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Network management policies can be classi ed into the following three major categories: Event Condition Action Policies Event condition action (ECA) policies describe rules dictating behavior of a management system, as described in Section 231 They describe management actions that should be taken in response to network or external events, provided that certain conditions hold An example of such a policy is one where an event such as a network intrusion or a performance problem triggers an action that recon gures the network to mitigate the problem Another example deals with time-based recon guration, such as weekly installation of new virus signatures; here the triggering event is a weekly timer Access Control Policies Access control policies describe rules that specify whether to grant or deny permission to entities to perform various actions, as described in Section 232.

PCIM de nes two hierarchies of object classes: (a) structural classes representing policy information and control of policies and (b) association classes that indicate how instances of the structural classes are related to each other The policy classes and associations de ned in this model are suf ciently generic to allow them to represent policies related to different applications Policy rules may be aggregated into policy groups, and these groups may be nested to represent a hierarchy of policies Policy groups are either (a) aggregations of policy rules or (b) aggregations of policy groups The set of conditions associated with a policy rule speci es when the policy rule is applicable If the set of conditions associated with a policy rule evaluates to true, then the set of actions associated with that rule is executed.

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They prescribe which operations are permitted by which users on which resources These policies specify targets, which include resources (the entity being accessed), subjects (the entity accessing the resource), and actions (the operations that the subject performs on the target); conditions, which describe conditions under which the access is allowed or disallowed; and effect, which is either allow or deny Con guration Policies Con guration policies specify con guration parameters for network elements, services, protocols, and software components, as described in Sections 233 and 234 They can be divided into two categories:.

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for the network operator To assess the capacity of the network as a transport service production facility , we need to know its topology, link capacities and call admission control policy Together, these constrain the set of possible services that the network can support simultaneously This is important for the economic modelling of a network that we pursue in 4 We de ne for each contract and its resulting connection an effective bandwidth This is a simple scalar descriptor which associates with each contract a resource consumption weight that depends on static parameters of the contract Calls that are easier to handle by the network, ie easier to multiplex, have smaller effective bandwidths A simple call admission rule is to ensure that the sum of the effective bandwidths of the connections that use a link are no more than the link s bandwidth.

PCIM does not contain any structures that enable a user to de ne any concrete conditions or actions, with the exception of time-period-based conditions The latter allow a user to specify temporal conditions that capture the semantics of a condition that is true if certain time constraints are satis ed for example, Day of the week = Saturday or Sunday Time of day = 8am to 5pm and so on The PCIM model went through several iterations and was nally accepted as a proposed standard in early 2001 However, it was felt that certain extensions to this information model were necessary, and this resulted in the PCIMe information model (PCIM extensions) The work on PCIM extensions focuses on incorporating mechanisms for describing certain kinds of conditions and actions that are of general utility and are not dependent on the domain of application.

into a policy management engine, which, in turn, generates network con gurations based on stored policies. This provides for automation of network con guration in response to current network status, which is one of the bene ts of close coupling between the FCAPS functions. Thus, in contrast to the typical stovepiped implementation of the TMN FCAPS model, Figure 1.7 ties together the FCAPS functions via policies. MANET management is therefore

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