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Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-0816-5
Abstract: In this work we target horizontal scaling of NoSQL databases, which exhibit highly varying, unpredictable and difficult to model behavior coupled with transient phenomena during VM removals and/or additions. We propose a solution that is…
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Keywords:
model;
nosql databases;
cost aware;
cost ... See more keywords
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Published in 2020 at "International Journal of Aeronautical and Space Sciences"
DOI: 10.1007/s42405-020-00250-1
Abstract: This paper proposes a novel adaptive design of experiment (ADoE) framework with cost-aware sampling strategy and nonstationary surrogate model for efficient wind tunnel testing. The ADoE framework, which is based on the Gaussian process, can…
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Keywords:
experiment;
nonstationary surrogate;
surrogate model;
cost aware ... See more keywords
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Published in 2020 at "Renewable Energy"
DOI: 10.1016/j.renene.2019.09.077
Abstract: Abstract We propose optimization strategies for cooperating households equipped with renewable energy assets and storage devices. We consider two system configurations: In the first configuration, households share access to an energy farm, where electricity is…
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Keywords:
energy;
energy management;
renewable energy;
aware renewable ... See more keywords
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Published in 2017 at "Enterprise Information Systems"
DOI: 10.1080/17517575.2015.1048833
Abstract: Current geographically distributed cloud data centres (CDCs) require gigantic energy and bandwidth costs to provide multiple cloud applications to users around the world. Previous studies only focus on energy cost minimisation in distributed CDCs. However,…
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Keywords:
request routing;
geography;
aware request;
cloud ... See more keywords
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Published in 2021 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2019.2948607
Abstract: With the rapid growth of real-time machine learning applications, the process of feature selection and model optimization requires to integrate with the constraints on computational budgets. A specific computational resource in this regard is the…
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Keywords:
time;
classification using;
aware classification;
model ... See more keywords
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Published in 2021 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3095388
Abstract: With the proliferation of location-based services, geo-textual data is becoming ubiquitous. Objects involved in geo-textual data include geospatial locations, textual descriptions or keywords, and various attributes (e.g., a point-of-interest has its expenses and users' ratings).…
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Keywords:
keyword;
spatial keyword;
information;
distance ... See more keywords