DocumentCode :
187996
Title :
DoLen: User-Side Multi-cloud Application Monitoring
Author :
Do Le Quoc ; Yazdanov, Lenar ; Fetzer, Christof
Author_Institution :
Syst. Eng. Group, Tech. Univ. Dresden, Dresden, Germany
fYear :
2014
fDate :
27-29 Aug. 2014
Firstpage :
76
Lastpage :
81
Abstract :
Cloud computing is a popular platform offering computation, storage and communication resources as a service. Monitoring the performance and behavior of multi-cloud applications in a scenario where applications are deployed on multiple cloud providers is a challenge for cloud computing research community. In this paper, we propose a framework that allows monitoring in near real-time resource utilization including CPU, memory, disk activity and network traffic of applications deployed in multiple clouds. We conducted various experiments using a cluster to simulate three clouds, showing the framework´s ability to analyze resource consumption of Hadoop applications deployed in clouds in near real-time. We also performed VM-to-VM attacks to evaluate anomaly detection capacity of the proposed framework.
Keywords :
cloud computing; resource allocation; system monitoring; CPU; DoLen; Hadoop applications; VM-to-VM attacks; anomaly detection; cloud computing research community; cloud providers; communication resources; computation resources; disk activity; memory; multicloud application behavior monitoring; multicloud application performance monitoring; network traffic; real-time resource utilization monitoring; resource consumption; storage resources; user-side multicloud application monitoring; Cloud computing; Computer crime; Databases; Measurement; Monitoring; Real-time systems; DoS; cloud monitoring; multi-cloud application;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Internet of Things and Cloud (FiCloud), 2014 International Conference on
Conference_Location :
Barcelona
Type :
conf
DOI :
10.1109/FiCloud.2014.22
Filename :
6984178
Link To Document :
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