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17 work group [10], has been designed particularly to address this need for Ethernet transport See a brief overview of RPR in Section 117 RPR s ability to guarantee SONET-level protection and restoration time, and its efficient statistical multiplexing capability, together with its support for multiple classes of services with strict performance guarantees, make it an ideal traffic management layer for Ethernet-based services Unlike LAN/enterprise networks, in which Ethernet dominates, carrier networks are known for sophisticated and effective management capabilities, and set a high standard for reliability, availability, fast failover, and recovery to ensure that Service Level Agreements (SLAs) made by providers can be met One of the greatest challenges facing service providers as they deploy Ethernet-based solutions in WAN environments lies in achieving the same level of Operations, Administration, and Maintenance (OAM) support that users are accustomed to receiving with traditional carrier networks.

Specifically, SLAs attached to specific services need to be met without regard to the underlying technologies used to provide them Ethernet OAM is one of the capabilities required to meet SLAs It includes link performance monitoring, fault detection and fault signaling, and loopback testing Many standard bodies and forum are addressing this challenge: ITU-T Y1730 Ethernet-based networks and services provides the Ethernet OAM objectives, requirements, and a quick view of what types of functions need to be implemented, as well as some of the underlying reasons for implementing the function..

and the same direction as r. As a consequence, one can recover the magnitude y of r from y atan2 q tr C r 1 a2 a2 a2 ; 32 13 21 2 C:125

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Solvents 44.9 68.79 29.61 15.18 9.38 2.97 2) 12.84 39.53 34.97 8.4 7) 22.57 17.93 96.63 14.16 4.28 3) 94.52 1) 56.1 32.7 61.12 28.73 15.22 10.20 2.20 2) 10.44 26.2 2) 36.37 32.96 9.8 7) 22.07 16.39 89.49 13.18 3.94 3) 85.19 1) 48.8 19.5 39.14 19.44 11.00 7.80 1.51 2) 6.54 26.68 22.91 6.4 7) 15.47 10.93 66.40 8.98 2.76 3) 61.63 1) 34.9 76.35 52.38 21.85 10.22 10.38 7.93 17.64 5.30 17.46 25.61 53.8 45.94 19.45 51.4 23.41 109.3 18.77 9.29 3) 100.4 62.50 22.6 26.4 78.14 56.53 24.50 11.98 11.24 8.50 19.00 5.21 17.51 28.16 53.4 43.21 17.48 30.14 51.2 23.76 113.9 84.5 19.41 8.91 3) 100.7 62.82 21.96 28.2 71.46 60.95 24.82 11.23 5.04 17.66 57.1 47.0 19.33 32.40 52.5 26.84 127.2 96.8 20.92 106.2 66.65 22.9 30.4 46.94 25.44 12.34 8.01 19.75 37.12 31.50 10.81 20.1 33.60 17.08 86.1 13.12 5.32 3) 77.3 45.44 16.5 76.84 62.63 27.04 13.74 12.83 9.52 20.92 4.79 16.90 28.39 51.1 41.80 16.28 26.94 49.0 23.59 116.2 86.6 18.82 7.22 3) 102.4 1) 63.61 21.28 43.6 4) 21.7 4) 16.9 4) 96.3 4) 67.36 70.78 30.5 16.19 15.07 11.26 22.77 4.45 16.63 27.37 51.6 42.80 14.97 28.35 27.24 47.5 24.39 115.8 85.6 18.94 6.69 3) 103.6 1) 65.75 21.6 29.2

1 2 2 3

(3.2)

e e It is clear from equation (3.57) that mlk ^ decreases with an increase in dlk ^ , and vice versa. The value of mlk ^ is maximum ( 1.0) when dlk ^ is zero (i.e., if a e e e pattern ^ and the lk th case are identical). The value of mlk ^ is minimum ( 0) e e e when dlk ^ ! l. When dlk ^ l=2 0:5, an ambiguous situation arises. A pattern ^ is selected randomly from any class Ck , and it is considered to be the e rst case if the case base (CBk) corresponding to that class (Ck ) is empty. Otherwise, the mlk ^ values are computed that correspond to the cases elk in the case e e e base, CBk. The pattern ^ is selected as a new case, if mlk ^ 0:5; 8 lk . When a case is selected, it is inserted into the case base. After repeating this process over all of the training patterns, a set of cases for each class is obtained, and these constitute the case base. The case base, CB, for the entire training set S is the union of all of the CBk (i.e., CB M CBk ). After the formation of this k 1 e case base, CB, a case elk for which mlk ^ 0:5 is minimum is deleted from CB e e if there are a number of patterns with mlk ^ > 0:5 [or with dlk ^ < l=2]. The processes of insertion and deletion are repeated until the case base becomes stable; that is, the set of cases does not show any further changes. The deletion process reduces the possibility that a spurious pattern will be considered to be a representative case.

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