mdh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
DAGGTAX: A Taxonomy of Data Aggregation Processes
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. (Formal Modelling and Analysis of Embedded Systems)
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. (Dependable Software Engineering)ORCID iD: 0000-0002-6952-1053
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. (Model-Based Engineering of Embedded Systems)ORCID iD: 0000-0003-2898-9570
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. (Formal Modelling and Analysis of Embedded Systems)ORCID iD: 0000-0003-2870-2680
2017 (English)Report (Other academic)
Abstract [en]

Data aggregation processes are essential constituents in many data management applications. Due to their complexity, designing data aggregation processes often demands considerable efforts. A study on the features of data aggregation processes will provide a comprehensive view for the designers and ease the design process. Existing works either propose application-specific aggregation solutions, or focus on particular aspects of aggregation processes such as aggregate functions, hence they do not offer a high-level, generic description. In this paper, we propose a taxonomy of data aggregation processes called DAGGTAX, which builds on the results of an extensive survey within various application domains. Our work focuses on the features of aggregation processes and their implications, especially on the temporal data consistency and the process timeliness. We present our taxonomy as a feature diagram, which is a visual notation with formal semantics. The taxonomy can then serve as the foundation of a design tool that enables designers to build an aggregation process by selecting and composing desired features. Based on the implications of the features, we formulate three design rules that eliminate infeasible feature combinations. We also provide a set of design heuristics that could help designers to decide the appropriate mechanisms for achieving the selected features. 

Place, publisher, year, edition, pages
Västerås, 2017.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-35366ISRN: MDH-MRTC-319/2017-1-SEOAI: oai:DiVA.org:mdh-35366DiVA: diva2:1097298
Projects
DAGGERS
Funder
Knowledge Foundation
Available from: 2017-05-22 Created: 2017-05-22 Last updated: 2017-05-29Bibliographically approved
In thesis
1. Systematic Design of Data Management for Real-Time Data-Intensive Applications
Open this publication in new window or tab >>Systematic Design of Data Management for Real-Time Data-Intensive Applications
2017 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Modern real-time data-intensive systems generate large amounts of data that are processed using complex data-related computations such as data aggregation. In order to maintain the consistency of data, such computations must be both logically correct (producing correct and consistent results) and temporally correct (completing before specified deadlines). One solution to ensure logical and temporal correctness is to model these computations as transactions and manage them using a Real-Time Database Management System (RTDBMS). Ideally, depending on the particular system, the transactions are customized with the desired logical and temporal correctness properties, which are achieved by the customized RTDBMS with appropriate run-time mechanisms. However, developing such a data management solution with provided guarantees is not easy, partly due to inadequate support for systematic analysis during the design. Firstly, designers do not have means to identify the characteristics of the computations, especially data aggregation, and to reason about their implications. Design flaws might not be discovered, and thus they may be propagated to the implementation. Secondly, trade-off analysis of conflicting properties, such as conflicts between transaction isolation and temporal correctness, is mainly performed ad-hoc, which increases the risk of unpredictable behavior.

In this thesis, we propose a systematic approach to develop transaction-based data management with data aggregation support for real-time systems. Our approach includes the following contributions: (i) a taxonomy of data aggregation, (ii) a process for customizing transaction models and RTDBMS, and (iii) a pattern-based method of modeling transactions in the timed automata framework, which we show how to verify with respect to transaction isolation and temporal correctness. Our proposed taxonomy of data aggregation processes helps in identifying their common and variable characteristics, based on which their implications can be reasoned about. Our proposed process allows designers to derive transaction models with desired properties for the data-related computations from system requirements, and decide the appropriate run-time mechanisms for the customized RTDBMS to achieve the desired properties. To perform systematic trade-off analysis between transaction isolation and temporal correctness specifically, we propose a method to create formal models of transactions with concurrency control, based on which the isolation and temporal correctness properties can be verified by model checking, using the UPPAAL tool. By applying the proposed approach to the development of an industrial demonstrator, we validate the applicability of our approach.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2017
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 258
National Category
Computer Systems
Identifiers
urn:nbn:se:mdh:diva-35369 (URN)978-91-7485-334-6 (ISBN)
Presentation
2017-06-12, Kappa, Mälardalens högskola, Västerås, 13:30 (English)
Opponent
Supervisors
Projects
DAGGERS
Funder
Knowledge Foundation
Available from: 2017-05-23 Created: 2017-05-22 Last updated: 2017-07-10Bibliographically approved

Open Access in DiVA

fulltext(1109 kB)13 downloads
File information
File name FULLTEXT01.pdfFile size 1109 kBChecksum SHA-512
923b76a9eb1a6a1165e72a773acb4ec51d2bfdc7082c859a2271570205a804eb84a9e8bdc915e4c7c5742ba54a77235ce08113d68f2b4a205c6fd6fb07be5726
Type fulltextMimetype application/pdf

Other links

http://www.es.mdh.se/publications/4628-

Search in DiVA

By author/editor
Cai, SiminGallina, BarbaraNyström, DagSeceleanu, Cristina
By organisation
Embedded Systems
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 13 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 55 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf