Database Sharing (DB-sharing) refers to a general approach for building a distributed high performance transaction system. The nodes of a DB-sharing system are locally coupled via a high-speed interconnect and share a common database at the disk level. This is also known as a “shared dis ~ approach

This paper presents a factorial experimental design for testing which factors controlling the scalability of the Zereal Massively Multiplayer Online Game simulator. The analysis show that the factors explain approximately 97% of the model (measured in square of errors), which is surprisingly high since the simulation is stochastic.

, in military operations, to team workers, and to inhabitants of remote villages. Based on real-world mobility traces, we analyze different dissemination strategies comparing cooperative versus non-cooperative behavior of nodes for storing and/or forwarding content. In particular, we evaluate how

We investigate the scalability, architectural requirements, and performance characteristics of eight scalable scientific applications. Our analysis is driven by empirical measurements using statistical and tracing instrumentation for both communication and computation. Based on these measurements

Abstract Flexibility and portability are important concerns for productive empirical performance evaluation. We claim that these features are best supported by robust instrumentation and measurement strategies, and their integration. Using the TAU performance system as an exemplar performance

, matching, energy-based and phase-based methods. Our comparisons are primarily empirical, and concentrate on the accuracy, reliability and density of the velocity measurements; they show that performance can differ significantly among the techniques we implemented.

) an optimization procedure is then used to search automatically for the optimal parameter values of the segmentation algorithms on the training data set, 4) the segmentation algorithms are then evaluated on the test data set, and, finally, 5) a statistical and error analysis is performed to give the statistical

workload generation tool which mimics a set of real users accessing a server. The tool, called Surge (Scalable URL Reference Generator) generates references matching empirical measurements of 1) server file size distribution; 2) request size distribution; 3) relative file popularity; 4) embedded file

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challenging for induction algorithms. A new evaluation methodology is offered that focuses on the needs of the data mining practitioner faced with a single dataset who seeks to choose one (or a pair of) metrics that are most likely to yield the best performance. From this perspective, BNS was the top single