W. Xie, H. Sun, Y. Cao and K.S. Trivedi. Modeling of online service availability perceived by Web users. Technical Report 2002, Center for Advanced Computing and Communication (CACC), Duke University. Home/Search Document Details and Download
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When Does Fast Recovery Trump High Reliability? - Fox, Patterson (Correct)
....retrying a failed request is a common end user strategy. Merzbacher and Patterson [22] find that for some common services such as search, e railer and directory, if a failed request was retried within about an hour, the retry succeeded between 78 and 100 of the time. In addition, Xie et al. [30] find that when end user behavior (tendency to retry and approximate retry interval) are considered, sites with lower MTTR and lower MTTF are perceived by users as more available than sites having the same Availability (MTTF MTBF) but higher MTTR. This conclusion is currently based on a ....
W. Xie, H. Sun, Y. Cao and K.S. Trivedi. Modeling of online service availability perceived by Web users. Technical Report 2002, Center for Advanced Computing and Communication (CACC), Duke University.
Improving Availability with Recursive Micro-Reboots: A.. - Candea, Cutler, Fox (2003) (1 citation) (Correct)
....used to mask the failure. In contrast, increasing MTTF may reduce the frequency of failures (and therefore the probability that a given user will experience a failure during her session) but does not capture the impact of a particular outage on the user experience or cost to the service provider. [106] found that, when end user behavior is considered, sites with lower MTTR and lower MTTF are perceived by users as more available than sites having the same availability A but higher MTTR. Progress in improving performance was rapid in part because there was a common yardstick benchmarks by ....
W. Xie, H. Sun, Y. Cao, and K. Trivedi. Modeling of online service availability perceived by Web users. Technical report, Center for Advanced Computing and Communication (CACC), Duke University, 2002.
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