Cloud computing thesis ideas

Review of basic data structures and their realization in object oriented Environments. Dynamic Data structures: 2-3 trees, Redblack trees, binary heaps, binomial and Fibonacci heaps, Skip lists, Universal Hashing. Data structures for maintaining ranges, intervals and disjoint sets with applications. B-trees. Tries and suffix trees. Priority queues and binary heaps. Sorting: merge, quick, radix, selection and heap sort, Graphs: Breadth first search and connected components. Depth first search in directed and undirected graphs. Disjkra’s algorithm, Directed acyclic graphs and topological sort. Some geometric data-structures. Basic algorithmic techniques like dynamic programming and divide-and-conquer. Sorting algorithms with analysis, integer sorting. Graph algorithms like DFS with applications, MSTs and shortest paths.

In principle, the font size of a tag in a tag cloud is determined by its incidence. For a word cloud of categories like weblogs, frequency, for example, corresponds to the number of weblog entries that are assigned to a category. For smaller frequencies one can specify font sizes directly, from one to whatever the maximum font size. For larger values, a scaling should be made. In a linear normalization, the weight t i {\displaystyle t_{i}} of a descriptor is mapped to a size scale of 1 through f , where t min {\displaystyle t_{\min }} and t max {\displaystyle t_{\max }} are specifying the range of available weights.

Cloud computing thesis ideas

cloud computing thesis ideas


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