Advances, Systems and Applications
Table 10 This table presents the related works of other kind of prediction using GCT dataset. The algorithm in bold refers to the best model mentioned in the respective article. [Note: SML - Statistical Machine Learning Algorithms, TML - Traditional Machine Learning Algorithms, DL - Deep Learning Algorithms]
From: Cloud failure prediction based on traditional machine learning and deep learning
Article | Prediction scope | Feature Studied | SML | TML | DL |
|---|---|---|---|---|---|
Rasheduzzaman et al. [47] | Workload Prediction | Resource Usage, Resource Request | ANFIS, NARX, ARIMA | - | - |
Liu et al. [48] | Workload Prediction | Job Duration, Job Waiting Time, Job Status, Machine Availability | MA, WMA | MR | NN |
Zhang et al. [49] | Workload Prediction | Resource Request | - | - | RNN |
Hemmat and Hafid [50] | SLA Violation | Resource Request, Resource Usage, Resource Availability | - | DT, RF | - |
Zhang et al. [51] | Request Prediction | Resource Request | - | - | DBN |
Chen et al. [52] | Workload Prediction | Resource Usage | - | SA | RNN, LSTM, GRU, ESN |
Gao et al. [53] | Workload Prediction | Resource Usage, Resource Request | ARIMA | BRR, SVR | LSTM |
Di et al. [54] | Workload Prediction | Resource Usage | SMA, LWMA, EMA, AR | Bayesian Network | - |