TY - JOUR
T1 - Competitive and deterministic embeddings of virtual networks
AU - Even, Guy
AU - Medina, Moti
AU - Schaffrath, Gregor
AU - Schmid, Stefan
N1 - Funding Information: Part of this work was performed within the Virtu project, funded by NTT DoCoMo Euro Labs, and the Collaborative Networking project, funded by Deutsche Telekom AG. We would like to thank our colleagues in these projects for many fruitful discussions. We are grateful to Ernesto Abarca and Johannes Grassler for their help with the prototype architecture [31], and to Boaz Patt-Shamir for initial discussions.
PY - 2013/7/22
Y1 - 2013/7/22
N2 - Network virtualization is an important concept to overcome the ossification of today's Internet as it facilitates innovation also in the network core and as it promises a more efficient use of the given resources and infrastructure. Virtual networks (VNets) provide an abstraction of the physical network: multiple VNets may cohabit the same physical network, but can be based on completely different protocol stacks (also beyond IP). One of the main challenges in network virtualization is the efficient admission control and embedding of VNets. The demand for virtual networks (e.g., for a video conference) can be hard to predict, and once the request is accepted, the specification/QoS guarantees must be ensured throughout the VNet's lifetime. This requires an admission control algorithm which only selects high-benefit VNets in times of scarce resources, and an embedding algorithm which realizes the VNet in such a way that the likelihood that future requests can be embedded as well is maximized. This article describes a generic algorithm for the online VNet embedding problem which does not rely on any knowledge of the future VNet requests but whose performance is competitive to an optimal offline algorithm that has complete knowledge of the request sequence in advance: the so-called competitive ratio is, loosely speaking, logarithmic in the sum of the resources. Our algorithm is generic in the sense that it supports multiple traffic models, multiple routing models, and even allows for nonuniform benefits and durations of VNet requests.
AB - Network virtualization is an important concept to overcome the ossification of today's Internet as it facilitates innovation also in the network core and as it promises a more efficient use of the given resources and infrastructure. Virtual networks (VNets) provide an abstraction of the physical network: multiple VNets may cohabit the same physical network, but can be based on completely different protocol stacks (also beyond IP). One of the main challenges in network virtualization is the efficient admission control and embedding of VNets. The demand for virtual networks (e.g., for a video conference) can be hard to predict, and once the request is accepted, the specification/QoS guarantees must be ensured throughout the VNet's lifetime. This requires an admission control algorithm which only selects high-benefit VNets in times of scarce resources, and an embedding algorithm which realizes the VNet in such a way that the likelihood that future requests can be embedded as well is maximized. This article describes a generic algorithm for the online VNet embedding problem which does not rely on any knowledge of the future VNet requests but whose performance is competitive to an optimal offline algorithm that has complete knowledge of the request sequence in advance: the so-called competitive ratio is, loosely speaking, logarithmic in the sum of the resources. Our algorithm is generic in the sense that it supports multiple traffic models, multiple routing models, and even allows for nonuniform benefits and durations of VNet requests.
KW - Linear programming
KW - Network virtualization
KW - Online algorithms
KW - Primal-dual approach
UR - http://www.scopus.com/inward/record.url?scp=84881123157&partnerID=8YFLogxK
U2 - https://doi.org/10.1016/j.tcs.2012.10.036
DO - https://doi.org/10.1016/j.tcs.2012.10.036
M3 - مقالة
SN - 0304-3975
VL - 496
SP - 184
EP - 194
JO - Theoretical Computer Science
JF - Theoretical Computer Science
ER -