Special Issue "Selected Papers from the “Integrating Process-oriented, Event-based and Data-driven Systems (ICDCS-PED 2017)”"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".

Deadline for manuscript submissions: closed (1 September 2017)

Special Issue Editors

Guest Editor
Assoc. Prof. Avigdor Gal

Faculty of Industrial Engineering & Management, Technion–Israel Institute of Technology, Haifa 32000, Israel
Website | E-Mail
Interests: databases; complex event processing
Guest Editor
Prof. Dr. Hans-Arno Jacobsen

TU München, 85748 Garching, Germany
Website | E-Mail
Interests: design and the development of middleware systems; event processing; service computing; applications in enterprise data processing
Guest Editor
Dr. Joao E. Ferreira

Department of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, Brazil
Website | E-Mail
Interests: database systems; workflows; transaction processing; business processes

Special Issue Information

Dear Colleagues,

The integration of process-oriented and event-based approaches is long overdue. For example, enterprises frequently need to refine and reengineer their processes to meet constraints and opportunities placed by changing markets, technological innovations, and new regulations. The ability to handle such changes in a timely and robust way is one of the major challenges for Process-Oriented Information Systems (POIS) that deal with heterogeneity, reactivity and adaptability in business process reengineering, in particular, and enterprise applications, in general. A change may range from single instance modifications (ad hoc) to structural schema modifications for all instances (evolutionary changes). On the one hand, process-oriented information systems have been providing significant advances for control-flow issues in order to provide the coordination of atomic activities. On the other hand, event-based systems have been supporting heterogeneous challenges by isolating and handling of event communications from information systems. Interesting opportunities for innovative research are abound in the interactions among and integration of the process-oriented, event-based, and data-driven approaches. The workshop is joined by ICDCS 2017 and will be inclusive, bringing together previously-separated communities that now want to interact: Process-oriented (e.g., BPM), event-based (e.g., DEBS), and data-driven (e.g., database conferences). Priority will be given to works that integrate the various process-oriented, event-based and data-driven approaches.

Topics included, but are not limited to:

  • Process-oriented systems and business process management
  • Event-driven systems and event management
  • Data-driven systems and process management
  • Business and scientific workflow systems
  • Complex Events and Complex Control-flows
  • Events for flexible and adaptive process management

Assoc. Prof. Avigdor Gal
Prof. Dr. Hans-Arno Jacobsen
Dr. Joao E. Ferreira
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 850 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

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Research

Open AccessArticle Querying Workflow Logs
Information 2018, 9(2), 25; doi:10.3390/info9020025
Received: 29 November 2017 / Revised: 2 January 2018 / Accepted: 12 January 2018 / Published: 25 January 2018
PDF Full-text (953 KB) | HTML Full-text | XML Full-text
Abstract
A business process or workflow is an assembly of tasks that accomplishes a business goal. Business process management is the study of the design, configuration/implementation, enactment and monitoring, analysis, and re-design of workflows. The traditional methodology for the re-design and improvement of workflows
[...] Read more.
A business process or workflow is an assembly of tasks that accomplishes a business goal. Business process management is the study of the design, configuration/implementation, enactment and monitoring, analysis, and re-design of workflows. The traditional methodology for the re-design and improvement of workflows relies on the well-known sequence of extract, transform, and load (ETL), data/process warehousing, and online analytical processing (OLAP) tools. In this paper, we study the ad hoc queryiny of process enactments for (data-centric) business processes, bypassing the traditional methodology for more flexibility in querying. We develop an algebraic query language based on “incident patterns” with four operators inspired from Business Process Model and Notation (BPMN) representation, allowing the user to formulate ad hoc queries directly over workflow logs. A formal semantics of this query language, a preliminary query evaluation algorithm, and a group of elementary properties of the operators are provided. Full article
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Open AccessFeature PaperArticle A Distributed Ledger for Supply Chain Physical Distribution Visibility
Information 2017, 8(4), 137; doi:10.3390/info8040137
Received: 9 September 2017 / Revised: 21 October 2017 / Accepted: 30 October 2017 / Published: 2 November 2017
PDF Full-text (956 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
Supply chains (SC) span many geographies, modes and industries and involve several phases where data flows in both directions from suppliers, manufacturers, distributors, retailers, to customers. This data flow is necessary to support critical business decisions that may impact product cost and market
[...] Read more.
Supply chains (SC) span many geographies, modes and industries and involve several phases where data flows in both directions from suppliers, manufacturers, distributors, retailers, to customers. This data flow is necessary to support critical business decisions that may impact product cost and market share. Current SC information systems are unable to provide validated, pseudo real-time shipment tracking during the distribution phase. This information is available from a single source, often the carrier, and is shared with other stakeholders on an as-needed basis. This paper introduces an independent, crowd-validated, online shipment tracking framework that complements current enterprise-based SC management solutions. The proposed framework consists of a set of private distributed ledgers and a single blockchain public ledger. Each private ledger allows the private sharing of custody events among the trading partners in a given shipment. Privacy is necessary, for example, when trading high-end products or chemical and pharmaceutical products. The second type of ledger is a blockchain public ledger. It consists of the hash code of each private event in addition to monitoring events. The latter provide an independently validated immutable record of the pseudo real-time geolocation status of the shipment from a large number of sources using commuters-sourcing. Full article
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