NDLI: Maximizing Cloud Provider Profit from Equilibrium Price Auctions

Content Provider	IEEE Xplore Digital Library
Author	Lampe, U. Siebenhaar, M. Papageorgiou, A. Schuller, D. Steinmetz, R.
Copyright Year	2012
Abstract	Auctioning constitutes a market-driven scheme for the allocation of cloud-based computing capacities. It is practically applied today in the context of Infrastructure as a Service offers, specifically, virtual machines. However, the maximization of auction profits poses a challenging task for the cloud provider, because it involves the concurrent determination of equilibrium prices and distribution of virtual machine instances to the underlying physical hosts in the data center. In the work at hand, we propose an optimal approach, based on linear programming, as well as a heuristic approach to tackle this Equilibrium Price Auction Allocation Problem (EPAAP). Through an evaluation based on realistic data, we show the practical applicability and benefits of our contributions. Specifically, we find that the heuristic approach reduces the average computation time to solve an EPAAP by more than 99.9%, but still maintains a favorable average solution quality of 96.7% in terms of cloud provider profit, compared to the optimal approach.
Starting Page	83
Ending Page	90
File Size	324201
Page Count	8
File Format	PDF
ISBN	9781467328920
ISSN	21596190
DOI	10.1109/CLOUD.2012.19
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing Computational modeling Auction IaaS Computational complexity Equilibrium Optimization Equations Cloud Computing Allocation Resource management Mathematical model Optimal Heuristic
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Maximizing Profit in Cloud Computing System via Resource Allocation

Online Auctions in IaaS Clouds: Welfare and Profit Maximization with Server Costs

Cloud Computing Model without Resource Management Center

A cost-efficient QoS-aware model for cloud IaaS resource allocation in large datacenters

Applying Double-Sided Combinational Auctions to Resource Allocation in Cloud Computing

Price competition in a duopoly IaaS cloud market

Optimal Strategy-Proof Wireless Resources Auction

Efficient Nash equilibrium resource allocation based on game theory mechanism in cloud computing by using auction

Bid-Proportional Auction for Resource Allocation in Capacity-Constrained Clouds

Maximizing Cloud Provider Profit from Equilibrium Price Auctions

Similar Documents

Maximizing Profit in Cloud Computing System via Resource Allocation

Online Auctions in IaaS Clouds: Welfare and Profit Maximization with Server Costs

Cloud Computing Model without Resource Management Center

A cost-efficient QoS-aware model for cloud IaaS resource allocation in large datacenters

Applying Double-Sided Combinational Auctions to Resource Allocation in Cloud Computing

Price competition in a duopoly IaaS cloud market

Optimal Strategy-Proof Wireless Resources Auction

Efficient Nash equilibrium resource allocation based on game theory mechanism in cloud computing by using auction

Bid-Proportional Auction for Resource Allocation in Capacity-Constrained Clouds

Maximizing Cloud Provider Profit from Equilibrium Price Auctions