A METHOD FOR ADAPTIVE RESOURCE RESERVATION IN MULTILEVEL STRUCTURES OF COMPLEX INFORMATION SYSTEMS
DOI:
https://doi.org/10.35546/kntu2078-4481.2025.4.2.22Keywords:
information system, method, fault tolerance, multilevel structure, reservation.Abstract
The paper addresses the problem of ensuring the fault tolerance of complex information systems that possess a hierarchical multilevel structure under conditions of a limited shared pool of reserve resources. It is shown that static reservation schemes and centralized control methods, in which all decisions are made by a single global controller, scale poorly, create a single point of failure, and do not provide sufficient flexibility in the presence of multiple and cascading failures at different levels of the system. A multi-agent method for adaptive resource reservation in the multilevel structures of complex information systems is proposed. Within the proposed model, a software agent is assigned to each structure, level and element; the agent locally monitors the state of its object, detects failures and degradations, computes a local adaptive reservation index that integrates the failure risk, function criticality, expected improvement of quality indicators and the cost of reserve resources, and generates a formalized request to the reserve-pool agent. The agents are coordinated through a protocol for distributing a shared repository (pool) of reserve resources, in which requests are ranked according to an aggregated utility measure that takes into account the priorities of critical functions, while decisions on resource allocation are made subject to global constraints. Simulation experiments comparing the proposed approach with static and centralized schemes demonstrate that the method provides an increase in the integral availability of critical functions by 2–3 and 4–6 percentage points, respectively, as well as a 20–30% reduction in the mean time to recovery due to the possibility of parallel reactions of agents in different structures and the absence of a bottleneck in the form of a single controller. The obtained results indicate that the adaptive reservation method ensures a better balance between fault tolerance, efficiency of reserve-resource utilization and scalability for a wide class of multilevel complex information systems.
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