Elastic virtual network function placement

Ghaznavi, Milad; Khan, Ashfaque H.; Shahriar, Nashid; Alsubhi, Khalid; Ahmed, Reaz; Boutaba, Raouf

doi:10.1109/cloudnet.2015.7335318

Cited by 186 publications

(102 citation statements)

References 15 publications

Supporting

Mentioning

102

Contrasting

Order By: Relevance

“…al. [14] look for minimizing operational costs in providing virtual network function (VNF) as a service. Unlike these works, the main focus of this paper is on the reduction of the service latency, while other optimization goals are also considered with lower priority levels.…”

Section: Related Workmentioning

confidence: 99%

Service placement for latency reduction in the internet of things

et al. 2016

View full text Add to dashboard Cite

New services and applications become part of our daily activities as we evolve into new solutions supported by cutting-edge paradigms, like the Internet of Things and Smart Cities. In order to properly achieve the benefits theoretically provided by these models, new kinds of services must be designed. These new services have special requirements, as well as the users that access to them. One of these requirements is low latency levels, since a delayed reply could render to chaos for applications such as eHealth and public safety. The communication infrastructure must cope with these challenges by offering innovative solutions. One of these solutions is a smart service placement system that facilitates the location of services in the proper position according to specific needs. On this paper, a service placement architecture for the Internet of Things is proposed, with especial emphasis in its main module, the Service Orchestrator, for which implementation details are provided, including a model for the service placement task. Furthermore, technologies to implement the modules from the architecture are suggested. This proposal, as well as its validation, is framed within the scope of the SusCity project.

show abstract

Section: Related Workmentioning

confidence: 99%

Service placement for latency reduction in the internet of things

et al. 2016

View full text Add to dashboard Cite

show abstract

“…The size of ( ) is defined as = min + ⋅ ( max − min )/ , where max = and min = 0.5 are the maximum and the minimum size of neighborhood, respectively, and and are the current and the maximum number of iterations of neighborhood search, respectively. Note that though the generated neighboring solutions satisfy (20) and (21), some of them may violate (19), which should be eliminated.…”

Section: Proposed Algorithmmentioning

confidence: 99%

“…But the end-to-end latency of a flow may be large resulting from long distance between two instances belonging to the same flow. In [20], Ghaznavi et al compare different 3 operations of VNFs or flows. But they assume one VNFinstance type.…”

Section: Related Workmentioning

confidence: 99%

“…So the maximum latency of those paths is regarded as the service latency of security request ( (18)), where stf() is step function and it is assumed that stf(0) = 0; (19) is a constraint on the maximum bandwidth of physical links that can be assigned to different virtual links; (20) is the flow conservation constraint. It ensures that, for every node in the physical network, if one of its incoming links belongs to the path which a virtual link is mapped to, one of its outgoing links also belongs to that path.…”

Section: Formulationmentioning

confidence: 99%

See 1 more Smart Citation

A New Approach for Delivering Customized Security Everywhere: Security Service Chain

Liu

Zhang

Liu

et al. 2017

Security and Communication Networks

View full text Add to dashboard Cite

Security functions are usually deployed on proprietary hardware, which makes the delivery of security service inflexible and of high cost. Emerging technologies such as software-defined networking and network function virtualization go in the direction of executing functions as software components in virtual machines or containers provisioned in standard hardware resources. They enable network to provide customized security service by deploying Security Service Chain (SSC), which refers to steering flow through multiple security functions in a particular order specified by individual user or application. However, SSC Deployment Problem (SSC-DP) needs to be solved. It is a challenging problem for various reasons, such as the heterogeneity of instances in terms of service capacity and resource demand. In this paper, we propose an SSC-based approach to deliver security service to users without worrying about physical locations of security functions. For SSC-DP, we present a three-phase method to solve it while optimizing network and security resource allocation. The presented method allows network to serve a large number of flows and minimizes the latency seen by flows. Comparative experiments on the fat-tree and Waxman topologies show that our method performs better than other heuristics under a wide range of network conditions.

show abstract

“…Mapping the NFs in descending order in terms of requirements. Ghaznavi et al [166] addressed the elastic VNF-P problem and proposed a method called simple lazy facility location that optimizes the placement of VNF instances in response to on-demand workload. Gil et al [19] presented a comprehensive survey on the NFV resource-allocation (NFV-RA) problem.…”

Section: Resource Managementmentioning

confidence: 99%

Research Challenges for Network Function Virtualization - Re-Architecting Middlebox for High Performance and Efficient, Elastic and Resilient Platform to Create New Services -

Shiomoto

2018

IEICE Trans. Commun.

View full text Add to dashboard Cite

SUMMARYToday's enterprise, data-center, and internet-serviceprovider networks deploy different types of network devices, including switches, routers, and middleboxes such as network address translation and firewalls. These devices are vertically integrated monolithic systems. Software-defined networking (SDN) and network function virtualization (NFV) are promising technologies for dis-aggregating vertically integrated systems into components by using "softwarization". Software-defined networking separates the control plane from the data plane of switch and router, while NFV decouples high-layer service functions (SFs) or Network Functions (NFs) implemented in the data plane of a middlebox and enables the innovation of policy implementation by using SF chaining. Even though there have been several survey studies in this area, this area is continuing to grow rapidly. In this paper, we present a recent survey of this area. In particular, we survey research activities in the areas of re-architecting middleboxes, state management, high-performance platforms, service chaining, resource management, and trouble shooting. Efforts in these research areas will enable the development of future virtual-network-function platforms and innovation in service management while maintaining acceptable capital and operational expenditure. key words: network function virtualization, software-defined networking, service chain, policy management, resource management

show abstract

Elastic virtual network function placement

Cited by 186 publications

References 15 publications

Service placement for latency reduction in the internet of things

Service placement for latency reduction in the internet of things

A New Approach for Delivering Customized Security Everywhere: Security Service Chain

Research Challenges for Network Function Virtualization - Re-Architecting Middlebox for High Performance and Efficient, Elastic and Resilient Platform to Create New Services -

Contact Info

Product

Resources

About