Optimization strategies for integration pattern compositions

Daniel Ritter; Norman May; Fredrik Nordvall Forsberg; Stefanie Rinderle-Ma

doi:10.1145/3210284.3210295

Optimization strategies for integration pattern compositions

Daniel Ritter
, Norman May
, Fredrik Nordvall Forsberg
, Stefanie Rinderle-Ma

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

9 Citations (Scopus)

48 Downloads (Pure)

Abstract

Enterprise Application Integration is the centerpiece of current on-premise, cloud and device integration scenarios. We describe optimization strategies that help reduce the model complexity, and improve the process execution using design time techniques. In order to achieve this, we formalize compositions of Enterprise Integration Patterns based on their characteristics, and propose a realization of optimization strategies using graph rewriting. The framework is successfully evaluated on a real-world catalog of pattern compositions, containing over 900 integration scenarios.

Original language	English
Title of host publication	12th ACM International Conference on Distributed and Event-based Systems (DEBS)
Place of Publication	New York
Publisher	Association for Computing Machinery (ACM)
Pages	88-99
Number of pages	12
DOIs	https://doi.org/10.1145/3210284.3210295
Publication status	Published - 25 Jun 2018
Event	12th ACM International Conference on Distributed and Event-Based Systems - Hamilton, New Zealand Duration: 25 Jun 2018 → 29 Jun 2018 Conference number: 12th

Conference

Conference	12th ACM International Conference on Distributed and Event-Based Systems
Abbreviated title	DEBS 2018
Country/Territory	New Zealand
City	Hamilton
Period	25/06/18 → 29/06/18

Keywords

enterprise application integration
enterprise integration patterns
optimization strategies

Access to Document

10.1145/3210284.3210295

Ritter-etal-ACM-DEBS-2018-Optimization-strategies-for-integration-patternAccepted author manuscript, 1.5 MB

Cite this

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title = "Optimization strategies for integration pattern compositions",

abstract = "Enterprise Application Integration is the centerpiece of current on-premise, cloud and device integration scenarios. We describe optimization strategies that help reduce the model complexity, and improve the process execution using design time techniques. In order to achieve this, we formalize compositions of Enterprise Integration Patterns based on their characteristics, and propose a realization of optimization strategies using graph rewriting. The framework is successfully evaluated on a real-world catalog of pattern compositions, containing over 900 integration scenarios. ",

keywords = "enterprise application integration, enterprise integration patterns, optimization strategies",

author = "Daniel Ritter and Norman May and \{Nordvall Forsberg\}, Fredrik and Stefanie Rinderle-Ma",

note = "Copyright {\textcopyright} 2018 ACM. ; 12th ACM International Conference on Distributed and Event-Based Systems, DEBS 2018 ; Conference date: 25-06-2018 Through 29-06-2018",

year = "2018",

month = jun,

day = "25",

doi = "10.1145/3210284.3210295",

language = "English",

pages = "88--99",

booktitle = "12th ACM International Conference on Distributed and Event-based Systems (DEBS)",

publisher = "Association for Computing Machinery (ACM)",

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}

Ritter, D, May, N, Nordvall Forsberg, F & Rinderle-Ma, S 2018, Optimization strategies for integration pattern compositions. in 12th ACM International Conference on Distributed and Event-based Systems (DEBS). Association for Computing Machinery (ACM), New York, pp. 88-99, 12th ACM International Conference on Distributed and Event-Based Systems, Hamilton, New Zealand, 25/06/18. https://doi.org/10.1145/3210284.3210295

Optimization strategies for integration pattern compositions. / Ritter, Daniel; May, Norman; Nordvall Forsberg, Fredrik et al.
12th ACM International Conference on Distributed and Event-based Systems (DEBS). New York: Association for Computing Machinery (ACM), 2018. p. 88-99.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Optimization strategies for integration pattern compositions

AU - Ritter, Daniel

AU - May, Norman

AU - Nordvall Forsberg, Fredrik

AU - Rinderle-Ma, Stefanie

N1 - Conference code: 12th

PY - 2018/6/25

Y1 - 2018/6/25

N2 - Enterprise Application Integration is the centerpiece of current on-premise, cloud and device integration scenarios. We describe optimization strategies that help reduce the model complexity, and improve the process execution using design time techniques. In order to achieve this, we formalize compositions of Enterprise Integration Patterns based on their characteristics, and propose a realization of optimization strategies using graph rewriting. The framework is successfully evaluated on a real-world catalog of pattern compositions, containing over 900 integration scenarios.

AB - Enterprise Application Integration is the centerpiece of current on-premise, cloud and device integration scenarios. We describe optimization strategies that help reduce the model complexity, and improve the process execution using design time techniques. In order to achieve this, we formalize compositions of Enterprise Integration Patterns based on their characteristics, and propose a realization of optimization strategies using graph rewriting. The framework is successfully evaluated on a real-world catalog of pattern compositions, containing over 900 integration scenarios.

KW - enterprise application integration

KW - enterprise integration patterns

KW - optimization strategies

UR - http://www.cs.otago.ac.nz/debs2018//

U2 - 10.1145/3210284.3210295

DO - 10.1145/3210284.3210295

M3 - Conference contribution book

SP - 88

EP - 99

BT - 12th ACM International Conference on Distributed and Event-based Systems (DEBS)

PB - Association for Computing Machinery (ACM)

CY - New York

T2 - 12th ACM International Conference on Distributed and Event-Based Systems

Y2 - 25 June 2018 through 29 June 2018

ER -

Optimization strategies for integration pattern compositions

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Keywords

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