Enhancing application robustness in Infrastructure-as-a-Service clouds

Authors:
Madalin Mihailescu;Andres Rodriguez;Cristiana Amza
Affiliations:
Department of Computer Science, University of Toronto;Department of Computer Engineering, University of Toronto;Department of Computer Engineering, University of Toronto
Venue:
DSNW '11 Proceedings of the 2011 IEEE/IFIP 41st International Conference on Dependable Systems and Networks Workshops
Year:
2011

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Software aging in the eucalyptus cloud computing infrastructure: Characterization and rejuvenation

ACM Journal on Emerging Technologies in Computing Systems (JETC) - Special Issue on Reliability and Device Degradation in Emerging Technologies and Special Issue on WoSAR 2011

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Abstract

We propose OX, a runtime system that uses application-level availability constraints and application topologies discovered on the fly to enhance resilience to infrastructure anomalies for cloud applications. OX allows application owners to specify groups of highly available virtual machines. To discover application topologies, OX monitors network traffic among virtual machines, transparently. Based on this information, OX builds on-line topology graphs for applications and automatically partitions these graphs across the infrastructure to enforce availability constraints and optimize communication between virtual machines.