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DICE: quality-driven development of data-intensive cloud applications

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D. VladušičAuthors Info & Claims

MiSE '15: Proceedings of the Seventh International Workshop on Modeling in Software Engineering

Pages 78 - 83

Published: 16 May 2015 Publication History

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Abstract

Model-driven engineering (MDE) often features quality assurance (QA) techniques to help developers creating software that meets reliability, efficiency, and safety requirements. In this paper, we consider the question of how quality-aware MDE should support data-intensive software systems. This is a difficult challenge, since existing models and QA techniques largely ignore properties of data such as volumes, velocities, or data location. Furthermore, QA requires the ability to characterize the behavior of technologies such as Hadoop/MapReduce, NoSQL, and stream-based processing, which are poorly understood from a modeling standpoint. To foster a community response to these challenges, we present the research agenda of DICE, a quality-aware MDE methodology for data-intensive cloud applications. DICE aims at developing a quality engineering tool chain offering simulation, verification, and architectural optimization for Big Data applications. We overview some key challenges involved in developing these tools and the underpinning models.

References

[1]

{Ard12} D Ardagna, E Di Nitto, et al. MODAClouds: A model-driven approach for the design and execution of applications on multiple Clouds, Proceedings of MiSE 2012, 50--56.

Digital Library

Google Scholar

[2]

{Ber12} S. Bernardi, J. Merseguer, D. C. Petriu. Dependability modeling and analysis of software systems specified with UML. ACM Computing Surveys, 45(1), p. 2, 2012.

Digital Library

Google Scholar

[3]

{Deb11} P. Debois. Devops: A software revolution in the making?, J. Information Technology Management, 2011

Google Scholar

[4]

{Men10} D. A. Menascé, J. M. Ewing, H. Gomaa, S. Malek, J. P. Sousa. A framework for utility-based service oriented design in SASSY. Proceedings of ACM/SPEC WOSP/SIPEW 2010, 27--36.

Digital Library

Google Scholar

[5]

{Mar10} A. Martens, H. Koziolek, S. Becker, R. Reussner. Automatically improve software architecture models for performance, reliability, and cost using evolutionary algorithms. Proceedings of ACM/SPEC WOSP/SIPEW 2010, 105--116

Digital Library

Google Scholar

[6]

{Fra13} D. Franceschelli, D. Ardagna, M. Ciavotta, E. Di Nitto. Space4Cloud: A tool for system performance and cost evaluation of cloud systems. Proceedings of MultiCloud workshop, 27--34, 2013.

Digital Library

Google Scholar

[7]

{Per13} J. F. Perez and G. Casale. Assessing SLA compliance from Palladio component models. Proceedings of the 2nd Workshop on Management of resources and services in Cloud and Sky computing (MICAS), IEEE Press, 2013.

Digital Library

Google Scholar

[8]

{Per15} J. F. Pérez, G. Casale, and S. Pacheco-Sanchez. Estimating Computational Requirements in Multi-Threaded Applications. IEEE Transactions on Software Engineering, to appear in 2015.

Crossref

Google Scholar

[9]

{Zha10} H. Zhao, C. H. Xia, Z. Liu, D. F. Towsley. A unified modeling framework for distributed resource allocation of general fork and join processing networks. Proceedings of ACM SIGMETRICS 2010: 299--310.

Digital Library

Google Scholar

[10]

{Zik11} P. Zikopoulos, C. Eaton. Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data. McGraw-Hill Osborne, 2011.

Digital Library

Google Scholar

Cited By

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Bersani MMarconi FRossi MWolter KKnottenbelt Wvan Hoorn ANambiar MKoziolek H(2018)Trace Checking of Streaming Applications through DICE-TraCTCompanion of the 2018 ACM/SPEC International Conference on Performance Engineering10.1145/3185768.3186287(159-160)Online publication date: 2-Apr-2018
https://dl.acm.org/doi/10.1145/3185768.3186287
Requeno JGascón IMerseguer JWolter KKnottenbelt Wvan Hoorn ANambiar MKoziolek H(2018)Towards the Performance Analysis of Apache Tez ApplicationsCompanion of the 2018 ACM/SPEC International Conference on Performance Engineering10.1145/3185768.3186284(147-152)Online publication date: 2-Apr-2018
https://dl.acm.org/doi/10.1145/3185768.3186284
Marconi FBersani MRossi M(2017)A model-driven approach for the formal verification of storm-based streaming applicationsACM SIGAPP Applied Computing Review10.1145/3161534.316153517:3(6-15)Online publication date: 14-Nov-2017
https://dl.acm.org/doi/10.1145/3161534.3161535
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Index Terms

DICE: quality-driven development of data-intensive cloud applications
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
2. Software and its engineering
  1. Software creation and management
    1. Designing software
      1. Software implementation planning
        Software design techniques
    2. Software development process management
  2. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles

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Published In

MiSE '15: Proceedings of the Seventh International Workshop on Modeling in Software Engineering

May 2015

94 pages

Program Chairs:
Jeff Gray
University of Alabama
,
Marsha Chechik
University of Toronto, Canada
,
Vinay Kulkarni
Tata Consultancy Services Research, India
,
Richard Paige
University of York, UK

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IEEE Press

Publication History

Published: 16 May 2015

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ICSE '15

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ACM
SIGSOFT
IEEE-CS\DATC
TCSE

ICSE '15: 37th International Conference on Software Engineering

May 16 - 24, 2015

Florence, Italy

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Overall Acceptance Rate 13 of 30 submissions, 43%

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2025 IEEE/ACM 46th International Conference on Software Engineering

April 26 - May 3, 2025

Ottawa , ON , Canada

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Cited By

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Bersani MMarconi FRossi MWolter KKnottenbelt Wvan Hoorn ANambiar MKoziolek H(2018)Trace Checking of Streaming Applications through DICE-TraCTCompanion of the 2018 ACM/SPEC International Conference on Performance Engineering10.1145/3185768.3186287(159-160)Online publication date: 2-Apr-2018
https://dl.acm.org/doi/10.1145/3185768.3186287
Requeno JGascón IMerseguer JWolter KKnottenbelt Wvan Hoorn ANambiar MKoziolek H(2018)Towards the Performance Analysis of Apache Tez ApplicationsCompanion of the 2018 ACM/SPEC International Conference on Performance Engineering10.1145/3185768.3186284(147-152)Online publication date: 2-Apr-2018
https://dl.acm.org/doi/10.1145/3185768.3186284
Marconi FBersani MRossi M(2017)A model-driven approach for the formal verification of storm-based streaming applicationsACM SIGAPP Applied Computing Review10.1145/3161534.316153517:3(6-15)Online publication date: 14-Nov-2017
https://dl.acm.org/doi/10.1145/3161534.3161535
Bersani MMarconi FRossi MErascu MGhilardi SErdogmus HHavelund K(2017)Formal verification of data-intensive applications through model checking modulo theoriesProceedings of the 24th ACM SIGSOFT International SPIN Symposium on Model Checking of Software10.1145/3092282.3092300(98-101)Online publication date: 13-Jul-2017
https://dl.acm.org/doi/10.1145/3092282.3092300
Marconi FBersani MRossi MShin SShin DLencastre M(2017)Formal verification of storm topologies through D-VerTProceedings of the Symposium on Applied Computing10.1145/3019612.3019769(1168-1174)Online publication date: 3-Apr-2017
https://dl.acm.org/doi/10.1145/3019612.3019769
Ho LWu JLiu PShih CHuang CHuang C(2017)Efficient Cache Update for In-Memory Cluster Computing with SparkProceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing10.1109/CCGRID.2017.21(21-30)Online publication date: 14-May-2017
https://dl.acm.org/doi/10.1109/CCGRID.2017.21
Davatz CInzinger CScheuner JLeitner P(2017)An Approach and Case Study of Cloud Instance Type Selection for Multi-Tier Web ApplicationsProceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing10.1109/CCGRID.2017.12(534-543)Online publication date: 14-May-2017
https://dl.acm.org/doi/10.1109/CCGRID.2017.12
Bersani MMarconi FRossi MErascu MArdagna DCasale GHoorn AWillnecker F(2016)A tool for verification of big-data applicationsProceedings of the 2nd International Workshop on Quality-Aware DevOps10.1145/2945408.2945419(44-45)Online publication date: 21-Jul-2016
https://dl.acm.org/doi/10.1145/2945408.2945419
Artač MBorovšak TDi Nitto EGuerriero MTamburri DArdagna DCasale GHoorn AWillnecker F(2016)Model-driven continuous deployment for quality DevOpsProceedings of the 2nd International Workshop on Quality-Aware DevOps10.1145/2945408.2945417(40-41)Online publication date: 21-Jul-2016
https://dl.acm.org/doi/10.1145/2945408.2945417
Sheridan CWhigham DArtač MArdagna DCasale GHoorn AWillnecker F(2016)DICE fault injection toolProceedings of the 2nd International Workshop on Quality-Aware DevOps10.1145/2945408.2945415(36-37)Online publication date: 21-Jul-2016
https://dl.acm.org/doi/10.1145/2945408.2945415
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