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usually involved in the communication between the policy manager and other nodes As networks change due to movements, changes in terrain and connectivity, and node destruction, the structure of the clusters changes dynamically and new clusterheads may be elected Some clustering algorithms that can be used for organizing nodes in clusters were discussed in 5 Even though those algorithms were discussed in the context of routing and intrusion detection the same algorithms can be applied here for organizing policy management functions As was discussed in 5, creating and maintaining the clusters introduce some level of network overhead This is a problem in wireless ad hoc network since bandwidth is always limited, but using the clustering approach has the advantage of making the policy management architecture much more dynamic 6244 Con ict Resolution As was discussed in the hierarchical architecture, global policies created at the top policy manager apply throughout the enterprise Local policies may also be created by local policy managers and are applied locally It is possible that such policies may con ict with each other (probably due to errors in de ning those policies) This is also possible within an enterprise environment if policies are very complex Dealing with con icting policies is a challenging research problem that has only been addressed to a limited extent so far We discuss a simple example of such policy con icts A policy may state that no employees should be allowed to perform certain auditing functions on computers At the same time a different policy may specify that administrators are allowed to perform those auditing functions on computers in order to perform their administrative functions Since administrators are employees it is clear that there is a con ict between the two policies Such con icts also may arise in the hierarchical architecture if local policies are not developed carefully enough and may end up con icting with the top-level policies, namely the global policies For example, the policy about administrators discussed earlier may be a local policy while the general policy about employees may be a global policy Careful design of the policies can help alleviate this risk Another possible approach for dealing with policy con icts is prioritizing the various policies If multiple policies con ict with each other, the policies with the highest priority take precedence In the example mentioned earlier, by giving the policy that allows the auditing functions of an administrator higher priority than other policies, the policy con ict will be resolved and the system will provide the expected behavior 625 IETF and DMTF Standardization Activities.

We shall want to maximize measures of system effectiveness (or minimize cost measures) as functions of system parameters More often than not, however, practical design is not the result of straightforward global optimization but involves compromises:

In a real-life application, with potentially hundreds of entity beans, related beans are likely to be packaged up within the same j ar file and can share these XML files Our example has relatively few entity beans and, for simplicity, we will keep the files separate In the file ejb-jar xml for the OrderMasterEB bean, the container managed fields are defined in the following fragment:

<ejb-jar> <enterprise-beans> <entity> <ejb-name>j swc05OrderMasterEB</ejb-name> <home>jswc05OrderMasterEBHome</home> <remote>jswc05OrderMasterEB</remote> <ejb-class>jswc05OrderMasterEBBean</ejb-class> <persistence-type>Container</persistence-type> <prim-key-class>jswc05OrderMasterEBPK</prim-key-class> <reentrant>False</reentrant> <cmp-field>

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consideration a single measure (eg, performance per unit cost) may not do One may have to compromise between performance results obtained under different conditions (eg, different signal amplitudes, temperatures, or initial conditions) Simulation results are only raw material for making such decisions The user has to make intelligent compromises

5

The importance of policy-based management has been well understood within the industry, including the IETF community and other standards organizations Several working groups within IETF have addressed this topic For example, The Resource Allocation Protocol (RAP) Working Group has de ned the Common Open Policy Service (COPS) protocol [117] COPS supports communication of policies between PEPs and PDPs associated with resource reservation requests that are part of the Resource Reservation Protocol (RSVP) [118] When PEPs receive requests for new ows through RSVP request, PEPs communicate with PDPs to request permission to admit the new ows The PDPs check whether the admission of the new ow is consistent with existing policies and if that is the case they allow the PEPs to accept the new ow Event though the COPS protocol was originally developed for a speci c application (namely admitting RSVP requests) COPS was developed assuming a fairly general architecture that is consistent with the policy-based network management architecture discussed earlier

<field-name>or_order_date</field-name> </cmp-field> <cmp-field> <field-name>or_number</field-name> </cmp-field> </entity> </enterprise-beans> <assembly-descriptor> <container-transaction> <method> <ej b-name>jswc 0 5OrderMasterEB</ej b-name> <method-intf>Remote</method-intf> <method-name> * < /method-name> </method> <trans-attribute>Required</trans-attribute> </container-transaction> </assembly-descriptor> </ejb-jar>

Consider a model producing a performance measure such as the controlsystem integrated squared error ISE in Section 1-14,

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