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| 2. |
- Andler, Sten F., et al.
(author)
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DeeDS : Towards a Distributed and Active Real-Time Database Systems
- 1996
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In: ACM Sigmod Record. ; 25:1, s. 38-40
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Journal article (peer-reviewed)abstract
- DeeDS combines active database functionality with critical timing constraints and integrated system monitoring. Since the reactive database mechanisms, or rule management system, must meet critical deadlines, we must employ methods that make triggering of rules and execution of actions predictable. We will focus on the scheduling issues associated with dynamic scheduling of workloads where the triggered transactions have hard, firm or soft deadlines, and how transient overloads may be resolved by substituting transactions by computationally cheaper ones. The rationale for a loosely coupled general purpose event monitoring facility, that works in tight connection with the scheduler, is presented. For performance and predictability, the scheduler and event monitor are executing on a separate CPU from the rest of the system. Real-time database accesses in DeeDS are made predictable and efficient by employing methods such as main memory resident data, full replication, eventual consistency, and prevention of global deadlocks.
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| 3. |
- Berndtsson, Mikael, et al.
(author)
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13 Organizations' Attempts to Become Data-Driven
- 2020
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In: International Journal of Business Intelligence Research. - : IGI Global. - 1947-3591 .- 1947-3605. ; 11:1, s. 1-21
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Journal article (peer-reviewed)abstract
- Becoming a data-driven organization is a vision for several organizations. It has been frequently mentioned in the literature that data-driven organizations are likely to be more successful than organizations that mostly make decisions on gut feeling. However, few organizations make a successful shift to become data-driven, due to a number of different types of barriers. This article investigates, the initial journey to become a data-driven organization for 13 organizations. Data has been collected via documents and interviews, and then analyzed with respect to: i) how they scaled up the usage of analytics to become data-driven; ii) strategies developed; iii) barriers encountered; and iv) usage of an overall change process. The findings are that most organizations start their journey via a pilot project, take shortcuts when developing strategies, encounter previously reported top barriers, and do not use an overall change management process.
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| 4. |
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| 5. |
- Berndtsson, Mikael, et al.
(author)
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A Fleet Management System Based on Complex Event Processing
- 2014
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In: DSS 2.0 – Supporting Decision Making with New Technologies. - : IOS Press. - 9781614993988 - 9781614993995 ; , s. 241-252
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Conference paper (peer-reviewed)abstract
- This paper describes our approach and experiences of applying techniques in complex event processing to fleet management systems. Current fleet management systems do not have support for complex event processing, hence they are limited to reacting to simple events such as door open, and vehicle reached waypoint. We argue that fleet management systems can benefit from having support for complex event processing. In this paper we present an implemented fleet management system that supports complex event processing.
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| 6. |
- Berndtsson, Mikael, et al.
(author)
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A Matrix for Assessing Data-Driven Culture in Teams
- 2022
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In: Proceedings of the 2022 Pre-ICIS SIGDSA Symposium. - : Association for Information Systems.
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Conference paper (peer-reviewed)abstract
- Establishing a data-driven culture in teams is on the agenda for many managers and analytics leaders. With a data-driven culture in place, it is envisioned that investments in analytics can be used to their full potential. In practice, most organizations struggle to establish a data-driven culture in teams and have few tools available to assess the level of maturity.Related research has focused on maturity models in business intelligence & analytics that target the organizational level. Hence, these maturity models provide limited support for assessing the team level, e.g., why some teams do not develop a data-driven culture.This paper used a systematic literature review and an online questionnaire to develop a matrix for assessing a team's maturity in data-driven culture. The matrix synthesizes previous work in analytics and group development. Findings from the literature review revealed a mismatch between problems addressed by the research community and perceived problems in practice by organizations.
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| 7. |
- Berndtsson, Mikael, et al.
(author)
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A Strategy for Scaling Advanced Analytics
- 2023
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In: Communications of the ACM. - : Association for Computing Machinery (ACM). - 0001-0782 .- 1557-7317. ; 66:12, s. 29-31
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Journal article (peer-reviewed)abstract
- Key elements for scaling advanced analytics.
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| 8. |
- Berndtsson, Mikael
(author)
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Active Capability Support for Cooperation Strategies in Cooperative Information Systems
- 1998
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Doctoral thesis (other academic/artistic)abstract
- One important feature for the current and next generation of information systemsis the ability to be able tocooperate. Information systems that are able to cooperateare referred to as cooperative information systems. The problem of moving the stateof the art from information systems designed asislands of automationto cooperativeinformation systems has primarly been addressed by the distributed artificial intelli-gence community and the database community. For example, the distributed artificialintelligence community has investigated cooperation strategies such as task sharingand result sharing, whereas the database community has developed techniques forinteroperability over heterogenous databases. One characteristic of cooperative infor-mation systems is that no individual solution can satisfactorily support all requiredcharacteristics of cooperative information systems. This thesis takes the position thata synthesis of results from the distributedartificial intelligence community and thedatabase community is a promising direction for developing cooperative informationsystems.In this thesis, active capability (as defined within active databases) is considered asan important core technology for cooperative information systems. Active capabilityis supported by event condition action (ECA) rules with the following semantics:when an event E occurs, evaluate condition C, and if the condition is satisfied, thenexecute action A. The applicability of using ECA rules has primarly been exploredwithin database systems and has recently initiated ECA related research within otherresearch communities such as real-time and workflow.This thesis focuses on what is required in an interface between information sys-tems when using an active capability approach to supporting the major cooperationstrategies as formulated in distributed artificial intelligence. The significance of the2work reported in this thesis concerns two major issues. First, advanced types ofcooperation strategies such as task sharing and result sharing can now span the do-mains of database and distributed artificial intelligence architectures. Second, as thiswork synthesizes and extends results from two different research communities, it pro-vides a good foundation for using active capability as one of the core technologies forcooperative information systems.
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| 9. |
- Berndtsson, Mikael, et al.
(author)
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Active Database, Active Database (Management) System
- 2009
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In: Encyclopedia of Database Systems. - Boston, MA : Springer Science+Business Media B.V.. - 9780387496160 - 9780387355443 - 9780387399409 ; , s. 27-28
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Book chapter (other academic/artistic)
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| 10. |
- Berndtsson, Mikael, et al.
(author)
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Active Database Coupling Modes
- 2009
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In: Encyclopedia of Database Systems. - Boston, MA : Springer Science+Business Media B.V.. - 9780387496160 - 9780387355443 - 9780387399409 ; , s. 33-35
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Book chapter (other academic/artistic)
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