Topology-Aware Resource-Efficient Placement for High Availability Clusters Over Geo-Distributed Cloud Infrastructure

Do, Truong-Xuan; Kim, Young-Han

doi:10.1109/access.2019.2932477

Cited by 7 publications

(4 citation statements)

References 15 publications

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“…Eqs. (8) and (9) state that for each VNF in the SFC, there must be some VMs and servers (provisioning the VNF) on the chosen path for a service request. The constraints indicate that the value of binary variables qi abkmn and γ si abkmn will be 1 only when the path P M k ab contains node i.…”

Section: Objective Functionmentioning

confidence: 99%

“…In contrast, we aim to design a service provider network that provides high-available services. In [8] is a VNF placement approach considering high-availability. Authors presented an ILP and a resource-efficient VNF placement for the highavailability deployment of a cluster over geo-distributed clouds.…”

Section: Related Workmentioning

confidence: 99%

“…Authors presented an ILP and a resource-efficient VNF placement for the highavailability deployment of a cluster over geo-distributed clouds. The work in [8] does not considers a provider network setting and other SLOs such as delay.…”

Section: Related Workmentioning

confidence: 99%

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VNF Availability and SFC Sizing Model for Service Provider Networks

et al. 2020

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This paper considers service provider network design with a view of meeting application availability. Our primary goal is to design a service provider network using disparate network components and low-availability Virtual Network Functions (VNFs) while achieving high-availability Service Function Chains (SFCs). To this end, we attempt to answer the questions as to how much redundancy, and what type of redundancy should be incorporated in the network. Initially, we model a state-of-the-art provider architecture that is spread across the access, metro-core and backbone networks with associated discrete components such as switches, routers, optical equipment and data-centers. Our network design model leads to computing the amount of over-the-top (OTT) services that can be provisioned over a given network while achieving a particular availability. To this end, we formulate a constrained optimization model whose objective is profit maximization subject to availability measures that OTT services demand. We provide constraints of robustness that facilitate traffic churn. Four heuristics are also proposed with objectives that consider the breadth of the three key impacting parameters: VNF licensing cost, server utilization and delay optimization and the case for dynamic traffic. A simulation model presents comparative data for efficiency, latency and server utilization as well as validates our optimization model. The results stress the importance of an efficient optimization model in planning the network, as well as planning VNF placement ahead in time.

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Section: Objective Functionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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VNF Availability and SFC Sizing Model for Service Provider Networks

et al. 2020

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“…Q. Zhang et al presented a framework for dynamic service placement based on controland game-theoretic models and proposed a coordination mechanism to maximize the social welfare of the system [26]. T. Do and Y. Kim proposed an optimization model and topology-aware resource-efficient placement algorithm (TARE), which considered the different requirements of various high availability clusters and could be employed to optimally deploy high availability clusters with different redundancy configurations over geo-distributed cloud infrastructures [27]. H. Xiang et al focused on server placement and proposed a cluster-based flexible server placement to allocate resources for edge service nodes [10].…”

Section: B Service Node Placementmentioning

confidence: 99%

A Dynamic Virtual Datacenter Selection Strategy for Integrated Cloud Service Platform Construction With Multiclouds

Huang

Sun

et al. 2019

IEEE Access

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The pay-as-you-go model and network virtualization of cloud computing allow micro and small content businesses (MSCBs) who construct their integrated cloud service platforms (ICSPs) with virtual datacenters (VDCs) to serve their end users with low service latency and construction cost. However, designing a flexible VDC selection strategy to meet the demands of MSCBs is a challenging task. To address this problem, a dynamic VDC selection strategy is designed for MSCBs to construct their ICSPs flexibly with the VDCs from different clouds. To this end, three dynamic landmark selection metrics are proposed and applied to construct the network coordinates. Then, a dynamic VDC selection algorithm is presented to determine the locations and service resources of VDCs, which are purchased from different clouds by MSCBs to construct their ICSPs. Based on our VDC selection strategy, a simulator is developed based on our designed experimental framework to evaluate our VDC selection strategy. The experimental results show that compared with previous server placement strategies, our strategy can actively and effectively determine VDCs' locations and allocate service resources for each VDC with less computing consumption and is a practical VDC selection strategy for cloud construction in a multicloud environment.

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Reliability Reference Model for Topology Configuration

Reeser

2021

Lecture Notes in Computer Science

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Topology-Aware Resource-Efficient Placement for High Availability Clusters Over Geo-Distributed Cloud Infrastructure

Cited by 7 publications

References 15 publications

VNF Availability and SFC Sizing Model for Service Provider Networks

VNF Availability and SFC Sizing Model for Service Provider Networks

A Dynamic Virtual Datacenter Selection Strategy for Integrated Cloud Service Platform Construction With Multiclouds

Reliability Reference Model for Topology Configuration

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