Поиск по каталогу |
(строгое соответствие)
|
- Профессиональная
- Научно-популярная
- Художественная
- Публицистика
- Детская
- Искусство
- Хобби, семья, дом
- Спорт
- Путеводители
- Блокноты, тетради, открытки
Performance analysis of data grid using GridSim. Grid Computing
В наличии
Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Saranya Ramanathan
ISBN: 9783659192890
Год издания: 2012
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 60
Издательство: LAP LAMBERT Academic Publishing
Цена: 29790 тг
Положить в корзину
Способы доставки в город Алматы * комплектация (срок до отгрузки) не более 2 рабочих дней |
Самовывоз из города Алматы (пункты самовывоза партнёра CDEK) |
Курьерская доставка CDEK из города Москва |
Доставка Почтой России из города Москва |
Аннотация: The GridSim firstly summarizes and defines data grid models and the process of job scheduling, simultaneously analyzes the time and cost of job execution in the data grid. The job scheduling strategy influences the QoS of the data grid immediately and then proposes a design proposal of the job scheduling simulator of data grid based on a grid simulator named GridSim and introduces the architecture, process and key technologies of the job scheduling simulator. By using this simulator we can determine the resource failure so that the performance of the data grid can be analysed. This involves implementation of job scheduling in a grid for handling resource failure using GridSim simulator. Moreover, the resources may suffer failures, and all of this obviously would affect the performance received by the users. In this paper we present an extension to one of the most popular grid simulators GridSim to support variable resource availability. Through which the overall performance can be determined. Finally, it proves that this scheduling simulator can satisfy the need of research on the data grid optimization in Grid Computing.
Ключевые слова: Technology, Grid Computing
Похожие издания
Отрасли знаний: Точные науки -> Информатика и программирование Shelly Gupta Performance Analysis of Data Mining Classification Techniques. Performance Analysis of Various Data Mining Classification Techniques on Healthcare Data. 2012 г., 76 стр., мягкий переплет The present study aimed to do the performance analysis of several data mining classification techniques using three different machine learning tools over the healthcare datasets. In this study, different data mining classification techniques have been tested on four different healthcare datasets. The standards used are percentage of accuracy and... | 30358 тг |