Statistical multiplexing of VBR sources: a matrix-analytic approach
Performance Evaluation - Special issue on performance modeling of high speed telecommunication systems
On the self-similar nature of Ethernet traffic
SIGCOMM '93 Conference proceedings on Communications architectures, protocols and applications
Performance Engineering of Software Systems
Performance Engineering of Software Systems
Bitter EJB
Model-Based Performance Prediction in Software Development: A Survey
IEEE Transactions on Software Engineering
Theory, Volume 1, Queueing Systems
Theory, Volume 1, Queueing Systems
Bigtable: a distributed storage system for structured data
OSDI '06 Proceedings of the 7th symposium on Operating systems design and implementation
Extracting Interactions in Component-Based Systems
IEEE Transactions on Software Engineering
Communications of the ACM
Performance evaluation of component-based software systems: A survey
Performance Evaluation
Hadoop: The Definitive Guide
Apache hadoop goes realtime at Facebook
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
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Cloud computing potentially solves some of the major challenges in the engineering of large software systems. With the promise of infinite capacity coupled with the ability to scale at the same speed as the traffic changes, it may appear that performance engineering will become redundant. Organizations might believe that there is no need to plan for the future, to optimize applications, or to worry about efficient operation. This paper argues that cloud computing is an area where performance engineering must be applied and customized. It will not be possible to "cloud wash" performance engineering by just applying previous methods. Rather it is essential to both understand the differences between the cloud and previous systems, and the applicability of proposed performance engineering methods.