Stress testing is essential for effective sizing, capacity planning, and service level management exercises. Unfortunately such testing can be a difficult and time-consuming process. In particular, for session-based Web applications, it is difficult to create synthetic workload traces that simultaneously satisfy inter-request dependencies and match the parameter values of many other attributes ...

A watershed model can be used to better understand the relationship between land use activities and hydrologic and water quality processes occurring within a watershed. Two different models, SWAT (Soil and Water Assessment Tool) and HSPF (Hydrologic Simulation ProgramFortran), were selected in this study to simulate stream flow, sediment, and nutrients loading from the Polecat Creek watershed i...

The size, scale, and number of subwatersheds can affect a watershed modeling process and subsequent results. The objective of this study was to determine the appropriate level of subwatershed division for simulating flow, sediment, and nutrients over 30 years for four Iowa watersheds ranging in size from 2,000 to 18,000 km2 with the Soil and Water Assessment Tool (SWAT) model. The results of th...

A modeling framework consisting of a farm-scale model, Agricultural Policy Environmental Extender (APEX); a watershed-scale model, Soil and Water Assessment Tool (SWAT); and databases was used in the Conservation Effects Assessment Project to quantify the environmental benefits of conservation practices on cropland. APEX is used to simulate conservation practices on cultivated cropland and Cons...

WaterBase is a project of the United Nations University. Its aim is to advance the practice of Integrated Water Resources Management (IWRM) in developing countries, by providing (a) free, open source tools for modeling and decision support (b) a collection of IWRM resources: web sites, tools, literature, training material, etc. and (c) a community of partners who can provide advice, support, co...

The Stanford Wireless Analysis Tool (SWAT) is a software tool for characterizing wireless networks. It runs automated, user-configurable measurement experiments on any given mesh network and collects per-packet and per-node statistics. SWAT distills these statistics into a handful of metrics such as temporal and spatial correlation of packet receptions. These metrics help users understand how d...

Abstract This study evaluated the performance and hydrologic utility of four different satellite precipitation datasets (SPDs), including GPM (IMERG_F), PERSIANN_CDR, CHIRPS, CMORPH, to predict daily streamflow SL using SWAT hydrological model as well coupled soft computing models (SCMs) such artificial neural networks (SWAT-ANNs), random forests (SWAT-RFs), support vector regression (SWAT-SVR)...

The increasing interest in larger spatial and temporal scale models and high resolution input data processing comes at a price of higher computational demand. This price is evidently even higher when common modeling routines such as calibration and uncertainty analysis are involved. Likewise, methods and techniques for reducing computation time in large scale socio-environmental modeling softwa...

SWAT is a GIS-based basin-scale model widely used for the characterization of hydrology and water quality of large, complex watersheds; however, SWAT has not been fully tested in watersheds with karst geomorphology and downstream reservoir-like embayment. In this study, SWAT was applied to test its ability to predict monthly streamflow dynamics for a 1,555 ha karst watershed, Chapel Branch Cree...