The evaluation of parallel job schedulers hinges on the workloads used. It is suggested that this be standardized, in terms of both format and content, so as to ease the evaluation and comparison of different systems. The question remains whether this can encompass both traditional parallel systems and metacomputing systems. This paper is based on a panel on this subject that was held at the workshop, and the ensuing discussion; its authors are both the panel members and participants from the audience. Naturally, not all of us agree with all the opinions expressed here...
CM-line loading of R-trees is useful to improve node utilization and query performance. WTepresent an algorithm for bulk loading R-trees -r&id diifers horn previous ones in two aspects (a) it partitions input data into subtrees in a top-down fashion (based on the fact that splits close to the root are likely to have a greater impact on performance), (b) at each tree level, it considers all cuts orthogonal to the coordinate axes that result in packed trees and greedily picks those optimizing an arbitrary cost function. EMm.sive esperirnentation with both real and synthetic data indicate that for region data our algorithm requires up to three times fewer disk accesses than other algorithms.It is the method of choice for data with skew in locations, areas, or aspect ratios. Such data is common in practice.
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