Abstract: In an autonomic management method for self-configuring a subject entity in a data processing system, the subject entity retrieves, from a set of rules published by an authority entity, one or more rules corresponding at least one category of the subject entity. Each rule defines a desired state for a category, and at least one retrieved rule includes at least one formal parameter defining a correlation with at least one further category. For each retrieved rule, the subject entity resolves each formal parameter included in the retrieved rule by associating each further category specified in the formal parameter with at least one further subject entity belonging to the further category. The subject entity also applies the retrieved rule to configure the subject entity according to the desired state specified in the retrieved rule.

Abstract: A resource management method (400c) and a corresponding system implementing an adaptive model are proposed. The method allows an authority to define a desired target state of several kinds of resources, which are directly controlled by different subjects. The authority publishes (460) a series of rules in a shared repository; each rule indicates the target state of a resource for a corresponding logic or physic category of the subjects. Each subject retrieves (444-456;462-468) the rules corresponding to its logic category from the shared repository. The rules are then applied (458;469) by the subject; as a result, the physic category of the subject is updated. The subject now retrieves and applies the rules corresponding to its physic category. In this way, different dependency schemes may be implemented without any explicit definition in the rules.

Abstract: A resource management method (400c) and a corresponding system implementing an adaptive model are proposed. The method allows an authority to define a desired target state of several kinds of resources, which are directly controlled by different subjects. The authority publishes (460) a series of rules in a shared repository; each rule indicates the target state of a resource for a corresponding category of the subjects. Each subject retrieves (444-456;462-468) the rules corresponding to its category from the shared repository. The rules are then applied (458;469) by the subject directly. In this way, the subjects self-adapt to the rules, without requiring any direct interaction with the authority.

Abstract: A resource management method (500) and a corresponding system implementing an adaptive model are proposed. The method allows an authority to define a desired target state of several kinds of resources, which are directly controlled by different subjects. The authority publishes a series of rules in a shared repository; each rule indicates the target state of a resource for a corresponding category of the subjects. Each subject provides (509-515) the corresponding category to an associated helper (120). The helper retrieves (521-530) the rules corresponding to the category of the subject from the shared repository. The helper then enforces (533-564) application of the rules on the subject. In this way, the subjects adapt to the rules without requiring any direct interaction with the authority, even if they do not have the necessary computational power required to be completely autonomous.