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

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

doi:10.1007/s10586-020-03225-9

Cited by 17 publications

(9 citation statements)

References 43 publications

(58 reference statements)

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“…To support multi-issues negotiation in the cloud market, Patel et al [38] proposed the double auction approach for improving the satisfaction levels of both sides. In the mobile edge cloud federation, Yadav et al [39] proposed the profit maximized auction approach for efficiency in the price model.…”

Section: Related Workmentioning

confidence: 99%

Agent-based multi-tier SLA negotiation for intercloud

Liu

Huang³

et al. 2022

J Cloud Comp

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The evolving intercloud enables idle resources to be traded among cloud providers to facilitate utilization optimization and to improve the cost-effectiveness of the service for cloud consumers. However, several challenges are raised for this multi-tier dynamic market, in which cloud providers not only compete for consumer requests but also cooperate with each other. To establish a healthier and more efficient intercloud ecosystem, in this paper a multi-tier agent-based fuzzy constraint-directed negotiation (AFCN) model for a fully distributed negotiation environment without a broker to coordinate the negotiation process is proposed. The novelty of AFCN is the use of a fuzzy membership function to represent imprecise preferences of the agent, which not only reveals the opponent’s behavior preference but can also specify the possibilities prescribing the extent to which the feasible solutions are suitable for the agent’s behavior. Moreover, this information can guide each tier of negotiation to generate a more favorable proposal. Thus, the multi-tier AFCN can improve the negotiation performance and the integrated solution capacity in the intercloud. The experimental results demonstrate that the proposed multi-tier AFCN model outperforms other agent negotiation models and demonstrates the efficiency and scalability of the intercloud in terms of the level of satisfaction, the ratio of successful negotiation, the average revenue of the cloud provider, and the buying price of the unit cloud resource.

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Section: Related Workmentioning

confidence: 99%

Agent-based multi-tier SLA negotiation for intercloud

Liu

Huang³

et al. 2022

J Cloud Comp

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“…Patel et al [128] propose an online double auction for balancing the multi-objective trade-offs between energy, revenue, and performance in IaaS clouds. In this respect, they employ a weighted bipartite matching based algorithm for winner determination, and a VCG driven algorithm for payment determination.…”

Section: Optimizationmentioning

confidence: 99%

“…Although the interoperability among cloud providers brings many advantages, managing such interactions are believed to be complex as the resources in inter-clouds are distributed and controlled by different clouds [136]. In this respect, auction mechanisms have been employed in the literature for the problem of cloud resource management and • Proposes a novel bidding language to translate user-specific heterogeneous demands into regulated forms • Proposes a forward auction mechanism on top of the proposed bidding language • Ensures truthfulness • Allows users to determine their desired allocation time and application type beside valuation • Does not guarantee IR and BB • Does not consider multiple provider scenarios [128] • Proposes an online double auction mechanism aiming at revenue maximization, energy cost minimization, and performance maintenance • Consists of a weighted bipartite matching based algorithm for winner determination and a VCG driven algorithm for payment calculation…”

Section: Auction-based Approaches For Inter-cloudsmentioning

confidence: 99%

A Comprehensive Survey on Auction Mechanism Design for Cloud/Edge Resource Management and Pricing

Sharghivand¹,

Derakhshan

Siasi

2021

IEEE Access

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Driven by the vision of cloud and edge computing as the 5th utility, a major challenge is the efficient resources management and pricing taking into account incentives and preferences of cloud/edge providers, users, and the system. In recent years, auction mechanism design has gained wide attention as a tool for addressing this challenge. Here existing surveys lack detailed studies in this area, hence this work presents a comprehensive survey on the state-of-the-art auction-based mechanisms in the field of cloud/edge computing. First, the problem statements and background are presented for cloud/edge computing and auction theory. This is followed by a collaboration model on the benefits of auction mechanism designs to cloud/edge computing. Next, various auction mechanisms in cloud computing are reviewed based upon the following aspects: (1) direction of bids-forward, reverse, and two-sided auctions, (2) the heterogeneity of resources-combinatorial auctions, (3) the number and types of adopted attributes in winner determination-multi-attribute auctions, (4) the setting of auction-offline, online, or sequential auctions, and (5) the interoperability among cloud providers-inter-clouds. For each aspect, existing studies are summarized along with their saliencies and drawbacks. Moreover, existing auction mechanisms in the context of edge computing are also presented, followed by existing challenges and research directions.INDEX TERMS Auction mechanism design, cloud computing, edge computing, resource management, resource pricing.

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“…For supporting multi-issues negotiation in the Cloud market, Patel et al [38] proposed the double auction approach for improving the satisfaction degree of both sides. In the mobile edge cloud federation, Yadav et al [39] proposed the profit maximized auction approach for the efficiency in price model.…”

Section: Vertical Federation Cloudmentioning

confidence: 99%

Agent-based Multi-tier SLA Negotiation for Intercloud

Lin

Zhu

2021

Preprint

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The evolving intercloud enables idle resources to be traded among cloud providers to facilitate optimizing utilization and to improve the cost-effectiveness of service for cloud consumers. However, several challenges are raised for this multi-tier dynamic market, where cloud providers not only compete for consumer requests but also cooperate with each other. To establish a healthier and more efficient intercloud ecosystem, this paper proposed a multi-tier agent-based fuzzy constraint-directed negotiation (AFCN) model for a fully distributed negotiation environment without a broker to coordinate the negotiation process. The novelty of AFCN is the use of a fuzzy membership function to represent imprecise preferences of the agent, which not only reveals the opponent’s behavior preference but can also specify the possibilities prescribing the extent to which the feasible solutions are suitable for the agent’s behavior. Moreover, this information can pass and guide each tier of negotiation to generate a more favorable proposal. Thus, the multi-tier AFCN can not only improve the performance of negotiation, but also enforce global consistency to improve the integrated solution capacity in the intercloud. The experimental results demonstrate that the proposed multi-tier AFCN model outperforms other agent negotiation models and gives full play to the efficiency and scalability of the intercloud in terms of the level of satisfaction, the ratio of successful negotiation, the average revenue of the cloud provider, and the buying price of the unit cloud resource.

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

Cited by 17 publications

References 43 publications

Agent-based multi-tier SLA negotiation for intercloud

Agent-based multi-tier SLA negotiation for intercloud

A Comprehensive Survey on Auction Mechanism Design for Cloud/Edge Resource Management and Pricing

Agent-based Multi-tier SLA Negotiation for Intercloud

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