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reductions in binge eating (Wil ey et al., 1993, 2002), with 62% of the patients evidencing abstinence from binge eating at 1-year follow-up (Wil ey et al., 2002). Moreover, the timecourse of almost all outcomes with IPT was identical to that of CBT. In addition, IPT (similar to CBT) had signi cant short- and long-term impact on wide-ranging areas of psychosocial functioning, including improvements in eating disorder and general psychopathology, selfesteem, social adjustment, and interpersonal problems. For BED patients, IPT was rated as credible as CBT, and 53% of the patients actually rated, prior to randomization, a preference for being assigned to IPT over CBT. Although no studies have yet demonstrated the ef cacy of IPT for the treatment of AN, McIntosh and colleagues (2000) are currently conducting a randomized clinical trial comparing IPT, CBT, and routine clinical management for a large sample of young women with AN. This research may support the ef cacy of IPT for the treatment of AN, similar to its demonstrated ef cacy for BN and BED. Because IPT does not focus directly on disturbed attitudes regarding eating, weight, and shape, it may be a more ef cacious treatment than CBT, since CBT and other symptom-focused treatments sometimes encounter resistance from AN patients. However, given the severity of the illness, it is likely that IPT for AN will not be a suf cient stand-alone treatment and instead will need to be delivered in the context of other adjunctive treatments (e.g. pharmacological, nutritional). Moreover, it will be important to determine whether IPT is most well-suited to bring about remission of AN or to prevent relapse or recurrence of the illness.

However, no node identi cation elds are required to be enclosed in the forwarded message When a node has a message to transmit, it broadcasts the message to its neighbors Hence, each node checks whether the sum of its own minimum cost towards the base station and the cost consumed so far by the packet (enclosed in the packet header) equals the minimum path cost declared for the packet (also enclosed in the packet header) If so, the node belongs to the transmitter s least cost path to the base station and, hence, it rebroadcasts the message The process continues this way until the message is delivered to the base station In order to obtain the least cost estimate, the base station oods the network with a message with an initial cost zero, while each node sets its cost estimate to .

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2 2 The transformed parameters ( IG , IG ) and ( G , G ) have much better convergence properties. After taking samples on the transformed parameters, we transform back

As well as making information available for human use, network monitoring provides vital data about the operational state and performance of the network resources for the Grid middleware itself. By analysis of recent measured historic network performance, the middleware can make simple projections of the future potential performance. This network resource information, together with data about CPU and storage capability, will enable efficient scheduling of the Grid for both batch and real-time computing. Thus, network monitoring and the ability to monitor the distributed computing environment at many levels and with various detail is most important to the smooth operation of the Grid. Furthermore, a Grid infrastructure may suffer from multiple failures modes: computer crash, network failure, unplanned resource down-time, and process fault, etc. Once the complexity of fault management is tamed, a Grid in fact holds promise of great reliability, in that its constituent services can be efficiently migrated and rebalanced within a virtual organization. Since many Grid implementations build upon Web Services, the reliability strengths in a Grid will directly depend upon the Web Services ones. Clearly, Web Services started as a document-based exchange to access backend servers. As new functionalities are added and Web Services are increasingly part of everyday processes, it is a fair question to ask whether Web Services are on a trajectory to become increasingly similar to distributed object systems [2], whose difficulties in fault management are well known. This chapter first examines network monitoring, discussing the network characteristics in Section 13.2 followed by the methods of instrumentation and analyzing the data in Section 13.3. The fault management functions follow with an introduction in Section 13.4, Section 13.5 is dedicated to fault detection techniques and Section 13.6 discusses fault recovery and restoration.

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