Analysis and optimization of Cloud software in shared environment with adaptive resource allocation

Παπαθανασόπουλος, Ρήγας; Papathanasopoulos, Rigas

dc.contributor.author	Παπαθανασόπουλος, Ρήγας	el
dc.contributor.author	Papathanasopoulos, Rigas	en
dc.date.accessioned	2015-11-25T08:25:29Z
dc.date.available	2015-11-25T08:25:29Z
dc.date.issued	2015-11-25
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/41632
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.10253
dc.rights	Αναφορά Δημιουργού - Μη Εμπορική Χρήση - Παρόμοια Διανομή 3.0 Ελλάδα	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/3.0/gr/	*
dc.subject	Νέφος	el
dc.subject	Πληροφορική νεφών	el
dc.subject	Εικονικές μηχανές	el
dc.subject	Εικονικοποίηδη	el
dc.subject	Δρομολογητής	el
dc.subject	Cloud	en
dc.subject	Cloud computing	en
dc.subject	Virtual machines	en
dc.subject	Virtualization	en
dc.title	Analysis and optimization of Cloud software in shared environment with adaptive resource allocation	en
dc.title	Ανάλυση και βελτιστοποίηση της επίδοσης cloud εφαρμογών σε διαμοιραζόμενα περιβάλλοντα με προσαρμοστική ανάθεση πόρων	el
heal.type	bachelorThesis
heal.secondaryTitle	Ανάλυση και βελτιστοποίηση της επίδοσης cloud εφαρμογών σε διαμοιραζόμενα περιβάλλοντα με προσαρμοστική ανάθεση πόρων	el
heal.classification	Πληροφορική	el
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2015-02-13
heal.abstract	Cloud computing is one of the most important computer science parts of nowadays. A wide range of modern applications have already become cloud-based, while more and more applications of all kinds are planning to do the same aiming to a more efficient operation. In this thesis we will study the behavior of some representative families of cloud applications whenever they are executed in cloud environments. We will especially focus on determining the interference that is caused by the “coexistence” of different application during they share common resources on a data center, and study how this affects their performance. The analysis of the behavior and the performance of the applications in shared environments will take place considering the different needs each application has for different resources (like processing power, memory, network etc.). The conclusions that will be drawn by this analysis will be used to create a scheduling algorithm that will place the applications in different combinations, based on their needs for resources, in a way that will allow better server utilization and a good overall performance.	en
heal.advisorName	Κοζύρης, Νεκτάριος	el
heal.committeeMemberName	Κοζύρης, Νεκτάριος	el
heal.committeeMemberName	Τσανάκας, Παναγιώτης	el
heal.committeeMemberName	Γκούμας, Γεώργιος	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών. Τομέας Τεχνολογίας Πληροφορικής και Υπολογιστών. Εργαστήριο Υπολογιστικών Συστημάτων	el
heal.academicPublisherID	ntua
heal.numberOfPages	69 σ.	el
heal.fullTextAvailability	true