Optimal service placement using Pseudo service chaining mechanism for cloud-based multimedia services
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Optimal service placement using Pseudo service chaining mechanism for cloud-based multimedia services Taeheum Na 1 & Pyungkoo Park 1 & Hoyong Ryu 1 & TaeYeon Kim 1 & Jinsul Kim 2 & Jaehyung Park 2 Received: 27 June 2019 / Revised: 11 November 2019 / Accepted: 15 May 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract
Network function virtualization based service chaining has recently received significant attention. In cloud environment, virtual machine typically be scheduled to load balancing among computing nodes. Therefore, the relation between virtual machines is not considered when it is scheduled. However, the location of virtual machines be able to affects network performance for intra virtual machines. Video/image processing and transmission are key processes for cloud-based over-the-top content provider. In this paper, we propose a pseudo service chaining mechanism for efficiently allocating computing nodes in a service chain to guarantee quality of services. The mechanism defines a pseudo service chain to reduce the network overhead which mainly causes performance degradation and places highly correlated virtual machines on the nearest computing node. The performance of proposed mechanism was evaluated on real cloud testbed. Keywords Network function virtualization (NFV) . Service chaining . Virtual machine (VM) . Placement . Scheduling . Multimedia * Taeheum Na [email protected] Pyungkoo Park [email protected] Hoyong Ryu [email protected] TaeYeon Kim [email protected] Jinsul Kim [email protected] Jaehyung Park [email protected] Extended author information available on the last page of the article
Multimedia Tools and Applications
1 Introduction With the recent interest in virtualized cloud computing-based service platforms, new application services are emerging to meet complex and detailed user requirements. In networking field of virtualization service, NFV (Network Function Virtualization) based service chaining becomes an interesting issue. Network functions in NFV utilize resource dynamically and efficiently in virtualized space. Because the dynamic use of network functions in a manner to achieve the highest resource efficiency is an essential requirement in a virtualized space. In particular, research on the service chain defines multiple network functions and provides service chains to multi-tenancy for providing independent virtual space [1]. The use of network functions on these virtualization service platforms should consider service characteristics to improve service performance efficiently. However, existing open-source and commercial service platforms focus on providing network connectivity between VMs. The service performance is degraded because VMs are allocated to computing nodes with the largest available resources. Placement of virtual machines, considering only available resources are difficult to guarantee high quality of service [2, 3]. In particular, video/image processing and transmission are key processes that have a direct impact on image
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