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Autonomic Prioritization of Enterprise Transactions Based on Bid-Price Controls

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Setzer, Thomas ; Markl, Christian:
Autonomic Prioritization of Enterprise Transactions Based on Bid-Price Controls.
In: IEEE transactions on network and service management. 10 (2013) 4. - S. 398-409.
ISSN 1932-4537

Volltext

Link zum Volltext (externe URL): https://doi.org/10.1109/TNSM.2013.100413.120316

Kurzfassung/Abstract

We study the business-driven prioritization of workflows in enterprise transaction processing systems. Today, IT services are increasingly shared amongst workflows, and static prioritization is applied during phases of high system workload to mitigate the business impact of service queuing and resulting workflow response-time increase. Static prioritization rules can only be optimal for one particular workflow definition and demand mix scenario, while in practice workflow definitions are continuously re-engineered and demand varies over time. We propose a technique to automatically adapt workflow priorities aimed at minimizing overload-related costs resulting from workflow delays. We continuously align maximum service buffer lengths and bid-prices reflecting current marginal opportunity costs of invoking a shared service. New prioritization is derived by comparing expected costs when queuing a workflow with its current opportunity costs, computed as the sum of bid-prices of invoked services. Simulation outcomes based on industry data illustrate that the approach dominates standard queuing disciplines as well as static prioritization.

Weitere Angaben

Publikationsform:Artikel
Schlagwörter:Transaction processing; business-driven prioritization; bid-price controls; demand management
Institutionen der Universität:Wirtschaftswissenschaftliche Fakultät > Betriebswirtschaftslehre > Lehrstuhl für Allgemeine Betriebswirtschaftslehre und Wirtschaftsinformatik
DOI / URN / ID:10.1109/TNSM.2013.100413.120316
Peer-Review-Journal:Ja
Titel an der KU entstanden:Nein
Eingestellt am:25. Sep 2020 12:02
Letzte Änderung:12. Okt 2020 17:12
URL zu dieser Anzeige:http://edoc.ku-eichstaett.de/24882/