A price-aware congestion control protocol for cloud services

Abstract In current infrastructure-as-a service (IaaS) cloud services, customers are charged for the usage of computing/storage resources only, but not the network resource. The difficulty lies in the fact that it is nontrivial to allocate network resource to individual customers effectively, especi...

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Autores principales:	Xiaocui Sun, Zhijun Wang, Yunxiang Wu, Hao Che, Hong Jiang
Formato:	article
Lenguaje:	EN
Publicado:	SpringerOpen 2021
Materias:	Pricing model Cloud computing Congestion control Network utility maximization Computer engineering. Computer hardware TK7885-7895 Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/ce0b8b2b15104b108ef0e29a9d0e2d01
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id	oai:doaj.org-article:ce0b8b2b15104b108ef0e29a9d0e2d01
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spelling	oai:doaj.org-article:ce0b8b2b15104b108ef0e29a9d0e2d012021-11-21T12:30:46ZA price-aware congestion control protocol for cloud services10.1186/s13677-021-00271-52192-113Xhttps://doaj.org/article/ce0b8b2b15104b108ef0e29a9d0e2d012021-11-01T00:00:00Zhttps://doi.org/10.1186/s13677-021-00271-5https://doaj.org/toc/2192-113XAbstract In current infrastructure-as-a service (IaaS) cloud services, customers are charged for the usage of computing/storage resources only, but not the network resource. The difficulty lies in the fact that it is nontrivial to allocate network resource to individual customers effectively, especially for short-lived flows, in terms of both performance and cost, due to highly dynamic environments by flows generated by all customers. To tackle this challenge, in this paper, we propose an end-to-end Price-Aware Congestion Control Protocol (PACCP) for cloud services. PACCP is a network utility maximization (NUM) based optimal congestion control protocol. It supports three different classes of services (CoSes), i.e., best effort service (BE), differentiated service (DS), and minimum rate guaranteed (MRG) service. In PACCP, the desired CoS or rate allocation for a given flow is enabled by properly setting a pair of control parameters, i.e., a minimum guaranteed rate and a utility weight, which in turn, determines the price paid by the user of the flow. Two pricing models, i.e., a coarse-grained VM-Based Pricing model (VBP) and a fine-grained Flow-Based Pricing model (FBP), are proposed. The optimality of PACCP is verified by both large scale simulation and small testbed implementation. The price-performance consistency of PACCP are evaluated using real datacenter workloads. The results demonstrate that PACCP provides minimum rate guarantee, high bandwidth utilization and fair rate allocation, commensurate with the pricing models.Xiaocui SunZhijun WangYunxiang WuHao CheHong JiangSpringerOpenarticlePricing modelCloud computingCongestion controlNetwork utility maximizationComputer engineering. Computer hardwareTK7885-7895Electronic computers. Computer scienceQA75.5-76.95ENJournal of Cloud Computing: Advances, Systems and Applications, Vol 10, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Pricing model Cloud computing Congestion control Network utility maximization Computer engineering. Computer hardware TK7885-7895 Electronic computers. Computer science QA75.5-76.95
spellingShingle	Pricing model Cloud computing Congestion control Network utility maximization Computer engineering. Computer hardware TK7885-7895 Electronic computers. Computer science QA75.5-76.95 Xiaocui Sun Zhijun Wang Yunxiang Wu Hao Che Hong Jiang A price-aware congestion control protocol for cloud services
description	Abstract In current infrastructure-as-a service (IaaS) cloud services, customers are charged for the usage of computing/storage resources only, but not the network resource. The difficulty lies in the fact that it is nontrivial to allocate network resource to individual customers effectively, especially for short-lived flows, in terms of both performance and cost, due to highly dynamic environments by flows generated by all customers. To tackle this challenge, in this paper, we propose an end-to-end Price-Aware Congestion Control Protocol (PACCP) for cloud services. PACCP is a network utility maximization (NUM) based optimal congestion control protocol. It supports three different classes of services (CoSes), i.e., best effort service (BE), differentiated service (DS), and minimum rate guaranteed (MRG) service. In PACCP, the desired CoS or rate allocation for a given flow is enabled by properly setting a pair of control parameters, i.e., a minimum guaranteed rate and a utility weight, which in turn, determines the price paid by the user of the flow. Two pricing models, i.e., a coarse-grained VM-Based Pricing model (VBP) and a fine-grained Flow-Based Pricing model (FBP), are proposed. The optimality of PACCP is verified by both large scale simulation and small testbed implementation. The price-performance consistency of PACCP are evaluated using real datacenter workloads. The results demonstrate that PACCP provides minimum rate guarantee, high bandwidth utilization and fair rate allocation, commensurate with the pricing models.
format	article
author	Xiaocui Sun Zhijun Wang Yunxiang Wu Hao Che Hong Jiang
author_facet	Xiaocui Sun Zhijun Wang Yunxiang Wu Hao Che Hong Jiang
author_sort	Xiaocui Sun
title	A price-aware congestion control protocol for cloud services
title_short	A price-aware congestion control protocol for cloud services
title_full	A price-aware congestion control protocol for cloud services
title_fullStr	A price-aware congestion control protocol for cloud services
title_full_unstemmed	A price-aware congestion control protocol for cloud services
title_sort	price-aware congestion control protocol for cloud services
publisher	SpringerOpen
publishDate	2021
url	https://doaj.org/article/ce0b8b2b15104b108ef0e29a9d0e2d01
work_keys_str_mv	AT xiaocuisun apriceawarecongestioncontrolprotocolforcloudservices AT zhijunwang apriceawarecongestioncontrolprotocolforcloudservices AT yunxiangwu apriceawarecongestioncontrolprotocolforcloudservices AT haoche apriceawarecongestioncontrolprotocolforcloudservices AT hongjiang apriceawarecongestioncontrolprotocolforcloudservices AT xiaocuisun priceawarecongestioncontrolprotocolforcloudservices AT zhijunwang priceawarecongestioncontrolprotocolforcloudservices AT yunxiangwu priceawarecongestioncontrolprotocolforcloudservices AT haoche priceawarecongestioncontrolprotocolforcloudservices AT hongjiang priceawarecongestioncontrolprotocolforcloudservices
_version_	1718418972059107328

A price-aware congestion control protocol for cloud services

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