Research on the Resource Monitoring Model Under Cloud Computing Environment

2010 ◽  
pp. 111-118 ◽  
Author(s):  
Junwei Ge ◽  
Bo Zhang ◽  
Yiqiu Fang
Keyword(s):  
Cloud Computing ◽  
Computing Environment ◽  
Resource Monitoring ◽  
Cloud Computing Environment ◽  
Monitoring Model

Anomaly Detection for Nodes Under the Cloud Computing Environment

2021 ◽  
Vol 12 (1) ◽  
pp. 30-48
Author(s):  
Yang Lei ◽  
Ying Jiang
Keyword(s):  
Cloud Computing ◽  
Anomaly Detection ◽  
Time Window ◽  
Computing Environment ◽  
Single Node ◽  
Cloud Computing Environment ◽  
Normalized Mutual Information ◽  
Monitoring Model ◽  
The Status ◽  
Abnormal Node

Due to the services diversity and dynamic deployment, the anomalies will occur on nodes under cloud computing environment. If a single node generates an anomaly, the associated nodes are affected by the abnormal node, which will result in anomaly propagation and nodes failure. In this paper, a method of anomaly detection for nodes under the cloud computing environment is proposed. Firstly, the node monitoring model is established by the agents deployed on each node. Secondly, the comprehensive score is used to identify abnormal data. The anomaly of the single node is judged by the time window-based method. Then, the status of directly associated nodes is detected through normalized mutual information and the status of indirectly associated nodes is detected through the node attributes in the case of a single node anomaly. Finally, other associated nodes affected by the abnormal node are detected. The experimental results showed that the method in this paper can detect the anomalies of single node and associated node under the cloud computing environment effectively.

User Annotated Resource Allocation in Cloud Computing Environment

2011 ◽  
Vol 4 (3) ◽  
pp. 132-133
Author(s):  
Krishnakumar L Krishnakumar L ◽  
◽  
Jimy Joy
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Computing Environment ◽  
Cloud Computing Environment

Workflow Scheduling for Scientific Application in Homogeneous Cloud Environment

2017 ◽  
Vol 7 (7) ◽  
pp. 137
Author(s):  
. Monika ◽  
Pardeep Kumar ◽  
Sanjay Tyagi
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Large Data ◽  
Workflow Scheduling ◽  
Cloud Environment ◽  
Computing Environment ◽  
Scientific Application ◽  
Cloud Computing Environment ◽  
Flow Of Information

In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.

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