Truthful Double Auction Based VM Allocation for Revenue-Energy Trade-Off in Cloud Data Centers

Patel, Yashwant Singh; Nighojkar, Animesh; Misra, Rajiv

doi:10.1109/ncc.2019.8732201

Cited by 5 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To analyze the performance of OTDAM, we compare its experimental results with three other existing double auction approaches: TASC [11], TDAM [42], and ICAM [43]. Each experiment is run over 100 times and averaged as the final result.…”

Section: Evaluation Methodsmentioning

confidence: 99%

“…The authors have considered a multi-buyer and multi-seller double auction design for heterogeneous cloud resources. Patel et al [42] designed 'TDAM', a truthful double auction scheme to provision VMs in cloud data centers. Jin et al [43] developed 'ICAM' an incentive-compatible auction approach to assign cloudlets in order to fulfill the service requirements of mobile devices.…”

Section: Resource Allocation In Iaas Cloudsmentioning

confidence: 99%

See 1 more Smart Citation

Truthful online double auction based dynamic resource provisioning for multi-objective trade-offs in IaaS clouds

Patel

Malwi²,

Nighojkar

et al. 2021

Cluster Comput

Self Cite

View full text Add to dashboard Cite

Section: Evaluation Methodsmentioning

confidence: 99%

Section: Resource Allocation In Iaas Cloudsmentioning

confidence: 99%

Truthful online double auction based dynamic resource provisioning for multi-objective trade-offs in IaaS clouds

Patel

Malwi²,

Nighojkar

et al. 2021

Cluster Comput

Self Cite

View full text Add to dashboard Cite

“…Yashwant et al proposed a double auction mechanism to balance energy-efficient resource allocation and service providers' social welfare, whereas most of the current research does not consider both sides [24]. Their proposed solution is a truthful double auction mechanism based on the Vickrey-Clarke-Groves (VCG) algorithm.…”

Section: Double-sided Auction Modelsmentioning

confidence: 99%

A cloud priority-based dynamic online double auction mechanism (PB-DODAM)

2020

View full text Add to dashboard Cite

Double auctions are considered to be effective price-scheduling mechanisms to resolve cloud resource allocation and service pricing problems. Most of the classical double auction models use price-based mechanisms in which determination of the winner is based on the prices offered by the agents in the market. In cloud ecosystems, the services offered by cloud service providers are inherently time-constrained and if they are not sold, the allocated resources for the unsold services are wasted. Furthermore, cloud service users have time constraints to complete their tasks, otherwise, they would not need to request these services. These features, perishability and time-criticality, have not received much attention in most classical double auction models. In this paper, we propose a cloud priority-based dynamic online double auction mechanism (PB-DODAM), which is aligned with the dynamic nature of cloud supply and demand and the agents’ time constraints. In PB-DODAM, a heuristic algorithm which prioritizes the agents’ asks and bids based on their overall condition and time constraints for resource allocation and price-scheduling mechanisms is proposed. The proposed mechanism drastically increases resource allocation and traders’ profits in both low-risk and high-risk market conditions by raising the matching rate. Moreover, the proposed mechanism calculates the precise defer time to wait for any urgent or high-priority request without sacrificing the achieved performance in resource allocation and traders’ profits. Based on experimental results in different scenarios, the proposed mechanism outperforms the classical price-based online double auctions in terms of resource allocation efficiency and traders’ profits while fulfilling the double auction’s truthfulness pillar.

show abstract

Double auction mechanisms in edge computing resource allocation for blockchain networks

Xie,

Zhang,

Zhang

et al. 2023

Cluster Comput

View full text Add to dashboard Cite

Truthful Double Auction Based VM Allocation for Revenue-Energy Trade-Off in Cloud Data Centers

Cited by 5 publications

References 13 publications

Truthful online double auction based dynamic resource provisioning for multi-objective trade-offs in IaaS clouds

Truthful online double auction based dynamic resource provisioning for multi-objective trade-offs in IaaS clouds

A cloud priority-based dynamic online double auction mechanism (PB-DODAM)

Double auction mechanisms in edge computing resource allocation for blockchain networks

Contact Info

Product

Resources

About