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| 003 | ZW-GwMSU | ||
| 005 | 20241119124211.0 | ||
| 008 | 241119b |||||||| |||| 00| 0 eng d | ||
| 022 | _a2043-9989 | ||
| 040 |
_aMSU _bEnglish _cMSU _erda |
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| 050 | 0 | 0 | _aQA76.S85 INT |
| 100 | 1 |
_aRak, Massimiliano _eauthor |
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| 245 | 1 | 0 |
_aPrediction of cost and performance of cloud applications _ccreated by Massimiliano Rak, Antonio Cuomo, Umberto Villano and Giuseppe Aversano |
| 264 | 1 |
_aUnited Kingdom: _bInderscience, _c2015 |
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| 336 |
_2rdacontent _atext _btxt |
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| 337 |
_2rdamedia _aunmediated _bn |
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| 338 |
_2rdacarrier _avolume _bnc |
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| 440 |
_aInternational journal of cloud computing _vVolume 4 , number 1 , |
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| 520 | 3 | _aThe pay-per-use business model is one of the key factors for the success of the cloud computing paradigm: resources are acquired only when needed and charged on the basis of their actual usage. The execution of applications in the cloud implies costs that depend on the usage of the leased resources and on the resource pricing model adopted by the providers. This paper presents a technique to evaluate the tradeoff between costs and performance of cloud applications through the use of benchmarks and simulation. Given a mOSAIC cloud application, it is possible to predict performance indexes and resource consumption under generic workloads. This makes it possible to choose the deployment on the resources of the provider that guarantees the desired performance levels and minimises the costs for executing the application. | |
| 650 |
_aDiscrete-event simulation _vPerformance prediction _xCloud computing |
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| 700 | 1 |
_aCuomo, Antonio _eco-author |
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| 700 | 1 |
_aVillano, Umberto _eco-author |
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| 700 | 1 |
_aAversano, Giuseppe _eco-author |
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| 856 | _uhttps://doi.org/10.1504/IJCC.2015.067707 | ||
| 942 |
_2lcc _cJA |
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| 999 |
_c168263 _d168263 |
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