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In BLOCKINthis BLOCKINpaper, BLOCKINa BLOCKINcomprehensive BLOCKINmethodology BLOCKINfor BLOCKINdesigning BLOCKINand BLOCKINquerying BLOCKINParallel BLOCKINRational BLOCKINData BLOCKINWarehouses (PRDW) BLOCKINover BLOCKINdatabase BLOCKINclusters, BLOCKINcalled BLOCKINFragmentation BLOCKIN& BLOCKINAllocation BLOCKIN(F&A) BLOCKINis BLOCKINproposed. BLOCKINF&A(More)
The process of designing a parallel data warehouse has two main steps: (1) fragmentation and (2) allocation of generated fragments at various nodes. Usually, fragmentation and allocation tasks are used iteratively (we first split the warehouse horizontally and then allocate fragments over the nodes). The main drawback of such design approach (called(More)
Data fragmentation and allocation in distributed and parallel Database Management Systems (DBMS) have been extensively studied in the past. Previous work tackled these two problems separately even though they are dependent on each other. We recently developed a combined algorithm that handles the dependency issue between fragmentation and allocation. A(More)