Dissertation/ Thesis

Simulació i modelat d'entorns cloud per a experimentació amb machine learning

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Simulació i modelat d'entorns cloud per a experimentació amb machine learning
Συγγραφείς: Roldán Llinàs, Jordi
Συνεισφορές: Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics, Berral García, Josep Lluís, Gavaldà Mestre, Ricard
Στοιχεία εκδότη: Universitat Politècnica de Catalunya
Έτος έκδοσης: 2010
Συλλογή: Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge
Θεματικοί όροι: Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic, Machine learning -- Computer simulation, Cloud Computing, Simulation, Aprenentatge automàtic -- Simulació per ordinador
Περιγραφή: Nowadays Cloud computing has emerged as one of the most promising computer paradigms. The idea of selling software as a service has promoted IT enterprises to bet for this new paradigm. Cloud computing aims to power the next generation data centers not only offering software as a service but virtual services like hardware, data storage capacity or application logic. The increasing use of Cloud-based applications will also increase the power dedicated to the data centers that support this Clouds. Research in Cloud computing requires solutions that have to be tested in real environments. It is difficult and expensive to set up suitable test-beds for large scale cluster applications. Simulation can fulfill the needs that we find in Cloud computing experimentation. A large data center simulator can save lots of time and effort in Cloud investigation. This project presents the design and development process of some extensions to an existing virtualized data center simulator for Cloud computing research. It is able to reproduce the behaviour of a real Cloud framework and the information that it offers of the execution makes it suitable for testing and investigation purposes. The final idea of this project was to extend the heterogeneity of the tests that can be run by the simulator to use it as a test-bed for machine learning experimentation.
Τύπος εγγράφου: master thesis
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
Relation: https://hdl.handle.net/2099.1/9581; 65753
Διαθεσιμότητα: https://hdl.handle.net/2099.1/9581
Rights: Open Access
Αριθμός Καταχώρησης: edsbas.5854B749
Βάση Δεδομένων: BASE
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  Data: Simulació i modelat d'entorns cloud per a experimentació amb machine learning
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  Data: Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics<br />Berral García, Josep Lluís<br />Gavaldà Mestre, Ricard
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  Data: Universitat Politècnica de Catalunya
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  Data: 2010
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  Data: Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge
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  Data: <searchLink fieldCode="DE" term="%22Àrees+temàtiques+de+la+UPC%3A%3AInformàtica%3A%3AIntel·ligència+artificial%3A%3AAprenentatge+automàtic%22">Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning+--+Computer+simulation%22">Machine learning -- Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Cloud+Computing%22">Cloud Computing</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation%22">Simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Aprenentatge+automàtic+--+Simulació+per+ordinador%22">Aprenentatge automàtic -- Simulació per ordinador</searchLink>
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  Data: Nowadays Cloud computing has emerged as one of the most promising computer paradigms. The idea of selling software as a service has promoted IT enterprises to bet for this new paradigm. Cloud computing aims to power the next generation data centers not only offering software as a service but virtual services like hardware, data storage capacity or application logic. The increasing use of Cloud-based applications will also increase the power dedicated to the data centers that support this Clouds. Research in Cloud computing requires solutions that have to be tested in real environments. It is difficult and expensive to set up suitable test-beds for large scale cluster applications. Simulation can fulfill the needs that we find in Cloud computing experimentation. A large data center simulator can save lots of time and effort in Cloud investigation. This project presents the design and development process of some extensions to an existing virtualized data center simulator for Cloud computing research. It is able to reproduce the behaviour of a real Cloud framework and the information that it offers of the execution makes it suitable for testing and investigation purposes. The final idea of this project was to extend the heterogeneity of the tests that can be run by the simulator to use it as a test-bed for machine learning experimentation.
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      – Text: English
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        Type: general
      – SubjectFull: Machine learning -- Computer simulation
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      – SubjectFull: Cloud Computing
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