A Framework for Autonomic Networked Auctions

Abstract

Business companies are showing a growing interest towards the use of the Internet as part of their business. In particular, networked auctions exploit characteristics that are particularly attractive, and are therefore gaining interest as mean for business. This is especially true when the management efforts, to handle such auctions, are reduced by the use of automatic trading agents. The automatic nature of agents, however, does not allow them to account for the non-stationariness of the market, with the result of inevitably limitating optimization of auction economic factors and, finally, the overall utility. We outline a platform where trading agents behave in an autonomic fashion. Agents employ biologically-inspired techniques, to adapt auctioning strategies to present environmental conditions, through exploitation of self-* properties. We put particular emphasis on self-configuration and selfadaptation, presenting results of preliminary experimentations, and showing through simulations how autonomic behaviour is expected to impact current results.

MyAds: A system for adaptive pervasive advertisements

“…The auction scenario complies to the model defined in [19,20], implemented in [21]. The display is represented within the auction environment by a seller ACE, which offers the rights of advertisement on a specific slot of time under auction.…”

The Cognitive Packet Network: A Survey

“…The role which CPN can play in the future network-based markets, where autonomic auctions will be part of the web-based economy, is described in [63,64]. The auctions considered, involve network auctions in which any bidder, except for the one who has made the most recent bid and is waiting for a response from the seller, is allowed to move at any time from one auction to another one.…”

“…This network can provide the users with information such as where and when to buy or sell an item. The network could consider application-level requirements, for instance price-related or history-related factors, along with network-level ones like routing or communication factors [64,67,68]. Decisions could be based on 'sensible decision' algorithms, studied in [49], where the estimations are based on probabilities that mix auction-specific factors, such as the current price of the item under auction, the average selling price in the past or the average wait-time for acceptance of the bid, and network or routing factors, such as the current average delay in the path towards the destination and the average loss probability in the path.…”

Contract Design for Traffic Offloading and Resource Allocation in Heterogeneous Ultra-Dense Networks

“…Mathematical analysis of sealed bids can be found in [23], while in [24], [25], [26], the authors focused on the effect of an auction on the success of bidders who must also make optimal choices. Auctions can also be used in a network to automatically carry out objectives which may satisfy either the sellers or the buyers [27], and can be used in resource allocation to dynamically offer admission control based on resource availability [28]. In SDWN-based HetNets, the central controller performs as an auction broker, and traffic offloading can be operated efficiently with appropriate auction mechanisms, such as "double" [29] and reverse auctions [30].…”