Novel Framework of Risk-Aware Virtual Network Embedding in Optical Data Center Networks

Hou, Weigang; Ning, Zhaolong; Chen, Zhikui; Obaidat, Mohammad S.

doi:10.1109/jsyst.2017.2673828

Cited by 56 publications

(16 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are also studies focusing on security [30] and network topology [31]. However, almost all the existing publications on VDC embedding deal only with unicast services and have not considered embedding VDCs with a mixture of both unicast and multicast services.…”

Section: Vdc Embeddingmentioning

confidence: 99%

Efficient and Green Embedding of Virtual Data Centers with Mixture of Unicast and Multicast Services

Guo

Bose

et al. 2021

IEEE Trans. Cloud Comput.

View full text Add to dashboard Cite

The improved efficiency achieved by virtualizing data centers (DCs) has been well established. In this paper, we propose a mixed Virtual Data Center (VDC) capable of supporting both unicast and multicast services. We provide a new method to realize the embedding of these VDCs. We also provide a Mixed Integer Linear Programming (MILP) formulation and a scalable heuristic algorithm for efficiently embedding its demands. Numerical results show that mixed VDC embedding supporting both unicast and multicast services performs significantly better than existing embedding methods in terms of system cost, power consumption, link capacity utilization, and VDC acceptance ratio.

show abstract

Section: Vdc Embeddingmentioning

confidence: 99%

Efficient and Green Embedding of Virtual Data Centers with Mixture of Unicast and Multicast Services

Guo

Bose

et al. 2021

IEEE Trans. Cloud Comput.

View full text Add to dashboard Cite

show abstract

“…The underlying physical network topology used in this paper is a WDM-based optical network [31][32][33][34][35]; its communication link medium is optical fiber. There are optical transmitters and optical receivers at the end of the fiber link, and there are optical amplifiers on the link.…”

Section: Underlying Networkmentioning

confidence: 99%

Energy Efficient Deployment of a Service Function Chain for Sustainable Cloud Applications

et al. 2018

View full text Add to dashboard Cite

With the increasing popularity of the Internet, user requests for cloud applications have dramatically increased. The traditional model of relying on dedicated hardware to implement cloud applications has not kept pace with the rapid growth in demand. Network function virtualization (NFV) architecture emerged at a historic moment. By moving the implementation of functions to software, a separation of functions and hardware was achieved. Therefore, when user demand increases, cloud application providers only need to update the software; the underlying hardware does not change, which can improve network scalability. Although NFV solves the problem of network expansion, deploying service function chains into the underlying network to optimize indicators remains an important research problem that requires consideration of delay, reliability, and power consumption. In this paper, we consider the optimization of power consumption with the premise of guaranteeing a certain virtual function link yield. We propose an efficient algorithm that is based on first-fit and greedy algorithms to solve the problem. The simulation results show that the proposed algorithm substantially improves the path-finding efficiency, achieves a higher request acceptance ratio and reduces power consumption while provisioning the cloud applications. Compared with the baseline algorithm, the service function chain (SFC) acceptance ratio of our proposed algorithms improves by a maximum of approximately 15%, our proposed algorithm reduces the power consumption by a maximum of approximately 15%, the average link load ratio of our proposed algorithm reduces by a maximum of approximately 20%, and the average mapped path length of our proposed algorithm reduces by a maximum of approximately 1.5 hops.

show abstract

“…In [26], the authors propose an approach to determine the risk associated with a given Virtual Machine using threat and vulnerability factors. These factors identify which incoming VN requests can be risky.…”

Section: Related Workmentioning

confidence: 99%

Efficient resource allocation and dimensioning of media edge clouds infrastructure

et al. 2017

View full text Add to dashboard Cite

Media Edge Cloud Data Centers (MEC-DCs) that are interconnected by a Metro Network were selected as infrastructure to enhance the Quality of Experience (QoE) for end users of multimedia applications. Unlike the traditional Data Centers, MEC-DCs, which are kept closer to the user, have limited availability of resources at a given Data Center. Therefore, it is of paramount importance for Infrastructure service providers to efficiently dimension and use the media resources in an environment where the applications have high resource demand and the infrastructure has limited availability. To perform this task dynamically, we first propose a resource allocation strategy that considers the physical characteristics of the networking layer while minimizing the costs of deploying media applications. Second, we analyze the different configurations of the networking layer in order to enhance the use of MEC-DCs resources and the QoE for the end-users. Simulation results show a clear advantage of this proposed optimization-based approach over the benchmarks in terms of provisioning costs, blocking ratio and resource use.

show abstract

Novel Framework of Risk-Aware Virtual Network Embedding in Optical Data Center Networks

Cited by 56 publications

References 14 publications

Efficient and Green Embedding of Virtual Data Centers with Mixture of Unicast and Multicast Services

Efficient and Green Embedding of Virtual Data Centers with Mixture of Unicast and Multicast Services

Energy Efficient Deployment of a Service Function Chain for Sustainable Cloud Applications

Efficient resource allocation and dimensioning of media edge clouds infrastructure

Contact Info

Product

Resources

About