☆ 4.6 Article

An efficient cloud resource exchange model based on the double auction and evolutionary game theory

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2023)

Related references

Note: Only part of the references are listed.

Article Computer Science, Information Systems

Partial offloading with stable equilibrium in fog-cloud environments using replicator dynamics of evolutionary game theory

Mohammad Hassan Khoobkar et al.

Summary: The use of fog computing is increasing in delay-sensitive applications. This paper proposes a partial offloading method based on replicator dynamics of evolutionary game theory, which improves performance and reduces energy consumption and latency. The method does not require hidden information from other users.

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2022)

Add to Collection

Article Computer Science, Information Systems

Auction-Based Resource Allocation Mechanism in Federated Cloud Environment: TARA

Asif Iqbal Middya et al.

Summary: This article proposes a multi-unit double auction mechanism called TARA for selecting cloud federations to fulfill users' resource demands. TARA achieves properties like truthfulness, individual rationality, and budget balance, and it demonstrates high computational and system efficiency.

IEEE TRANSACTIONS ON SERVICES COMPUTING (2022)

Add to Collection

Article Computer Science, Information Systems

Profit Maximization Incentive Mechanism for Resource Providers in Mobile Edge Computing

Quyuan Wang et al.

Summary: Mobile Edge Computing (MEC) is a promising technique that offloads tasks to nearby edge clouds to accommodate resource-constrained mobile devices. This paper proposes an incentive mechanism to stimulate service provisioning by charging mobile devices and rewarding edge clouds. The mechanism ensures the profit of resource providers and guarantees the Quality of Experience (QoE) of mobile devices.

IEEE TRANSACTIONS ON SERVICES COMPUTING (2022)

Add to Collection

Article Computer Science, Information Systems

An optimized message routing approach inspired by the landlord-peasants game in disruption-tolerant networks

Zahra Ghafouri-ghomi et al.

Summary: This paper proposes a method inspired by the Landlord-Peasants game to increase collaboration between selfish nodes in disruption-tolerant networks. The simulation results show that the proposed method outperforms baseline methods and a state-of-the-art learning-based method in terms of delivery ratio, buffer usage, and number of hops, with a comparable overhead.

AD HOC NETWORKS (2022)

Add to Collection

Article Computer Science, Software Engineering

A bartering double auction resource allocation model in cloud environments

Mohammad Hossein Ghasemian Koochaksaraei et al.

Summary: This article presents an auction-inspired model for resource exchange among cloud service providers (CSPs) without using monetary values. The proposed mechanism enhances CSPs' social welfare and profitability while significantly reducing SLA violations. Additionally, the model satisfies essential economic properties, such as individual rationality, incentive compatibility, budget balancing, and economic efficiency.

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Energy-aware and carbon-efficient VM placement optimization in cloud datacenters using evolutionary computing methods

Tahereh Abbasi-khazaei et al.

Summary: This study proposes a virtual machine placement method to jointly minimize energy costs and scheduling, aiming to address the critical concerns of cloud service providers. The performance of the algorithm is compared with baseline methods and the simulation results demonstrate its effectiveness.

SOFT COMPUTING (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

BLMDP: A new bi-level Markov decision process approach to joint bidding andtask-scheduling in cloud spot market

Mona Naghdehforoushha et al.

Summary: This paper discusses the trading of computing services in the cloud computing market, focusing on the Amazon spot market and the challenges users face. It proposes a method called bi-level Markov decision-making process (BLMDP) to jointly minimize the cost of processing tasks and maximize user satisfaction. Performance evaluation shows that BLMDP outperforms heuristic methods in minimizing cloud provider costs and maximizing user gain.

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES (2022)

Add to Collection

Article Green & Sustainable Science & Technology

Auction-based cloud service allocation and sharing for logistics product service system

Kai Kang et al.

Summary: Sustainability is increasingly seen as a desired goal in social development, and the logistics industry is leveraging cutting-edge technologies to achieve this goal. This paper proposes an auction-based cloud service allocation and sharing method for logistics product service systems (LPSS), using MV auctions for public logistics resources allocation and O-VCG auctions for sharing private logistics resources. The results show that these auctions can efficiently allocate resources and promote sustainability in the logistics industry.

JOURNAL OF CLEANER PRODUCTION (2021)

Add to Collection

Article Computer Science, Theory & Methods

Stable federated fog formation: An evolutionary game theoretical approach

Ahmad Hammoud et al.

Summary: This research focuses on the instability issue within fog federations and proposes a decentralized algorithm based on evolutionary game theory to address this problem. By utilizing the Replicator Dynamics model, the algorithm is able to stabilize the federations and improve the Quality-of-Service for the users over time.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2021)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Fog-Integrated Cloud Architecture enabled multi-attribute combinatorial reverse auctioning framework

Anubha Aggarwal et al.

Summary: Fog computing is an emerging market that meets the real-time application resource demand of mobile users and IoT users when combined with Cloud computing. Auctioning in Fog computing poses challenges due to mobility, dynamic pricing, and real-time demand, compared to Cloud-based auctioning models.

SIMULATION MODELLING PRACTICE AND THEORY (2021)

Add to Collection

Article Computer Science, Information Systems

An Incentive-Compatible Offloading Mechanism in Fog-Cloud Environments Using Second-Price Sealed-Bid Auction

Reza Besharati et al.

Summary: This paper proposes a second-price sealed-bid auction mechanism to motivate fog nodes to participate in task offloading operations and uses queuing theory for resource allocation in the edge layer and the cloud layer. Experimental evaluations show that the proposed method outperforms other methods in terms of execution time, energy consumption, and network usage.

JOURNAL OF GRID COMPUTING (2021)

Add to Collection

Article Computer Science, Information Systems

A Price-Incentive Resource Auction Mechanism Balancing the Interests Between Users and Cloud Service Provider

Songyuan Li et al.

Summary: This article introduces a price-incentive resource auction mechanism in a cloud environment to balance the interests of users and cloud service providers. Through a market-based pricing strategy, it encourages users to purchase resources and execute applications, while ensuring a minimum profit rate for the cloud service provider. The proposed approach includes user utility function and an approximate algorithm PIRA, and its effectiveness is validated through simulations.

IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT (2021)

Add to Collection

Article Computer Science, Theory & Methods

Cloud Pricing Models: Taxonomy, Survey, and Interdisciplinary Challenges

Caesar Wu et al.

ACM COMPUTING SURVEYS (2020)

Add to Collection

Article Computer Science, Information Systems

Pricing the cloud: a QoS-based auction approach

Yang Lu et al.

ENTERPRISE INFORMATION SYSTEMS (2020)

Add to Collection

Article Computer Science, Information Systems

Multiattribute-Based Double Auction Toward Resource Allocation in Vehicular Fog Computing

Xiting Peng et al.

IEEE INTERNET OF THINGS JOURNAL (2020)

Add to Collection

Article Computer Science, Theory & Methods

An online auction mechanism for time-varying multidimensional resource allocation in clouds

Jixian Zhang et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)

Add to Collection

Article Telecommunications

A cloud dynamic online double auction mechanism (DODAM) for sustainable pricing

S. M. Reza Dibaj et al.

TELECOMMUNICATION SYSTEMS (2020)

Add to Collection

Article Computer Science, Hardware & Architecture

Optimal auction for delay and energy constrained task offloading in mobile edge computing

Farshad Mashhadi et al.

COMPUTER NETWORKS (2020)

Add to Collection

Article Computer Science, Hardware & Architecture

Multi-objective virtual network function placement using NSGA-II meta-heuristic approach

Sanaz Tavakoli-Someh et al.

JOURNAL OF SUPERCOMPUTING (2019)

Add to Collection

Article Computer Science, Hardware & Architecture

A novel optimized approach for resource reservation in cloud computing using producer-consumer theory of microeconomics

Alireza Mohammadi et al.

JOURNAL OF SUPERCOMPUTING (2019)

Add to Collection

Article Engineering, Manufacturing

Multi-objective resource optimization scheduling based on iterative double auction in cloud manufacturing

Zhao-Hui Liu et al.

ADVANCES IN MANUFACTURING (2019)

Add to Collection

Article Computer Science, Theory & Methods

A Double Auction Mechanism to Bridge Users' Task Requirements and Providers' Resources in Two-Sided Cloud Markets

Li Lu et al.

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2018)

Add to Collection

Article Computer Science, Software Engineering

A truthful combinatorial double auction-based marketplace mechanism for cloud computing

Dinesh Kumar et al.

JOURNAL OF SYSTEMS AND SOFTWARE (2018)

Add to Collection

Article Computer Science, Information Systems

Agent-based fuzzy constraint-directed negotiation for service level agreements in cloud computing

Lin Li et al.

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2018)

Add to Collection

Article Computer Science, Software Engineering

A systematic study of double auction mechanisms in cloud computing

Dinesh Kumar et al.

JOURNAL OF SYSTEMS AND SOFTWARE (2017)

Add to Collection

Article Computer Science, Information Systems

A combinatorial double auction resource allocation model in cloud computing

Parnia Samimi et al.

INFORMATION SCIENCES (2016)

Add to Collection

Article Computer Science, Hardware & Architecture

STAR: Strategy-Proof Double Auctions for Multi-Cloud, Multi-Tenant Bandwidth Reservation

Zhenzhe Zheng et al.

IEEE TRANSACTIONS ON COMPUTERS (2015)

Add to Collection

Article Computer Science, Software Engineering

A fair multi-attribute combinatorial double auction model for resource allocation in cloud computing

Gaurav Baranwal et al.

JOURNAL OF SYSTEMS AND SOFTWARE (2015)

Add to Collection

Article Computer Science, Software Engineering

CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms

Rodrigo N. Calheiros et al.

SOFTWARE-PRACTICE & EXPERIENCE (2011)

Add to Collection

Article Management

Truthful Bundle/Multiunit Double Auctions

Leon Yang Chu

MANAGEMENT SCIENCE (2009)

Add to Collection

Article Management

Truthful double auction mechanisms

Leon Yang Chu et al.

OPERATIONS RESEARCH (2008)

Add to Collection

© Peeref 2019-2024. All rights reserved.