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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
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Χαλκιαδάκη, Μαρία Γεώργιος
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Thesis advisor
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Νικολάου, Χρήστος
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Reviewer
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Μαγκούτης, Κώστας
Πλεξουσάκης, Δημήτρης
Μπίλας, Άγγελος
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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.
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Language |
English |
Subject |
Cloud computing |
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Distributed key-value stores |
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Quality of service |
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Ποιότητα Υπηρεσιών |
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Υπολογιστικά νέφη |
Issue date |
2013-11-15 |
Collection
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School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses
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Type of Work--Post-graduate theses
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Permanent Link |
https://elocus.lib.uoc.gr//dlib/7/e/4/metadata-dlib-1386754074-140195-8911.tkl
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Views |
556 |