DocumentCode
172824
Title
Core-Selecting Auctions for Dynamically Allocating Heterogeneous VMs in Cloud Computing
Author
Haoming Fu ; Zongpeng Li ; Chuan Wu ; Xiaowen Chu
fYear
2014
fDate
June 27 2014-July 2 2014
Firstpage
152
Lastpage
159
Abstract
In a cloud market, the cloud provider provisions heterogeneous virtual machine (VM) instances from its resource pool, for allocation to cloud users. Auction-based allocations are efficient in assigning VMs to users who value them the most. Existing auction design often overlooks the heterogeneity of VMs, and does not consider dynamic, demand-driven VM provisioning. Moreover, the classic VCG auction leads to unsatisfactory seller revenues and vulnerability to a strategic bidding behavior known as shill bidding. This work presents a new type of core-selecting VM auctions, which are combinatorial auctions that always select bidder charges from the core of the price vector space, with guaranteed economic efficiency under truthful bidding. These auctions represent a comprehensive three-phase mechanism that instructs the cloud provider to judiciously assemble, allocate, and price VM bundles. They are proof against shills, can improve seller revenue over existing auction mechanisms, and can be tailored to maximize truthfulness.
Keywords
cloud computing; pricing; resource allocation; virtual machines; VCG auction; auction-based allocations; cloud computing; combinatorial auctions; core-selecting VM auctions; core-selecting auctions; economic efficiency; heterogeneous VM allocation; price vector space; resource pool; shill bidding; strategic bidding behavior; Cost accounting; Dynamic scheduling; Economics; Educational institutions; Resource management; Vectors; Virtual machining; Auction; Cloud Computing; Virtual Machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing (CLOUD), 2014 IEEE 7th International Conference on
Conference_Location
Anchorage, AK
Print_ISBN
978-1-4799-5062-1
Type
conf
DOI
10.1109/CLOUD.2014.30
Filename
6973736
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