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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,

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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