Resource management of virtual machines in cloud environments

Diamantis, Apostolos; Διαμαντής, Απόστολος

dc.contributor.author	Diamantis, Apostolos	en
dc.contributor.author	Διαμαντής, Απόστολος	el
dc.date.accessioned	2014-10-27T12:11:20Z
dc.date.available	2014-10-27T12:11:20Z
dc.date.issued	2014-10-27
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/39400
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.5481
dc.rights	Default License
dc.subject	Συνομοσπονδία νεφών	el
dc.subject	Cloud federation	en
dc.subject	Διαχείριση πόρων	el
dc.subject	Συλλογή πληροφοριών	el
dc.subject	Συνάθροιση δεδομένων	el
dc.subject	Κεντρική βάση δεδομένων	el
dc.subject	Resource deployment	en
dc.subject	Information collection	en
dc.subject	Data aggregation	en
dc.subject	Central database	en
dc.title	Resource management of virtual machines in cloud environments	en
heal.type	bachelorThesis
heal.classification	Computer science	en
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh89003285
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2014-09-26
heal.abstract	Cloud computing has evolved as one of the most important areas of technology nowadays. The next step in this direction is cloud federations, i.e. unions of clouds that each is probably operated by a different provider. In such an environment, users can deploy resources from any of the clouds that belong to the federation, hence the need for a way to choose the most appropriate provider. In this thesis, we developed a system that automatically collects information from all the VMs of a cloud federation and stores them in a central database. Then, we created a tool that ,based on this information, aims to discover the optimal combination of cloud resources according to the user demands and decision criteria. This system has to be scalable, in other words it has to be able to operate with a great number of users and clouds, so that it can work in a realistic scenario. We tested this aspect of our implementation and the results were satisfactory. Our system currently works with clouds running the Synnefo software and can be extended to support many more.	en
heal.advisorName	Κοζύρης, Νεκτάριος	el
heal.committeeMemberName	Γκούμας, Γεώργιος	el
heal.committeeMemberName	Παπασπύρου, Νικόλαος	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών	el
heal.academicPublisherID	ntua
heal.fullTextAvailability	true