DR2: Dynamic Request Routing for Tolerating Latency Variability in Online Cloud Applications
Refereed conference paper presented and published in conference proceedings


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AbstractApplication latency is one significant user metric for evaluating the performance of online cloud applications. However, as applications are migrated to the cloud and deployed across a wide-area network, the application latency usually presents high variability over time. Among lots of subtleties that influence the latency, one important factor is relying on the Internet for application connectivity, which introduces a high degree of variability and uncertainty on user-perceived application latency. As a result, a key challenge faced by application designers is how to build consistently low-latency cloud applications with the large number of geo-distributed and latency-varying cloud components. In this paper, we propose a dynamic request routing framework, DR2, by taking full advantage of redundant components in the clouds to tolerate latency variability. In practice, many functionally-equivalent components have been already deployed redundantly for load balancing and fault tolerance, thus resulting in low additional overhead for DR2. To evaluate the performance of our approach, we conduct a set of experiments based on two large-scale real-world datasets and a synthetic dataset. The results show the effectiveness and efficiency of our approach.
All Author(s) ListZhu JM, Zheng ZB, Lyu MR
Name of ConferenceIEEE 6th International Conference on Cloud Computing (CLOUD)
Start Date of Conference27/06/2013
End Date of Conference03/07/2013
Place of ConferenceSanta Clara
Country/Region of ConferenceUnited States of America
Year2013
Month1
Day1
PublisherIEEE
Pages589 - 596
eISBN978-0-7695-5028-2
ISSN2159-6182
LanguagesEnglish-United Kingdom
KeywordsCloud computing; component selection; latency prediction; latency variability tolerating; request routing
Web of Science Subject CategoriesComputer Science; Computer Science, Hardware & Architecture; Computer Science, Information Systems

Last updated on 2020-16-10 at 23:55