NDLI: Quality of experience in distributed databases

Content Provider	Springer Nature Link
Author	Costa, Rogério Luís de Carvalho Furtado, Pedro
Copyright Year	2011
Abstract	This paper proposes an approach to improve the level of Quality of Experience (QoE) that distributed database systems provide.Quality of Experience is a measure of users’ satisfaction when using a certain service or application. Therefore, the main objective of this paper is to provide mechanisms to increase users’ satisfaction when accessing distributed database systems.In traditional database systems, users cannot specify execution-related constraints. Then, the database system cannot evaluate if user expectations are satisfied and neither the system can take corrective actions when necessary.In this work, we present the QoE-oriented distributed database system (QoE-DDB). It allow users to specify Data Access Requirements (DARs) and aims to please users by satisfying the DARs they define. We define a set of types of Data Access Requirements and propose some SQL extensions that enable users to specify execution-related requirements. Proposed types of DARs include execution deadline and priority, execution start and finish times, data availability and freshness degrees, and disconnected execution mode.In our QoE-DDB, each user’s command is transformed into one or more tasks that are executed by data services. Community modules and local data services negotiate Service Level Objectives (SLOs) for each task, which improves the system’s dependability. We propose both QoE-oriented scheduling and dynamic data placement strategies. Proposed architecture and scheduling strategies enable the system to be used in a wide range of distributed environments, from tightly-coupled homogeneous environments (e.g. composed by off-the-shelf computers connected by a LAN) to highly heterogeneous and geographically distributed systems, where data services have some degree of autonomy.Traditional performance indicators (e.g. throughput and response time) are not adequate to measure the QoE a system provides. We also propose some specialized Key Performance Indicators (KPIs) to estimate the QoE level a database system provides.Finally, we present experimental results obtained through the use of benchmark data and queries together with a prototype that implements proposed strategies. In our experiments, we consider realistic scenarios and compare proposed scheduling strategies with their best-effort oriented counterparts. Obtained results prove the importance of our QoE-oriented approach.
Starting Page	361
Ending Page	396
Page Count	36
File Format	PDF
ISSN	09268782
Journal	Distributed and Parallel Databases
Volume Number	29
Issue Number	5-6
e-ISSN	15737578
Language	English
Publisher	Springer US
Publisher Date	2011-05-11
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Distributed database Quality of experience Query scheduling Data placement Service level objectives Data access requirements Performance indicators Operating Systems Data Structures Memory Structures Information Systems Applications (incl.Internet) Database Management
Content Type	Text
Resource Type	Article
Subject	Information Systems and Management Information Systems Software Hardware and Architecture

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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