A replicable Web-based negotiation server for e-commerce

Su, Stanley Y. W.; Huang, Chunbo; Hammer, Joachim

doi:10.1109/hicss.2000.926978

Cited by 49 publications

(41 citation statements)

References 7 publications

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“…Some other projects have presented QoS mapping in multimedia networks [8] [9].The negotiation server by Su et el. uses rules to describe how to relax constraints defining acceptable offers in the course of the negotiation [13]. The complexity of utility functions and contract implementation plans is addressed by Boutilier et al [6].…”

Section: Related Workmentioning

confidence: 99%

Specifying Policies for Service Negotiations of Response Time

Kim

Byeon

Chun

et al. 2004

Computational Science - ICCS 2004

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Abstract. The use of services in large-scale and cross-organizational environments requires the negotiation of agreements that define these services. This paper proposes to specify a negotiation policy for response time of distributed network. The analysis of distributed networks has become more and more important with the evolution of distributed network technologies resulting in increasing capacities. To monitor and manage service in distributed network, we must identify the relationships between network/application performance and QoS parameters. Therefore, we provide a statistical analysis on mapping user level response time to application and network level parameters by using some queueing models and suggest the negotiation of policy specification for response time of distributed network. Hence, the use of guaranteed services becomes feasible.

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Section: Related Workmentioning

confidence: 99%

Specifying Policies for Service Negotiations of Response Time

Kim

Byeon

Chun

et al. 2004

Computational Science - ICCS 2004

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“…The offers and counter-offers may be constructed by human negotiators (presumably using some tool for constructing machine-readable licences), or by automated software agents [106,35,53].…”

Section: Rights Negotiationmentioning

confidence: 99%

Digital Rights Management

Sheppard¹

2010

Chapman &Amp; Hall/CRC Cryptography and Network Security Series

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Digital rights management allows information owners to control the use and dissemination of electronic documents via a machine-readable licence. Documents are distributed in a protected form such that they may only be used with trusted environments, and only in accordance with terms and conditions stated in the licence. Digital rights management has found uses in protecting copyrighted audio-visual productions, private personal information, and companies' trade secrets and intellectual property. This chapter describes a general model of digital rights management together with the technologies used to implement each component of a digital rights management system, and desribes how digital rights management can be applied to secure the distribution of electronic information in a variety of contexts.

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“…Negotiation protocols should be efficient, as simple as possible, symmetric (i.e., the same for all nodes), and for scalability reasons, not requiring the use of any centralized decision-making node [Rosenchein and Zlotkin 1994]. In Su et al [2001], three principal forms of negotiation are defined: bidding, auction, and bargaining.…”

Section: Negotiation Protocolmentioning

confidence: 99%

“…It is inspired by traditional e-commerce trading negotiation solutions, whose properties have been studied extensively within B2B and B2C systems [Bichler et al 1999;Collins et al 1999;Parunak 1987;Sandholm 2002;Su et al 2001;Winoto et al 2002], but also by problem solving approaches that distribute tasks over several agents in order to achieve a common goal (e.g., Contract Net [Smith 1980]). Its major differences from these traditional frameworks stem primarily from two facts:…”

Section: Introductionmentioning

confidence: 99%

Query optimization in distributed networks of autonomous database systems

Pentaris

Ioannidis

2006

ACM Trans. Database Syst.

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Large-scale distributed environments, where each node is completely autonomous and offers services to its peers through external communication, pose significant challenges to query processing and optimization. Autonomy is the main source of the problem, as it results in lack of knowledge about any particular node with respect to the information it can produce and its characteristics, for example, cost of production or quality of produced results. In this article, inspired by e-commerce technology, we recognize queries as commodities and model query optimization as a trading negotiation process. Subquery answers and subquery operator execution jobs are traded between nodes until deals are struck with some nodes for all of them. Such trading may also occur recursively, in the sense that some nodes may play the role of intermediaries between other nodes (subcontracting). We identify the key parameters of the overall framework and suggest several potential alternatives for each one. In comparison to trading negotiations for e-commerce, query optimization faces unique new challenges that stem primarily from the fact that queries have a complex structure and can be broken into smaller parts. We address these challenges through a particular instantiation of our framework focusing primarily on the optimization algorithms run on "buying" and "selling" nodes, the evaluation metrics of the queries, and the negotiation strategy. Finally, we present the results of several experiments that demonstrate the performance characteristics of our approach compared to those of traditional query optimization.

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A replicable Web-based negotiation server for e-commerce

Cited by 49 publications

References 7 publications

Specifying Policies for Service Negotiations of Response Time

Specifying Policies for Service Negotiations of Response Time

Digital Rights Management

Query optimization in distributed networks of autonomous database systems

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