for multidimensional data. However, to date there has been little or no work on multidimensional query optimization. Recently, Microsoft has proposed "OLE DB for OLAP" as a standard multidimensional interface for databases. OLE DB for OLAP defines Multi-Dimensional Expressions (MDX), which have

and backchase

-known skyline operator was reused in metric similarity search as a “multi-example ” query type. When applied on a multi-dimensional database (i.e., on a multi-attribute table), the traditional skyline opera-tor selects all database objects that are not dominated by other objects. The metric skyline query adopts

multidimensional data efficiently, we need access methods (AMs) to selectively access some data items in a large collection associatively. Traditional database AMs like B+-tree and hashing are not suitable for multidimensional data as they can handle only one dimensional data. Using multiple B+-trees (one per

Many queries that constrain multiple dimensions simultaneously are difficult to express and compute efficiently in both Structured Query Language (SQL) and multi-dimensional languages. We introduce the diamond cube operator, filling a gap among existing data warehouse operations. It aids decision

operator was reused in metric similarity search as a “multi-example ” query type. When applied on a multi-dimensional database (i.e., on a multi-attribute table), the traditional sky-line operator selects all database objects that are not dominated by other objects. The metric skyline query adopts

2010 to my wife, Joyce, and my family...- Résumé-

Hiermit versichere ich, die vorliegende Master-Thesis ohne Hilfe Dritter nur mit den angegebenen Quellen und Hilfsmitteln angefertigt zu haben. Alle Stellen, die aus Quellen entnommen wurden, sind als solche kenntlich gemacht. Diese Arbeit hat in gleicher oder ähnlicher Form noch keiner Prüfungsbehörde vorgelegen. Darmstadt, den 17. Mai 2011 (Marcel Lucas) The popularity of Networked Virtual Environments (NVE) increased remarkably in recent years where a plethora of players participate concurrently. Traditional approaches applying the Client/Server pattern swiftly reach their limit in terms of scalability and maintainability. Hence, different approaches are based on Peer-to-Peer (P2P) technology. In particular, fast-paced NVEs stress these systems and most likely cause high overlay maintenance overhead. This Master’s Thesis presents a novel approach to spatial Publish/Subscribe (Pub/Sub) in P2P NVEs. The unstructured P2P system BubbleStorm offers flexible and scalable means and is therefore used as a fundamental base for the developed Pub/Sub system. As the evaluation of the subscription is performed

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Intrusion detection/prevention systems (IDSs/IPSs) heavily rely on signature databases and pattern matching (PM) techniques to identify network attacks. The engines of such systems often employ traditional PM algorithms to search for telltale patterns in network flows. The observations that real