Orientability

To represent the constraints on the host level (and implicitly on the level of feature packs), and uses a dependency matrix. Figure represents an example of a dependency matrix that shows the dependencies between the different hosts, as well as restrictions on these dependencies. The first column and the first row represent a file (database). Each cell contains a set of pairs (C, H), where C indicates the constraint and H indicates the type of dependency. A value of 2 means a strong dependency and 1 indicating a weak dependency. For example, cell (H1, H2) means that if it is satisfied constraint C1 to H1, H2 on the change should happen since a strong dependency. As discussed earlier, it may be two hosts of various dependencies, which consist of a matrix of dependency by multiple pairs in specific cell, using a dependency matrix, are constructed sets. H1 H2 H3 H3 H5 H1 - {(C1,2), (C8,2)} {(C2,2)} 0 0 H2 0 - 0 {(C3,2)} 0 H3 {(C5,1)} 0 - 0 0 H4 0 0 {(C6,2)} 0 - H5 0 0 0 0 0 Figure 7. A Dependency matrix 3.7 Insiders’ knowledge bases Knowledge Base (KB) which defines the data elements from the inside may read. In fact, it is the profile of the inside up to the data elements. The building knowledge based on different levels of the granules of cloud data center. In light of the preceding paragraph, and concluded the following: If the insider gets read access to the knowledge that belongs to the cluster, and she / he can obtain information about the other entire knowledge…