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Incentive-Compatible Online Mechanisms for Resource Provisioning and Allocation in Clouds

https://doi.org/10.1109/cloud.2014.50

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Knapsack Problems

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Algorithmic Game Theory

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Online Mechanisms

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An Online Mechanism for Dynamic VM Provisioning and Allocation in Clouds

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A Family of Truthful Greedy Mechanisms for Dynamic Virtual Machine Provisioning and Allocation in Clouds

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Exploiting Performance and Cost Diversity in the Cloud

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Optimal approximation algorithm of virtual machine placement for data latency minimization in cloud systems

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A truthful approximation mechanism for autonomic virtual machine provisioning and allocation in clouds

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Recent advancements in resource allocation techniques for cloud computing environment: a systematic review

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Computational pricing in Internet era

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Resource trading in cloud environments for utility maximisation using game theoretic modelling approach

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Smart Waste Management System Using IoT

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

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Joint Resource Provisioning for Internet Datacenters with Diverse and Dynamic Traffic

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Joint Optimization of Operational Cost and Performance Interference in Cloud Data Centers

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A Shapley-Value Mechanism for Bandwidth On Demand between Datacenters

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An Online Auction Framework for Dynamic Resource Provisioning in Cloud Computing

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Energy-Aware Scheduling of MapReduce Jobs for Big Data Applications

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MotiShare: Incentive Mechanisms for Content Providers in Heterogeneous Time-varying Edge Content Market

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Multiagent-Based Resource Allocation for Energy Minimization in Cloud Computing Systems

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Dynamic Resource Pricing and Scalable Cooperation for Mobile Cloud Computing

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Efficient Mechanism Design for Online Scheduling

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Self-Alerting Garbage Bins Using Internet of Things

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