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Data access will be restricted to those with a need to know, denying access to the data by all others. The business units will determine need to know for all employees. All possible control measures will be applied for maintaining the reliability and accuracy of published and nonpublished information without conflicting with read-only rights. Personal medical information will be managed for control of access in conformance with HIPAA regulations. Directory-enabled access controls will be used for all applications capable of integration with our service directory architecture either through standard LDAP API or custom coding. Finite access controls restricting access to by-name access rights will be used for all financial databases, spreadsheets, and reports.

common traf c characteristics, it may prove more practical to estimate the essential parameters a and d directly. It is well known that application of Erlang's formula leads to scale economies: to achieve a low blocking probability and high utilization (a=c), it is necessary to have a large capacity c. For multirate traf c with blocking probabilities given by Eq. (16.1), the same requirement implies a high value of c=d. The line labeled ``stream'' in Fig. 16.3 shows how achievable utilization a=c in a simple Erlang loss system varies with c for a target blocking probability of 0.01. 16.6.2 Provisioning for Elastic Traf c

Copyright 1999 Gary McGraw and Edward Felten. All rights reserved. Published by John Wiley & Sons, Inc.

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Following the simple service model introduced in Section 16.5, we assume throughput quality of service is satis ed by limiting the number of elastic ows on a link and seek to dimension link capacity such that the blocking probability is less than some low target value E. Consider rst an isolated link handling only elastic ows. Assuming Poisson arrivals, a minimum throughput requirement y, exact fair shares (i.e., processor sharing service), and a link bandwidth of c ny, the probability of blocking is equal to the saturation probability in an M =G=1 processor sharing queue of capacity n: Be rn 1 r = 1 rn 1 where r is the link load. 16:2

Since elastic ows use bandwidth more ef ciently, blocking probability (16.2) can be considerably less than the corresponding probability for stream traf c requiring constant rate y, as given by Erlang's formula E nr; n . The line labeled ``elastic'' in Fig. 16.3 shows achievable utilization r for elastic traf c such that Be , given by Eq. (16.2), is equal to 0.01. These results clearly illustrate the scale economies effect and the greater ef ciency of elastic sharing. The advantage of elastic sharing with respect to rigid rate allocations is somewhat mitigated in a network where ows cannot always attain a full share of available link bandwidth because of congestion on other links of their path and their own limited peak rate. If, however, the ows can at least attain rate y and this rate is guaranteed by admission control on every network link, the utilization predicted by the Erlang formula constitutes a lower bound. In other words, the Erlang formula can be used as a conservative dimensioning tool to determine the traf c capacity of a link dedicated to elastic traf c: a link of capacity c can handle a volume of elastic traf c Ae ( ow arrival rate average size) with minimum throughput y and blocking probability less than E if E Ae ; c=y E. Given the scale economies achieved with the Erlang formula, this simple dimensioning approach is ef cient if c=y is large (e.g., Ae =c > 0:8 if c=y > 100 for a 1% blocking probability). An advantage of the above approach is that the integration of stream and elastic traf c is taken into account simply by including the latter as an additional traf c class in the multirate dimensioning methods alluded to in the previous section. 16.7 CONCLUSION

Most simply stated, the process of authorization is about determining who will get access to what and for what reason. Authorization policy should direct such decisions. Once an end user is authenticated, the results of the authorization policy as applied to any given user or group of users determines how that end user will be dealt with by the access controls. From the perspective of protected and restricted data or resource classifications, authorization policy determines which end user will be granted access and what authentication methods will be required to grant access in various circumstances. Authorization is the link between an identity verified by authentication and the defined access to resources.

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