E-business and Telecommunication Networks: Third by Joaquim Filipe, Mohammad S. Obaidat

By Joaquim Filipe, Mohammad S. Obaidat

This e-book constitutes the easiest papers of the 3rd foreign convention on E-business and Telecommunication Networks, ICETE 2006, held in Set?bal, Portugal, August 7-10, 2006. The 29 revised complete papers awarded have been rigorously reviewed and chosen from 326 submissions. The papers are equipped in 4 elements in accordance with their meetings: ICE-B, SECRYPT, SIGMAP and WINSYS.

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Additional info for E-business and Telecommunication Networks: Third International Conference, ICETE 2006, Setubal, Portugal, August 7-10, 2006, Selected Papers (Communications in Computer and Information Science)

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Each bid v ∈ B ∪ S has the components (type, ti , tj , p, q). type = {buy, sell} denotes the type of the bid. It is common in securities markets to refer to a buy bid as a bid and a sell bid as an offer. A bid, v, is introduced at time ti (v), and removed at time tj (v), where ti (v) < tj (v). A bid, v, is said to be alive in the interval [ti (v), tj (v)]. To be a candidate for a particular matching, two bids must have a period where their arrival and expiration times overlap. Two bids v, v ∈ B ∪ S are said to be concurrent, if there is some time when both are alive simultaneously.

That is, we strived for an increase in the BMR by matching a larger number of smaller bids. In doing so, the amount of matched quantity would be roughly the same. 5 Conclusions A market clearing algorithm’s performance greatly affects the revenue earned by the Auctioneer, and the welfare of the bidders. Previous literature on market clearing only addresses price issues, and neglects concerns regarding allocative efficiency. This paper presents several market clearing algorithms that focus solely on allocating quantity among matching buy and sell bids.

This algorithm achieved a better FMR than both previous online algorithms. 88 − competitive. Algorithm 5b uses excessive subsidisation where θ = 5000 (5 × qmax ). This algorithm’s performance approaches Algorithm 2 in terms of BMR and QMR. It also attains an excellent FMR. This algorithm is 1 − competitive. If subsidisation were without bound, eventually all bids would be matched. 38 J. Trevathan and W. 13% respectively. , θ/2). While excessive subsidisation may achieve significant results, the practicality of subsidising must be weighed against the level of risk the Auctioneer is willing to take.

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