Many service provider service level agreements (SLAs) depend on the ability to measure and monitor performance metrics for packet loss and one-way and two-way delay, as well as related metrics such as delay variation and channel throughput. This measurement capability also provides operators with greater visibility into the performance characteristics of their networks, thereby facilitating pla...

Metrics and measures for physical phenomena are precisely defined and widely accepted. However, metrics and measures for intelligent systems are as yet vaguely defined and controversial. Even the definition of intelligence is not widely agreed upon. A number of metrics and measures have been developed for measuring human performance in scholastic aptitude, athletic ability, and task performance...

We discuss a joint energy-performance metric for mobile ad hoc networks. Previous work in ad hoc networks has concentrated on evaluating routing protocols for either high performance metrics or low energy metrics. The work in this paper evaluates routing protocols based on a metric that accounts for both energy and performance. We present a family of joint energy-performance metrics for ad hoc ...

The National Basketball Association(NBA) has expanded their data gathering and have heavily invested in new technologies to gather advanced performance metrics on players. This expanded data set allows analysts to use unique performance metrics in models to estimate and classify player performance. Instead of grouping players together based on physical attributes and positions played, analysts ...

In this paper, we outline a system for evaluating the performance of scientific research across a number of outcome metrics (e.g. publications, sales, new hires). Our system is designed to classify research performance into a number of metrics, evaluate each metric’s performance using only data on other metrics, and to cast predictions of future performance by metric. This study shows how data ...

......Performance metrics are the foundation of experimental computer science and engineering. Researchers and engineers use quantitative metrics for assessing their new ideas and engineering progress. Obviously, adequate metrics are of primary importance to research progress, whereas inappropriate metrics can drive research and development in wrong or unfruitful directions. The recent trend to...

the general relatively isotropic mean landsberg metrics contain the general relativelyisotropic landsberg metrics. a class of finsler metrics is given, in which the mentioned two conceptsare equivalent. in this paper, an interpretation of general relatively isotropic mean landsberg metrics isfound by using c-conformal transformations. some necessary conditions for a general relativelyisotropic ...

A key issue in semantic reasoning is the computational complexity of inference tasks on expressive ontology languages such as OWL DL and OWL 2 DL. Theoretical works have established worst-case complexity results for reasoning tasks for these languages. However, hardness of reasoning about individual ontologies has not been adequately characterised. In this paper, we conduct a systematic study t...

Many Grid workflow middleware services require knowledge about the performance behavior of Grid applications/services in order to effectively select, compose, and execute workflows in dynamic and complex Grid systems. To provide performance information for building such knowledge, Grid workflow performance tools have to select, measure, and analyze various performance metrics of workflows. Howe...

In recent years both practitioners and academics have shown an increasing interest in the assessment of marketing -performance. This paper explores the metrics that firms select and some reasons for those choices. Our data are drawn from two UK studies. The first reports practitioner usage by the main metrics categories (consumer behaviour and intermediate, trade customer, competitor, accountin...