Prediction Model of the Running Time of Tasks Based on Load
Jingbo Yuan
Abstract
Jingbo Yuan
Abstract
The management of resources and scheduling computations in a grid environment is a complex and challenge undertaking,mainly due to resource’s geographic distribution,heterogeneity,dynamic,distributed ownership with different policies and priorities,varying loads,reliability,and availability conditions.Performance measurement,analysis and prediction of distributed systems have become increasingly important,especially,accurately prediction task runtime in order to achieve application performance.This paper presents a load-based task runtime prediction model which is the centre of any scheduling and resource allocation algorithm.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The management of resources and scheduling computations in a grid environment is a complex and challenge undertaking,mainly due to resource’s geographic distribution,heterogeneity,dynamic,distributed ownership with different policies and priorities,varying loads,reliability,and availability conditions.Performance measurement,analysis and prediction of distributed systems have become increasingly important,especially,accurately prediction task runtime in order to achieve application performance.This paper presents a load-based task runtime prediction model which is the centre of any scheduling and resource allocation algorithm.
Key concepts: Computer science, Scheduling (production processes), Distributed computing, Grid, Computation, Task (project management), Reliability (semiconductor), Load balancing (electrical power)