Survivable Virtual Infrastructure Mapping in a Federated Computing and Networking System under Single Regional Failures

Yu, Hongfang; Qiao, Chunming; Anand, Vishal; Liu, Xin; Di, Hao; Sun, Gang

doi:10.1109/glocom.2010.5683951

Cited by 82 publications

(63 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Even if the mapping of all the virtual nodes is accomplished, the mapping of virtual links is still complicated. As a result, there are many VN mapping algorithms that can map as many VNs onto the physical network of edge-of-things computing as possible and minimize the VN mapping costs [26][27][28][29][30]. The VN mapping algorithm proposed in [26] maps the VNs under the guidance of minimizing mapping costs.…”

Section: Introductionmentioning

confidence: 99%

“…However, it does not take the nodal survivability into consideration. The author comes up with the multiple VN mapping problems that consider survivability in [29], which introduces the VN mapping algorithm that considers the circumstance of physical network link failures. Research in [27] studies the VN mapping problem.…”

Section: Introductionmentioning

confidence: 99%

“…The author in [28] researched the redeployment and migration problem of the dynamic VN. The authors in [29,30] study the problem of VN mapping while considering the local failures of the physical network in edge-of-things computing.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Reliable design for virtual network requests with location constraints in edge-of-things computing

Zhang

Sangaiah

2018

J Wireless Com Network

View full text Add to dashboard Cite

How to efficiently map virtual networks (VNs) onto a shared physical network is a challenging issue in the field of network virtualization in edge-of-things computing. Since an efficient VN mapping approach can reduce network resource consumption, lower latency, and enhance service reliability, it is important for both customers and network service providers. In this paper, we study the problem of mapping multiple VNs with geographic location constraints onto a physical network while considering the survivability and reliability requirements of each VN request in edge-ofthings based data centers. We present the model of this problem and propose a Geographic-Guided Survivable Multiple VN Mapping (GG-SMVNM) algorithm to efficiently solve this problem, which simultaneously considers resource sharing and mapping VN links and nodes in edge-of-things computing. Furthermore, we conduct a large amount of simulations to validate and evaluate our proposed approach. The simulation results show that the proposed method is superior to the existing solution.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Reliable design for virtual network requests with location constraints in edge-of-things computing

Zhang

Sangaiah

2018

J Wireless Com Network

View full text Add to dashboard Cite

show abstract

“…Furthermore, those authors also point out that other work treats optimization of (i) routing cloud service requests and (ii) mapping a VNet to the physical infrastructure separately. In the problem of survivable VNet embedding, [7] and [8] consider that the VNet is already designed and given, while in [9], [10], the authors build the most bandwidth efficient resilient VNet, under unicast traffic assumptions and using either single or multiple hop routing of requests in the virtual network. In proposing solutions for optimal server selection, as well as physical layer routing of anycast services for intra-and inter-DC networks, the resilience of the resulting virtual layer design is not considered by [11], [12].…”

Section: Related Workmentioning

confidence: 99%

Resilience options for provisioning anycast cloud services with virtual optical networks

Bùi

Jaumard

Develder

2014

2014 IEEE International Conference on Communications (ICC)

View full text Add to dashboard Cite

Abstract-Optical networks are crucial to support increasingly demanding cloud services. Delivering the requested quality of services (in particular latency) is key to successfully provisioning end-to-end services in clouds. Therefore, as for traditional optical network services, it is of utter importance to guarantee that clouds are resilient to any failure of either network infrastructure (links and/or nodes) or data centers. A crucial concept in establishing cloud services is that of network virtualization: the physical infrastructure is logically partitioned in separate virtual networks. To guarantee end-to-end resilience for cloud services in such a set-up, we need to simultaneously route the services and map the virtual network, in such a way that an alternate routing in case of physical resource failures is always available. Note that combined control of the network and data center resources is exploited, and the anycast routing concept applies: we can choose the data center to provide server resources requested by the customer to optimize resource usage and/or resiliency. This paper investigates the design of scalable optimization models to perform the virtual network mapping resiliently. We compare various resilience options, and analyze their compromise between bandwidth requirements and resiliency quality.

show abstract

“…Furthermore, those authors also point out that other work treats optimization of (i) routing cloud service requests and (ii) mapping a VNet to the physical infrastructure separately. (For example, [9,10] offer solutions for survivable VNet embedding, but consider that the VNet is already designed and given.) Work on optimal server selection and routing of anycast services in the physical layer for intra-and inter-DC networks [11,12] do not consider resilient network design in the virtual layer.…”

Section: Related Workmentioning

confidence: 99%

Anycast end-to-end resilience for cloud services over virtual optical networks

Bùi

Jaumard

Develder

2013

2013 15th International Conference on Transparent Optical Networks (ICTON)

View full text Add to dashboard Cite

Optical networks are crucial to support increasingly demanding cloud services. Delivering the requested quality of service is key to successfully provisioning end-to-end services in clouds. Therefore, as for traditional optical network services, it is of utter importance to guarantee that clouds are resilient to any failure of either network infrastructure or data centers. A crucial concept in establishing cloud services is that of network virtualization: the physical infrastructure is logically partitioned in separate virtual networks. Also, combined control of the network and data center (IT) resources is exploited. To guarantee end-to-end resilience for cloud services in such a set-up, we need to simultaneously route the services and map the virtual network, while ensuring that an alternate routing is always available. Note that the anycast routing concept applies: assigning server resources requested by the customer to a particular (physical) data center can be done transparently. This paper investigates the design of scalable optimization models to perform the virtual network mapping resiliently (for single bidirectional link failures), thus supporting resilient anycast cloud virtual networks. We compare two resilience approaches: PIP-resilience maps each virtual link to two alternate physical routes, VNO-resilience provides alternate paths in the virtual topology (while enforcing physical link disjointness).

show abstract

Survivable Virtual Infrastructure Mapping in a Federated Computing and Networking System under Single Regional Failures

Cited by 82 publications

References 8 publications

Reliable design for virtual network requests with location constraints in edge-of-things computing

Reliable design for virtual network requests with location constraints in edge-of-things computing

Resilience options for provisioning anycast cloud services with virtual optical networks

Anycast end-to-end resilience for cloud services over virtual optical networks

Contact Info

Product

Resources

About