Μελέτη επίδοσης συστημάτων επεξεργασίας ροών δεδομένων

Σκούρα, Ελένη; Skoura, Eleni

dc.contributor.author	Σκούρα, Ελένη	el
dc.contributor.author	Skoura, Eleni	en
dc.date.accessioned	2020-10-09T06:15:40Z
dc.date.available	2020-10-09T06:15:40Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/51333
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.19031
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα	*
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/gr/	*
dc.subject	Big data	en
dc.subject	Streaming data	en
dc.subject	Real-time	en
dc.subject	Benchmark	en
dc.subject	Throughput	en
dc.title	Μελέτη επίδοσης συστημάτων επεξεργασίας ροών δεδομένων	el
heal.type	bachelorThesis
heal.classification	Big Data	el
heal.language	el
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2020-07-29
heal.abstract	Over the last few years Big data technology has gained an increasing interest . As a result of the IOT and social media development, a huge volume of streaming data is generated at an unprecedented rate. This volume of streaming data needs to be handled in a timely fashion. Thus, big data processing needs to take place in real-time .The need for scalable and efficient stream analysis has led to the development of many open-source streaming data processing systems (SDPSs) with highly diverging capabilities and performance characteristics. The aim of this thesis is to evaluate the performance of two widely used SDPSs in detail, namely Apache Spark, and Apache Flink. Our evaluation focuses in particular on measuring the throughput and latency of windowed operations, which are the basic type of operations in stream analytics. For this benchmark, we produce streaming big data , which vary depending on the use-cases. This thesis can help the users to choose the appropriate processing engine depending on the application , the data type and the available resources.	en
heal.advisorName	Κοζύρης, Νεκτάριος	el
heal.committeeMemberName	Γκούμας, Γεώργιος	el
heal.committeeMemberName	Τσουμάκος, Δημήτριος	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών. Τομέας Τεχνολογίας Πληροφορικής και Υπολογιστών	el
heal.academicPublisherID	ntua
heal.numberOfPages	118 σ.	el
heal.fullTextAvailability	false