USE OF PREDICTIVE PERFORMANCE MODELING DURING LARGE-SCALE SYSTEM INSTALLATION
نویسندگان
چکیده
منابع مشابه
Verifying Large-scale System Performance during Installation Using Modeling
In this paper we describe an important use of predictive application performance modeling the validation of measured performance during a new large-scale system installation. Using a previously-developed and validated performance model for SAGE, a multidimensional, 3D, multi-material hydrodynamics code with adaptive mesh refinement, we were able to help guide the stabilization of the Los Alamos...
متن کاملth Large Installation System Administration
A common way for virtual machine cluster (VMC) to tolerate failures is to create distributed snapshot and then restore from the snapshot upon failure. However, restoring the whole VMC suffers from long restore latency due to large snapshot files. Besides, different latencies would lead to discrepancies in start time among the virtual machines. The prior started virtual machine (VM) thus cannot ...
متن کاملTowards Measuring the Project Management Process During Large Scale Software System Implementation Phase
Project management is an important factor to accomplish the decision to implement large-scale software systems (LSS) in a successful manner. The effective project management comes into play to plan, coordinate and control such a complex project. Project management factor has been argued as one of the important Critical Success Factor (CSF), which need to be measured and monitored carefully duri...
متن کاملPerformance evaluation of first Iranian large scale photovoltaic power plant
In recent years, due to the fact that non-renewable energies come to an end, renewable energy is expected to provide a significant part of the future needs of Iran. Among these energies, solar energy is a suitable option for a wide range of the country, due to availability, proper radiation intensity, and high sunshine times during the year (about 300 sunny days per year). The purpose of this p...
متن کاملLarge-Scale Qualitative Modeling for System Prediction
This paper describes a software tool called GROMIT and associated methods being developed by the Statistical Sciences Group (D-1) at Los Alamos National Laboratory in support of determining dependency structures describing large system behavior. While focused on the problem of reliability prediction, the discussion is relevant to other analytic situations such as determining the actors and beha...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Parallel Processing Letters
سال: 2005
ISSN: 0129-6264,1793-642X
DOI: 10.1142/s0129626405002301