By Stefano Ceri, Piero Fraternali, Stefano Paraboschi (auth.), Carlo Zaniolo, Peter C. Lockemann, Marc H. Scholl, Torsten Grust (eds.)
EDBT 2000 is the 7th convention in a sequence devoted to the development of database expertise. This year’s convention distinctive topic, \Connect hundreds of thousands of clients and information Sources," underscores the significance of databases for the knowledge age that's dawning with the hot millennium. the significance - rives not only from the commentary that the data age basically rests on theconvergenceofcommunications,computing,andstorage.Equallyimportant, a number of the recommendations and strategies underlying the luck of databasesystems have self sufficient which means and effect for today’s allotted details s- tems. The papers within the quantity also needs to be obvious during this gentle. The EDBT 2000 convention application comprises 30 learn papers chosen by way of this system committee out of 187 submissions, overlaying advances in learn, improvement, and purposes of databases. The convention software additionally - cludes six andapplications papers,a panel discussion,six tutorials,and a number of software program demonstrations. The convention gains 3 exceptional - vited audio system: Ashish Gupta discusses database concerns in digital trade, Stefano Ceri addresses the impression and demanding situations of XML on databases, and Andreas Reuter stocks his perspectives on new views on database expertise. The technical contributions offered on the EDBT 2000 convention are colle- ed and preserved during this quantity that we're happy to provide to you with the expectancy that it'll function a important examine and reference instrument on your expert life.
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Additional resources for Advances in Database Technology — EDBT 2000: 7th International Conference on Extending Database Technology Konstanz, Germany, March 27–31, 2000 Proceedings
In spite of these efforts, there are still high-dimensional indexing problems under which even specialized index structures deteriorate in performance. To understand the effects leading to this so-called ‘curse of dimensionality’, a variety of methods for estimating the performance of query processing has been developed [3, 4, 9, 10, 14, 15, 17, 19, 31, 32, 35]. These cost models can be used for optimization. Highdimensional query processing techniques offer various parameters for optimization such as dimension reduction [8, 16, 30, 34] or the accuracy of the representation of the features [6, 37].
Now we will claim an important property of the restructuring action: Locality. We show that the size of the interval in the file which is to be restructured is bounded by the size s of the new page multiplied with some factor depending on the storage utilization sumin. Lemma 1. Locality of Restructuring In an index file with a storage utilization su ≤ su min , there exists an interval with the length s l = ---------------------1 – su min containing at least s Bytes of free storage. Proof (Lemma 1) Assume that all intervals of the length l have less than s Bytes of free storage.
Therefore, the access probability X0 corresponds to the ratio of points in the Minkowski sum with respect to all points in the database: ρF DF ⁄ d X 0 = ------ ⋅ V ( R ⊕ C ) ∩ DS(MBR 0, 2r) N Analogously, the access probabilities for the smaller pages X1 and X2 are determined by their page regions MBR1 and MBR2. The access probabilities are used in the cost balance for taking split or merge decisions. 3 Monotonicity Properties of Splitting and Merging The most important precondition for the correctness of a local optimization is the monotonicity of the first derivative of the cost function with respect to the page capacity.
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