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Cai, Simin
Publications (9 of 9) Show all publications
Cai, S., Gallina, B., Nyström, D. & Seceleanu, C. (2018). Effective Test Suite Design for Detecting Concurrency Control Faults in Distributed Transaction Systems. In: 8th International Symposium On Leveraging Applications of Formal Methods, Verification and Validation ISoLA 2018: . Paper presented at 8th International Symposium On Leveraging Applications of Formal Methods, Verification and Validation ISoLA 2018, 30 Oct 2018, Limassol, Cyprus (pp. 355-374).
Open this publication in new window or tab >>Effective Test Suite Design for Detecting Concurrency Control Faults in Distributed Transaction Systems
2018 (English)In: 8th International Symposium On Leveraging Applications of Formal Methods, Verification and Validation ISoLA 2018, 2018, p. 355-374Conference paper, Published paper (Refereed)
Abstract [en]

Concurrency control faults may lead to unwanted interleavings, and breach data consistency in distributed transaction systems. However, due to the unpredictable delays between sites, detecting concurrency control faults in distributed transaction systems is difficult. In this paper, we propose a methodology, relying on model-based testing and mutation testing, for designing test cases in order to detect such faults. The generated test inputs are designated delays between distributed operations, while the outputs are the occurrence of unwanted interleavings that are consequences of the concurrency control faults. We mutate the distributed transaction specification with common concurrency control faults, and model them as UPPAAL timed automata, in which designated delays are encoded as stopwatches. Test cases are generated via reachability analysis using UPPAAL Model Checker, and are selected to form an effective test suite. Our methodology can reduce redundant test cases, and find the appropriate delays to detect concurrency control faults effectively.

National Category
Engineering and Technology Computer Systems
Identifiers
urn:nbn:se:mdh:diva-41709 (URN)10.1007/978-3-030-03424-5_24 (DOI)978-3-030-03424-5 (ISBN)
Conference
8th International Symposium On Leveraging Applications of Formal Methods, Verification and Validation ISoLA 2018, 30 Oct 2018, Limassol, Cyprus
Projects
Adequacy-based Testing of Extra-Functional Properties of Embedded Systems (VR)
Available from: 2018-12-20 Created: 2018-12-20 Last updated: 2018-12-20Bibliographically approved
Cai, S., Gallina, B., Nyström, D. & Seceleanu, C. (2018). Specification and Formal Verification of Atomic Concurrent Real-Time Transactions. In: 23rd IEEE Pacific Rim International Symposium on Dependable Computing PRDC 2018: . Paper presented at The 23rd IEEE Pacific Rim International Symposium on Dependable Computing PRDC 2018, 04 Dec 2018, Taipei, Taiwan.
Open this publication in new window or tab >>Specification and Formal Verification of Atomic Concurrent Real-Time Transactions
2018 (English)In: 23rd IEEE Pacific Rim International Symposium on Dependable Computing PRDC 2018, 2018Conference paper, Published paper (Refereed)
Abstract [en]

Although atomicity, isolation and temporal correctness are crucial to the dependability of many real-time database-centric systems, the selected assurance mechanism for one property may breach another. Trading off these properties requires to specify and analyze their dependencies, together with the selected supporting mechanisms (abort recovery, concurrency control, and scheduling), which is still insufficiently supported. In this paper, we propose a UML profile, called UTRAN, for specifying atomic concurrent real-time transactions, with explicit support for all three properties and their supporting mechanisms. We also propose a pattern-based modeling framework, called UPPCART, to formalize the transactions and the mechanisms specified in UTRAN, as UPPAAL timed automata. Various mechanisms can be modeled flexibly using our reusable patterns, after which the desired properties can be verified by the UPPAAL model checker. Our techniques facilitate systematic analysis of atomicity, isolation and temporal correctness trade-offs with guarantee, thus contributing to a dependable real-time database system.

National Category
Engineering and Technology Computer Systems
Identifiers
urn:nbn:se:mdh:diva-41710 (URN)000462280800012 ()978-1-5386-5700-3 (ISBN)
Conference
The 23rd IEEE Pacific Rim International Symposium on Dependable Computing PRDC 2018, 04 Dec 2018, Taipei, Taiwan
Projects
Adequacy-based Testing of Extra-Functional Properties of Embedded Systems (VR)
Available from: 2018-12-18 Created: 2018-12-18 Last updated: 2019-04-11Bibliographically approved
Cai, S., Gallina, B., Nyström, D. & Seceleanu, C. (2017). Customized Real-Time Data Management for Automotive Systems: A Case Study. In: IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY: . Paper presented at 43rd Annual Conference of the IEEE Industrial Electronics Society IECON 2017, 30 Oct 2017, Beijing, China (pp. 8397-8404).
Open this publication in new window or tab >>Customized Real-Time Data Management for Automotive Systems: A Case Study
2017 (English)In: IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2017, p. 8397-8404Conference paper, Published paper (Refereed)
Abstract [en]

Real-time DataBase Management Systems (RTDBMS) have been considered as a promising means to manage data for data-centric automotive systems. During the design of an RTDBMS, one must carefully trade off data consistency and timeliness, in order to achieve an acceptable level of both properties. Previously, we have proposed a design process called DAGGERS to facilitate a systematic customization of transaction models and decision on the run-time mechanisms. In this paper, we evaluate the applicability of DAGGERS via an industrially relevant case study that aims to design the transaction management for an on-board diagnostic system, which should guarantee both timeliness and data consistency under concurrent access. To achieve this, we apply the pattern-based approach of DAGGERS to formalize the transactions, and derive the appropriate isolation level and concurrency control algorithm guided by model checking. We show by simulation that the implementation of our designed system satisfies the desired timeliness and derived isolation, and demonstrate that DAGGERS helps to customize desired real-time transaction management prior to implementation.

Series
IEEE Industrial Electronics Society, ISSN 1553-572X
National Category
Computer Systems
Identifiers
urn:nbn:se:mdh:diva-37061 (URN)10.1109/IECON.2017.8217475 (DOI)000427164808042 ()2-s2.0-85046624820 (Scopus ID)978-1-5386-1127-2 (ISBN)
Conference
43rd Annual Conference of the IEEE Industrial Electronics Society IECON 2017, 30 Oct 2017, Beijing, China
Projects
DAGGERS - Data aggregation for embedded real-time database systemsAdequacy-based Testing of Extra-Functional Properties of Embedded Systems (VR)
Available from: 2017-11-07 Created: 2017-11-07 Last updated: 2018-05-24Bibliographically approved
Cai, S., Gallina, B., Nyström, D. & Seceleanu, C. (2017). DAGGTAX: A Taxonomy of Data Aggregation Processes. Västerås
Open this publication in new window or tab >>DAGGTAX: A Taxonomy of Data Aggregation Processes
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:nbn:se:mdh:diva-35366 (URN)MDH-MRTC-319/2017-1-SE (ISRN)
Projects
DAGGERS
Funder
Knowledge Foundation
Available from: 2017-05-22 Created: 2017-05-22 Last updated: 2017-05-29Bibliographically approved
Cai, S., Gallina, B., Nyström, D. & Seceleanu, C. (2017). DAGGTAX: A taxonomy of data aggregation processes. In: Lecture Notes in Computer Science, vol. 10563: . Paper presented at 7th International Conference on Model and Data Engineering (MEDI), Barcelona, SPAIN, OCT 04-06, 2017 (pp. 324-339). Springer Verlag
Open this publication in new window or tab >>DAGGTAX: A taxonomy of data aggregation processes
2017 (English)In: Lecture Notes in Computer Science, vol. 10563, Springer Verlag , 2017, p. 324-339Conference paper, Published paper (Refereed)
Abstract [en]

Data aggregation processes are essential constituents for data management in modern computer systems, such as decision support systems and Internet of Things (IoT) systems. Due to the heterogeneity and real-time constraints in such systems, designing appropriate data aggregation processes often demands considerable effort. A study on the characteristics of data aggregation processes is then desirable, as it provides a comprehensive view of such processes, potentially facilitating their design, as well as the development of tool support to aid designers. In this paper, we propose a taxonomy called DAGGTAX, which is a feature diagram that models the common and variable characteristics of data aggregation processes, with a special focus on the real-time aspect. The taxonomy can serve as the foundation of a design tool, which we also introduce, enabling designers to build an aggregation process by selecting and composing desired features, and to reason about the feasibility of the design. We apply DAGGTAX on industrial case studies, showing that DAGGTAX not only strengthens the understanding, but also facilitates the model-driven design of data aggregation processes. © 2017, Springer International Publishing AG.

Place, publisher, year, edition, pages
Springer Verlag, 2017
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 10563 LNCS
Keywords
Data aggregation taxonomy, Feature model, Real-time data management, Artificial intelligence, Decision support systems, Internet of things, Real time systems, Taxonomies, Aggregation process, Data aggregation, Feature modeling, Industrial case study, Internet of Things (IOT), Modern computer systems, Real time constraints, Real time data management, Information management
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:mdh:diva-38313 (URN)10.1007/978-3-319-66854-3_25 (DOI)000439935200025 ()2-s2.0-85030711559 (Scopus ID)9783319668536 (ISBN)
Conference
7th International Conference on Model and Data Engineering (MEDI), Barcelona, SPAIN, OCT 04-06, 2017
Available from: 2018-02-12 Created: 2018-02-12 Last updated: 2018-08-17Bibliographically approved
Cai, S., Gallina, B., Nyström, D., Seceleanu, C. & Larsson, A. (2017). Design of Cloud Monitoring Systems via DAGGTAX: A Case Study. Paper presented at The 8th International Conference on Ambient Systems, Networks and Technologies ANT 2017, 16 May 2017, Madeira, Portugal. Procedia Computer Science, 109, 424-431
Open this publication in new window or tab >>Design of Cloud Monitoring Systems via DAGGTAX: A Case Study
Show others...
2017 (English)In: Procedia Computer Science, ISSN 1877-0509, E-ISSN 1877-0509, Vol. 109, p. 424-431Article in journal (Refereed) Published
Abstract [en]

Efficient auto-scaling of cloud resources relies on the monitoring of the cloud, which involves multiple aggregation processes and large amounts of data with various and interdependent requirements. A systematic way of describing the data together with the possible aggregations is beneficial for designers to reason about the properties of these aspects as well as their implications on the design, thus improving quality and lowering development costs. In this paper, we propose to apply DAGGTAX, a feature-oriented taxonomy for organizing common and variable data and aggregation process properties, to the design of cloud monitoring systems. We demonstrate the effectiveness of DAGGTAX via a case study provided by industry, which aims to design a cloud monitoring system that serves auto-scaling for a video streaming system. We design the cloud monitoring system by selecting and composing DAGGTAX features, and reason about the feasibility of the selected features. The case study shows that the application of DAGGTAX can help designers to identify reusable features, analyze trade-offs between selected features, and derive crucial system parameters.

Keywords
data aggregation, information system design, cloud monitoring system design
National Category
Computer Systems
Identifiers
urn:nbn:se:mdh:diva-35493 (URN)10.1016/j.procs.2017.05.412 (DOI)000414533000053 ()2-s2.0-85021817536 (Scopus ID)
Conference
The 8th International Conference on Ambient Systems, Networks and Technologies ANT 2017, 16 May 2017, Madeira, Portugal
Projects
DAGGERS - Data aggregation for embedded real-time database systems
Available from: 2017-06-08 Created: 2017-06-08 Last updated: 2017-11-23Bibliographically approved
Cai, S. (2017). Systematic Design of Data Management for Real-Time Data-Intensive Applications. (Licentiate dissertation). Västerås: Mälardalen University
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
Cai, S. (2015). Modeling Real-time Transactions in UPPAAL. Västerås, Sweden: Mälardalen Real-Time Research Centre, Mälardalen University
Open this publication in new window or tab >>Modeling Real-time Transactions in UPPAAL
2015 (English)Report (Other academic)
Abstract [en]

During the development of an Real-time Database Management System (RTDBMS) one needs to trade-off between data consistency and timeliness. To achieve a systematic method for such trade-off, we must find a way to model the behaviors and properties of real-time transactions. In this report, we experiment with the modeling of transactions and verification of transaction properties in UPPAAL. We build a model for an exemplary transaction with the optimistic concurrency control mechanisms, and model-check the timeliness property.

Place, publisher, year, edition, pages
Västerås, Sweden: Mälardalen Real-Time Research Centre, Mälardalen University, 2015
Series
MRTC Reports, ISSN 1404-3041
Keywords
RTDBMS, database transactions, UPPAAL
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:mdh:diva-30493 (URN)MDH-MRTC-302/2015-1-SE (ISRN)
Projects
DAGGERS - Data aggregation for embedded real-time database systems
Available from: 2015-12-22 Created: 2015-12-21 Last updated: 2017-10-31Bibliographically approved
Cai, S., Gallina, B., Nyström, D. & Seceleanu, C. Data Aggregation Processes: A Survey, A Taxonomy, and Design Guidelines.
Open this publication in new window or tab >>Data Aggregation Processes: A Survey, A Taxonomy, and Design Guidelines
(English)In: Article in journal (Refereed) Epub ahead of print
Abstract [en]

Data aggregation processes are essential constituents for data management in modern computer systems, such as decision support systems and Internet of Things (IoT) systems, many with timing constraints. Understanding the common and variable features of data aggregation processes, especially their implications to the timerelated properties, is key to improving the quality of the designed system and reduce design effort. In this paper, we present a survey of data aggregation processes in a variety of application domains from literature.We investigate their common and variable features, which serves as the basis of our previously proposed taxonomy called DAGGTAX. By studying the implications of the DAGGTAX features, we formulate a set of constraints to be satisfied during design, which helps to check the correctness of the specifications and reduce the design space. We also provide a set of design heuristics that could help designers to decide the appropriate mechanisms for achieving the selected features. We apply DAGGTAX on industrial case studies, showing that DAGGTAX not only strengthens the understanding, but also serves as the foundation of a design tool which facilitates the model-driven design of data aggregation processes.

National Category
Engineering and Technology Computer Systems
Identifiers
urn:nbn:se:mdh:diva-41747 (URN)10.1007/s00607-018-0679-5 (DOI)
Projects
Adequacy-based Testing of Extra-Functional Properties of Embedded Systems (VR)
Available from: 2018-12-18 Created: 2018-12-18 Last updated: 2018-12-18Bibliographically approved
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