NDLI: Fair network bandwidth allocation in iaas datacenters via a cooperative game approach

Content Provider	ACM Digital Library
Author	Guo, Jian Lui, John C. S. Jin, Hai Liu, Fangming
Copyright Year	2016
Description	Author Affiliation: Huazhong University of Science and Technology, Wuhan, China(The chinese university of hong kong, Shatin, N.T, Hong Kong (Jin, Hai; Lui, John C S); Liu, Fangming; Guo, Jian)
Abstract	With wide application of virtualization technology, tenants are able to access isolated cloud services by renting the shared resources in Infrastructure-as-a-Service (IaaS) datacenters. Unlike resources such as CPU and memory, datacenter network, which relies on traditional transport-layer protocols, suffers unfairness due to a lack of virtual machine (VM)-level bandwidth guarantees. In this paper, we model the datacenter bandwidth allocation as a cooperative game, toward VM-based fairness across the datacenter with two main objectives: 1) guarantee bandwidth for VMs based on their base bandwidth requirements, and 2) share residual bandwidth in proportion to the weights of VMs. Through a bargaining game approach, we propose a bandwidth allocation algorithm, $\textit{Falloc},$ to achieve the asymmetric Nash bargaining solution (NBS) in datacenter networks, which exactly meets our objectives. The cooperative structure of the algorithm is exploited to develop an online algorithm for practical real-world implementation. We validate $\textit{Falloc}$ with experiments under diverse scenarios and show that by adapting to different network requirements of VMs, $\textit{Falloc}$ can achieve fairness among VMs and balance the tradeoff between bandwidth guarantee and proportional bandwidth sharing. Our large-scale trace-driven simulations verify that $\textit{Falloc}$ achieves high utilization while maintaining fairness among VMs in datacenters.
Starting Page	873
Ending Page	886
Page Count	14
File Format	PDF
ISSN	10636692
Volume Number	24
Issue Number	2
Journal	IEEE/ACM Transactions on Networking (TON)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-04-01
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Nash bargaining solution Bandwidth allocation Fairness Infrastructure-as-a-service (IaaS) datacenter
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Networks and Communications Software Computer Science Applications

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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
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Falloc: fair network bandwidth allocation in iaas datacenters via a bargaining game approach.

A cooperative game based allocation for sharing data center networks.

C.S., “Falloc: Fair network bandwidth allocation in iaas datacenters via a bargaining game approach (2013)

Falloc: Fair network bandwidth allocation in IaaS datacenters via a bargaining game approach

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Generalized nash bargaining solution for bandwidth allocation (2006).

Fair network bandwidth allocation in iaas datacenters via a cooperative game approach

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Fair network bandwidth allocation in iaas datacenters via a cooperative game approach