A multidimensional procurement auction for trading composite services

Conte, Tobias; Dinther, Clemens van

doi:10.1016/j.elerap.2009.11.001

Cited by 15 publications

(12 citation statements)

References 37 publications

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“…Therefore, in the negotiation, the service providers should be able to express their QoS offers flexibly for services and combinations of services. None of the existing negotiation approaches [4], [6], [19], [36] has properly addressed the above issues.…”

Section: Related Workmentioning

confidence: 99%

“…Given the feature that it aims at improving the global market benefit, CWSMBM is only suitable for building applications within organisational boundaries, as claimed so by the authors themselves in the paper. In [6], Blau et al design a multidimensional procurement auction for service compositions based on combinatorial auction. In the auction, a service provider can either offer a service on its own or provide bundled services together with other services.…”

Section: Related Workmentioning

confidence: 99%

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Quality-Aware Service Selection for Service-Based Systems Based on Iterative Multi-Attribute Combinatorial Auction

Yan

Jin

et al. 2014

IIEEE Trans. Software Eng.

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Abstract-The service-oriented paradigm offers support for engineering service-based systems (SBSs) based on service composition where existing services are composed to create new services. The selection of services with the aim to fulfil the quality constraints becomes critical and challenging to the success of SBSs, especially when the quality constraints are stringent. However, none of the existing approaches for quality-aware service composition has sufficiently considered the following two critical issues to increase the success rate of finding a solution: 1) the complementarities between services; and 2) the competition among service providers. This paper proposes a novel approach called combinatorial auction for service selection (CASS) to support effective and efficient service selection for SBSs based on combinatorial auction. In CASS, service providers can bid for combinations of services and apply discounts or premiums to their offers for the multi-dimensional quality of the services. Based on received bids, CASS attempts to find a solution that achieves the SBS owner's optimisation goal while fulfilling all quality constraints for the SBS. When a solution cannot be found based on current bids, the auction iterates so that service providers can improve their bids to increase their chances of winning. This paper systematically describes the auction process and the supporting mechanisms. Experimental results show that by exploiting the complementarities between services and the competition among service providers, CASS significantly outperforms existing qualityaware service selection approaches in finding optimal solutions and guaranteeing system optimality. Meanwhile, the duration and coordination overhead of CASS are kept at satisfactory levels in scenarios on different scales.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Quality-Aware Service Selection for Service-Based Systems Based on Iterative Multi-Attribute Combinatorial Auction

Yan

Jin

et al. 2014

IIEEE Trans. Software Eng.

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“…Besides deduction and induction, experimenting with simulations is considered a "third way of doing science" [2]. To analyze and optimize complex development scenarios, different analytical and simulation-based approaches can be considered: discrete event simulations, agent-based simulation [6,7], system dynamics etc. Simulating software development processes to answer fundamental questions about agile and lean practices is, though still scarce, rising in number [9, see].…”

Section: Methodsmentioning

confidence: 99%

Steering through Incentives in Large-Scale Lean Software Development

Hildenbrand

Knapper

Mazarakis

et al. 2013

Communications in Computer and Information Science

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Abstract. The application of lean principles and agile project management techniques in the domain of large-scale software product development has gained tremendous momentum over the last decade. This results in empowerment of individuals which leads to increased flexibility but at the same time sacrifices managerial control through traditional steering practices. Hence, the design of adequate incentive schemes in order to align local optimization and opportunistic behavior with the overall strategy of the company is a crucial activity from a business perspective.Following an agent-based simulation approach with reinforcement learning, we (i) address the question of how information regarding backlog item dependencies is shared within and in between development teams on the product level subject to different incentive schemes. We (ii) compare different incentive schemes ranging from individual to team-based compensation. Based on our results, we are (iii) able to provide recommendations on how to design suitable incentive schemes in order to enable a goal-oriented steering of individual behavior in order to support the overall company objectives.

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“…With the advent of Web 2.0 technologies and the renaissance of HTTP appreciation, the possibilities to build "good enough" applications have Typology of e-services. Source: Blau et al (2009b) greatly increased. The number publicly available mashups 6 is considerably increasing 7 .…”

Section: E-service Mashups As Approach To Integrate Business Servicesmentioning

confidence: 96%