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Let Q={q1,q2,q3,q4,q5} be a set of queries, A={A1,A2,A3,A4,A5} be a set of attributes, and S={S1,S2,S3} be a set of sites. The matrix of Figure (a)
Let Q={q1,q2,q3,q4,q5} be a set of queries, A={A1,A2,A3,A4,A5} be a set of attributes, and S={S1,S2,S3} be a set of sites. The matrix of Figure (a) below describes the attribute usage values, and the matrix of Figure (b) gives the application access frequencies. Assume that refs(qk)=1 for all qk and Si. 1) Derive an AA (Attribute Affinity) matrix (Provide all the details how to get it). 2) Derive a CA (Clustered Affinity) matrix using the bond energy algorithm (Provide all the details how to get it). 3) Using the partitioning algorithm ( Z=CTQCBQCOQ2), partition the attributes in the above CA to two partitions
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