Classifier-based availability prediction for computing resource sharing platform
Yuanxia Zhang · Jisuanji gongcheng yu sheji · 2011
The classifier-based availability prediction for computing resource sharing platform is presented and described.It uses the distributed data collector tools and can assess the feasibility and accuracy of predicting desktop resources availability from academic or-ganizations based on the resource usage traces collected from desktop machines.The software framework for automated behavior pre-diction of this approach is discussed subsequently.The prediction processes are also described in detail.The results show that indeed even such a highly volatile environment allows for meaningful and robust prediction of a variety of metrics.It can provide effective support for better usage of resources in computing resource sharing platform and for improving their dependability.