating local resources necessarily reduces resilience. Instead, it investigates how the location, diversity, substitutability, and recoverability of provisioned functions jointly determine system behavior under adverse conditions. The framework is conceptual and requires implementation, formal analysis, and empirical validation. Its principal research question is whether explicitly integrating zero-permissive local configuration decisions with resilience requirements provides a useful and generalizable methodology for designing heterogeneous systems that remain functional under disruption.
ER -