End-to-end WAN service availability
IEEE/ACM Transactions on Networking (TON)
Basic Concepts and Taxonomy of Dependable and Secure Computing
IEEE Transactions on Dependable and Secure Computing
Performance and Availability of Internet Data Centers
IEEE Internet Computing
Fast transparent migration for virtual machines
ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Remus: high availability via asynchronous virtual machine replication
NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
VL2: a scalable and flexible data center network
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Availability Modeling and Analysis of a Virtualized System
PRDC '09 Proceedings of the 2009 15th IEEE Pacific Rim International Symposium on Dependable Computing
Adaptive Management of Virtualized Resources in Cloud Computing Using Feedback Control
ICISE '09 Proceedings of the 2009 First IEEE International Conference on Information Science and Engineering
Characterizing cloud computing hardware reliability
Proceedings of the 1st ACM symposium on Cloud computing
LAYSI: A Layered Approach for SLA-Violation Propagation in Self-Manageable Cloud Infrastructures
COMPSACW '10 Proceedings of the 2010 IEEE 34th Annual Computer Software and Applications Conference Workshops
Cloud Computing Operations Research
Service Science
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Cloud computing is the new trend in service delivery, and promises large cost savings and agility for the customers. However, some challenges still remain to be solved before widespread use can be seen. This is especially relevant for enterprises, which currently lack the necessary assurance for moving their critical data and applications to the cloud. The cloud SLAs are simply not good enough. This paper focuses on the availability attribute of a cloud SLA, and develops a complete model for cloud data centers, including the network. Different techniques for increasing the availability in a virtualized system are investigated, quantifying the resulting availability. The results show that depending on the failure rates, different deployment scenarios and fault-tolerance techniques can be used for achieving availability differentiation. However, large differences can be seen from using different priority levels for restarting of virtual machines.