A Dynamic Pricing and Bidding Strategy for Autonomous Agents in Grids

2010 ◽  
pp. 55-71 ◽  
Author(s):  
Behnaz Pourebrahimi ◽  
Koen Bertels ◽  
Stamatis Vassiliadis ◽  
Luc Onana Alima
Keyword(s):  
Dynamic Pricing ◽  
Autonomous Agents ◽  
Bidding Strategy

Auction-Based Pricing in Cloud Environment

2021 ◽  
pp. 86-97
Author(s):  
Branka Mikavica ◽  
Aleksandra Kostic-Ljubisavljevic
Keyword(s):  
Cloud Computing ◽  
Dynamic Pricing ◽  
Rapid Development ◽  
Supply And Demand ◽  
Bidding Strategy ◽  
Cloud Environment ◽  
Allocation Mechanism ◽  
Bidding Strategies ◽  
Selection Of ◽  
Cloud Resources

The rapid development of cloud computing requires improvement of pricing and allocation mechanisms of cloud resources. Dynamic pricing and allocation mechanisms are considered convenient, due to characteristics of cloud resources and the fact that demand for cloud resources is not uniform. The aims of such a mechanism are to optimize the utilization of cloud resources, to maximize cloud providers' revenues, and to minimize prices for cloud customers. Auction-based pricing and allocation mechanisms are often used since resources are allocated to the customers that value them the most, and prices are determined depending on the supply and demand conditions. Selection of an appropriate bidding strategy is a very important issue and requires the comprehensive approach. This chapter analyses the benefits of auction-based pricing and allocation mechanism in the cloud environment. In addition, the effects of different bidding strategies application are addressed.

Self-Adaptive Economic-Based Resource Allocation in Ad-Hoc Grids

2012 ◽  
Vol 3 (2) ◽  
pp. 111-130
Author(s):  
Behnaz Pourebrahimi ◽  
Koen Bertels
Keyword(s):  
Resource Allocation ◽  
Autonomous Agents ◽  
Ad Hoc ◽  
Bidding Strategy ◽  
Global State ◽  
Dynamic Nature ◽  
Economic Framework ◽  
Current State ◽  
Self Adaptive ◽  
Individual Nodes

Resource allocation is the process of discovering and allocating resources to requested tasks in a way that satisfy both user jobs and resource administrators. In ad-hoc Grids, resource allocation is a challenging undertaking as tasks and resources are distributed, heterogeneous in nature, owned by different individuals or organizations and they may arise spontaneously at any time with various requirements and availabilities. In this paper, the authors address an economic-based framework for resource allocation in ad-hoc Grids to deal with the dynamic nature of such networks. Within the economic framework, self-interested nodes in ad-hoc Grids are considered as consumers (buyers) and producers (sellers) of resources. Consumers and producers of resources are autonomous agents that cooperate through a simple, single metric namely the price that summarizes the global state of a network in a number. Adaptation is achieved by individual nodes through adopting a bidding strategy that adjusts the price according to the current state of the network in order to optimize the local utility of the node.

Dynamic Pricing bei strategischem Konsumentenverhalten

2014 ◽  
Vol 43 (6) ◽  
pp. 292-297
Author(s):  
Jochen Gönsch ◽  
Michael Neugebauer ◽  
Claudius Steinhardt
Keyword(s):  
Dynamic Pricing

Truth Matters: Cognitive Integrity as an Intervention for Self-Deception

2017 ◽  
Author(s):  
Eugenia Isabel Gorlin ◽  
Michael W. Otto
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Autonomous Agents ◽  
Therapeutic Interventions ◽  
Empirical Validation ◽  
The Past ◽  
Adaptive Problem

To live well in the present, we take direction from the past. Yet, individuals may engage in a variety of behaviors that distort their past and current circumstances, reducing the likelihood of adaptive problem solving and decision making. In this article, we attend to self-deception as one such class of behaviors. Drawing upon research showing both the maladaptive consequences and self-perpetuating nature of self-deception, we propose that self-deception is an understudied risk and maintaining factor for psychopathology, and we introduce a “cognitive-integrity”-based approach that may hold promise for increasing the reach and effectiveness of our existing therapeutic interventions. Pending empirical validation of this theoretically-informed approach, we posit that patients may become more informed and autonomous agents in their own therapeutic growth by becoming more honest with themselves.

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