PeerMart: the technology for a distributed auction-based market for peer-to-peer services

Hausheer, David; Stiller, Burkhard

doi:10.1109/icc.2005.1494610

Cited by 31 publications

(23 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Game theory [6,21], a strategic decisionmaking methodology, has been extensively used in wireless networks, peer-to-peer systems, grid computing, and in many scientific systems. Game theory is used in many areas such as resource allocation, optimizing and improving decision making.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Introducing a Distributed Cloud Architecture with Efficient Resource Discovery and Optimal Resource Allocation

Khethavath

Thomas

Chan-Tin

et al. 2013

2013 IEEE Ninth World Congress on Services

View full text Add to dashboard Cite

Abstract-Cloud computing is an emerging field in computer science. Users are utilizing less of their own existing resources, while increasing usage of cloud resources. With the emergence of new technologies such as mobile devices, these devices are usually under-utilized, and can provide similar functionality to a cloud provided they are properly configured and managed. This paper proposes a Distributed Cloud Architecture to make use of independent resources provided by the devices/users. Resource discovery and allocation is critical in designing an efficient and practical distributed cloud. We propose using multi-valued distributed hash tables for efficient resource discovery. Leveraging the fact that there are many users providing resources such as CPU and memory, we define these resources under one key to easily locate devices with equivalent resources. We then propose a new auction mechanism, using a reserve bid formulated rationally by each user for the optimal allocation of discovered resources. Then we discuss how the Nash Equilibrium is achieved based on user requirements.

show abstract

Section: Related Workmentioning

confidence: 99%

“…Therefore there is a need for an efficient strategic mechanism to allocate resources. Game theory [6,7,21], a strategic decision-making mechanism, can be used for allocating resources optimally such that all users' requirements are met. We introduce an auction model, where providers bid for resource provisioning.…”

Section: Introductionmentioning

confidence: 99%

Introducing a Distributed Cloud Architecture with Efficient Resource Discovery and Optimal Resource Allocation

Khethavath

Thomas

Chan-Tin

et al. 2013

2013 IEEE Ninth World Congress on Services

View full text Add to dashboard Cite

show abstract

“…Distributed auction mechanisms (e.g. [Hausheer and Stiller 2005]) attempt to mitigate this, reducing the fragility associated with reliance upon a single point, providing more scalability and allowing for dynamic composition of auctions. Typically, either the central auctioneer is replaced by a number of local ones, which may communicate through some secure means, or else the auctioneer role is fulfilled by a spare, disinterested node.…”

Section: Market-based Controlmentioning

confidence: 99%

Socio-economic vision graph generation and handover in distributed smart camera networks

Esterle

Lewis

Yao

et al. 2014

ACM Trans. Sen. Netw.

View full text Add to dashboard Cite

In this paper we present an approach to object tracking handover in a network of smart cameras, based on self-interested autonomous agents, which exchange responsibility for tracking objects in a market mechanism, in order to maximise their own utility. A novel ant-colony inspired mechanism is used to learn the vision graph, i.e., the camera neighbourhood relations, during runtime, which may then be used to optimise communication between cameras. The key benefits of our completely decentralised approach are on the one hand generating the vision graph online, enabling efficient deployment in unknown scenarios and camera network topologies, and on the other hand relying only on local information, increasing the robustness of the system. Since our market-based approach does not rely on a priori topology information, the need for any multi-camera calibration can be avoided. We have evaluated our approach both in a simulation study and in network of real distributed smart cameras.

show abstract

“…A number of distributed auction mechanisms have also been proposed [19,28,33], which do not rely on one central coordinating node. These approaches reduce the fragility associated with reliance upon a single point, provide more scalability and allow for dynamic composition of auctions.…”

Section: Existing Market-based Approachesmentioning

confidence: 99%

Resource allocation in decentralised computational systems: an evolutionary market-based approach

Lewis

Marrow

Yao

2009

Auton Agent Multi-Agent Syst

View full text Add to dashboard Cite

We present a novel market-based method, inspired by retail markets, for resource allocation in fully decentralised systems where agents are self-interested. Our market mechanism requires no coordinating node or complex negotiation. The stability of outcome allocations, those at equilibrium, is analysed and compared for three buyer behaviour models. In order to capture the interaction between self-interested agents, we propose the use of competitive coevolution. Our approach is both highly scalable and may be tuned to achieve specified outcome resource allocations. We demonstrate the behaviour of our approach in simulation, where evolutionary market agents act on behalf of service providing nodes to adaptively price their resources over time, in response to market conditions. We show that this leads the system to the predicted outcome resource allocation. Furthermore, the system remains stable in the presence of small changes in price, when buyers' decision functions degrade gracefully.

show abstract

PeerMart: the technology for a distributed auction-based market for peer-to-peer services

Cited by 31 publications

References 14 publications

Introducing a Distributed Cloud Architecture with Efficient Resource Discovery and Optimal Resource Allocation

Introducing a Distributed Cloud Architecture with Efficient Resource Discovery and Optimal Resource Allocation

Socio-economic vision graph generation and handover in distributed smart camera networks

Resource allocation in decentralised computational systems: an evolutionary market-based approach

Contact Info

Product

Resources

About