Modeling and Forecasting of Time-aware Dynamic QoS Attributes for Cloud Services
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- @Article{Syu:ieeeNSM,
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author = "Yang Syu and Chien-Min Wang and Yong-Yi Fanjiang",
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journal = "IEEE Transactions on Network and Service Management",
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title = "Modeling and Forecasting of Time-aware Dynamic {QoS}
Attributes for Cloud Services",
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year = "2019",
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volume = "16",
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number = "1",
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pages = "56--71",
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month = mar,
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keywords = "genetic algorithms, genetic programming, SBSE, Cloud
Services, Time-aware Dynamic Quality of Service,
Time-series Modelling and Forecasting, Machine
Learning",
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DOI = "doi:10.1109/TNSM.2018.2884983",
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ISSN = "1932-4537",
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size = "16 pages",
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abstract = "Currently, statistical time-series methods have
primarily been employed to predict time-aware dynamic
quality of service (QoS) attributes for Web services.
In this paper, we propose the application of genetic
programming (GP) for such predictions. Our experimental
results indicate that the GP-based approach is more
accurate than the other approaches presented for
comparison. However, for the efficient management of
such attributes for cloud services, including their
modelling and forecasting, the current research is
insufficient because a set of research questions
remains unanswered. In this paper, we first clearly
define these research questions and then design and
perform a set of empirical experiments to address the
questions. Finally, the experimental results are
exhaustively discussed to answer the studied research
questions. The empirical study and analysis presented
in this paper could be informative for the management
(modelling and forecasting) of the time-aware dynamic
QoS attributes of cloud services. For example, we
verify that machine-learning approaches are generally
superior to the widely used statistical time-series
methods in terms of both modeling accuracy and
forecasting accuracy. Furthermore, after considering a
variety of situations and cases, the GP-based approach
is still the best option for the studied problem. In
addition, except for the technical approaches, this
paper also exhaustively studies the influence of the
properties of the cloud dynamic QoS attributes,
including their size and time granularity.",
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notes = "National Taipei University of Technology, Also known
as \cite{8558533}",
- }
Genetic Programming entries for
Yang Syu
Chien-Min Wang
Yong-Yi FanJiang
Citations