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Identifier 000381369
Title Managing service performance in NoSQL distributed storage systems
Alternative Title Διαχείριση απόδοσης υπηρεσιών σε NoSQL κατανεμημένα συστήματα αποθήκευσης
Author Χαλκιαδάκη, Μαρία Γεώργιος
Thesis advisor Νικολάου, Χρήστος
Reviewer Μαγκούτης, Κώστας
Πλεξουσάκης, Δημήτρης
Μπίλας, Άγγελος
Abstract A new class of distributed data stores, often referred to as NoSQL key-value stores, have recently been developed to support large-scale data-centric services. Cloud service offerings of these technologies combine their performance and availability Benefits with the flexible economic model of Cloud computing. Enterprises that have invested into Cloud technologies are now raising their expectations from best-e ort to guaranteed levels of service. Responding to this need, the research community is now focusing on data-centric services that support controlled performance, predictable reliability, and guaranteed I/O throughput. In this thesis we describe the architecture of a quality-of-service (QoS) infrastructure for achieving controlled application performance over the Apache Cassandra distributed key-value store. We present an implementation of our architecture and provide results from an evaluation using an extended version of Yahoo Cloud Serving Benchmark (YCSB) on the Amazon EC2 Cloud. A key focus of this thesis is on a QoS-aware measurement-driven provisioning methodology. Our evaluation provides evidence that the methodology is effective in estimating application resource requirements and thus in achieving the type of controlled performance required by data intensive performance-critical applications. While our architecture is implemented and evaluated in the context of the Cassandra distributed storage system, its principles are general and can be applied to a variety of NoSQL systems.
Language English
Subject Cloud computing
Distributed key-value stores
Quality of service
Ποιότητα Υπηρεσιών
Υπολογιστικά νέφη
Issue date 2013-11-15
Collection   Faculty/Department--Faculty of Sciences and Engineering--Department of Computer Science--Post-graduate theses
  Type of Work--Post-graduate theses
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