The Experts below are selected from a list of 9801 Experts worldwide ranked by ideXlab platform
Biswanath Mukherjee - One of the best experts on this subject based on the ideXlab platform.
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Optimal Network Function Virtualization realizing end-to-end requests
2015 IEEE Global Communications Conference GLOBECOM 2015, 2015Co-Authors: Tachun Lin, Zhili Zhou, Massimo Tornatore, Biswanath MukherjeeAbstract:Network Function Virtualization provides a new Network resource utilization approach which decouples Network Functions from proprietary hardware and enables adaptive services to end-user requests. In this paper, we present a joint design which optimally deploys Network Functions and allocates physical resources satisfying end-to-end requests with generated routes. We first discuss the problem behind such design and show its NP-completeness. We then propose a mixed-integer program which simultaneously identifies physical nodes to be deployed with Network Functions and generates routes sharing common physical resources realizing end-to-end requests. Computational results demonstrate the value of the integrated approach and its ability to allocate Network Functions supporting end-to-end requests with limited physical resources.
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GLOBECOM - Optimal Network Function Virtualization Realizing End-to-End Requests
2015 IEEE Global Communications Conference (GLOBECOM), 2015Co-Authors: Tachun Lin, Zhili Zhou, Massimo Tornatore, Biswanath MukherjeeAbstract:Network Function Virtualization provides a new Network resource utilization approach which decouples Network Functions from proprietary hardware and enables adaptive services to end-user requests. In this paper, we present a joint design which optimally deploys Network Functions and allocates physical resources satisfying end-to-end requests with generated routes. We first discuss the problem behind such design and show its NP-completeness. We then propose a mixed-integer program which simultaneously identifies physical nodes to be deployed with Network Functions and generates routes sharing common physical resources realizing end-to-end requests. Computational results demonstrate the value of the integrated approach and its ability to allocate Network Functions supporting end-to-end requests with limited physical resources.
Attila Takács - One of the best experts on this subject based on the ideXlab platform.
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Optical service chaining for Network Function Virtualization
IEEE Communications Magazine, 2015Co-Authors: Ming Xia, Meral Shirazipour, Howard Green, Ying Zhang, Attila TakácsAbstract:This article presents an efficient optical service chaining architecture for Network Function Virtualization in data centers. Service chaining (i.e., steering traffic through a sequence of Network Functions) is one emerging application of software-defined Networking. However, existing schemes steer traffic solely in the packet domain, which is well suited for fine-grained (e.g., peruser level) flows carrying a relatively small volume of traffic. This article discusses how packet-based schemes do not yield sufficient efficiency for large/aggregated flows steered through high-capacity core Network Functions. It introduces an optical steering domain into the operator's data centers for NFV service chaining at a coarse-grained traffic level using wavelength switching. Performance evaluation shows that the optical steering domain can achieve significant power savings compared to using packet technologies as flow rates and the number of vNFs per service chain grow.
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ONS - {SDN} and Optical Flow Steering for Network Function Virtualization
2014Co-Authors: Ming Xia, Meral Shirazipour, Howard Green, Ying Zhang, Attila TakácsAbstract:Introduction Middlebox traffic steering, the capability of routing traffic through different sequences of middleboxes, has been a popular application in software-define Networks (SDN) [5]. In this work, we focus on Network Function Virtualization (NFV) [2][3], especially on core virtualized Network Functions that process high-volume traffic, such as session border controllers (SBCs) and serving/gateway GPRS support node (SGSN/GGSN). While these core Network Functions (NFs) run in a virtualized environment in a data center/cloud instead of dedicated hardware, their locations are more dynamic and thus there is a strong need to steer traffic through them dynamically. Similar to [5], traffic will need to be routed across various intermediate NFs before reaching its destination, e.g. at the customer PE. This process is called traffic steering for NFV. Different from traditional middleboxes, the core NFs handle much higher volumes of traffic, and usually don't have the same fine-grained traffic steering requirements that normal middleboxes do. Thus, we argue that existing Layer2/Layer3 packet based traffic steering will have scalability issue for large traffic volume, and may also be associated with high energy cost.
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sdn and optical flow steering for Network Function Virtualization
Open Networking Summit 2014 ( ONS 2014), 2014Co-Authors: Ming Xia, Meral Shirazipour, Howard Green, Ying Zhang, Attila TakácsAbstract:Introduction Middlebox traffic steering, the capability of routing traffic through different sequences of middleboxes, has been a popular application in software-define Networks (SDN) [5]. In this work, we focus on Network Function Virtualization (NFV) [2][3], especially on core virtualized Network Functions that process high-volume traffic, such as session border controllers (SBCs) and serving/gateway GPRS support node (SGSN/GGSN). While these core Network Functions (NFs) run in a virtualized environment in a data center/cloud instead of dedicated hardware, their locations are more dynamic and thus there is a strong need to steer traffic through them dynamically. Similar to [5], traffic will need to be routed across various intermediate NFs before reaching its destination, e.g. at the customer PE. This process is called traffic steering for NFV. Different from traditional middleboxes, the core NFs handle much higher volumes of traffic, and usually don't have the same fine-grained traffic steering requirements that normal middleboxes do. Thus, we argue that existing Layer2/Layer3 packet based traffic steering will have scalability issue for large traffic volume, and may also be associated with high energy cost.
Tachun Lin - One of the best experts on this subject based on the ideXlab platform.
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Robust Network Function Virtualization
arXiv: Networking and Internet Architecture, 2019Co-Authors: Tachun Lin, Zhili ZhouAbstract:Network Function Virtualization (NFV) enables on-demand Network Function (NF) deployment providing agile and dynamic Network services. Through an evaluation metric that quantifies the minimal reliability among all NFs for all demands, service providers and operators may better facilitate flexible NF service recovery and migration, thus offer higher service reliability. In this paper, we present evaluation metrics on NFV reliability and solution approaches to solve robust NFV under random NF-enabled node failure(s). We demonstrate how to construct an auxiliary NF-enabled Network and its mapping onto the physical substrate Network. With constructed NF-enabled Network, we develop pseudo-polynomial algorithms to solve the robust NF and SFC $s-t$ path problems -- subproblems of robust NFV. We also present approximation algorithms for robust NFV with the SFC-Fork as the NF forwarding graph. Furthermore, we propose exact solution approaches via mixed-integer linear programming (MILP) under the general setting. Computational results show that our proposed solution approaches are capable of managing robust NFV in a large-size Network.
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Optimal Network Function Virtualization realizing end-to-end requests
2015 IEEE Global Communications Conference GLOBECOM 2015, 2015Co-Authors: Tachun Lin, Zhili Zhou, Massimo Tornatore, Biswanath MukherjeeAbstract:Network Function Virtualization provides a new Network resource utilization approach which decouples Network Functions from proprietary hardware and enables adaptive services to end-user requests. In this paper, we present a joint design which optimally deploys Network Functions and allocates physical resources satisfying end-to-end requests with generated routes. We first discuss the problem behind such design and show its NP-completeness. We then propose a mixed-integer program which simultaneously identifies physical nodes to be deployed with Network Functions and generates routes sharing common physical resources realizing end-to-end requests. Computational results demonstrate the value of the integrated approach and its ability to allocate Network Functions supporting end-to-end requests with limited physical resources.
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GLOBECOM - Optimal Network Function Virtualization Realizing End-to-End Requests
2015 IEEE Global Communications Conference (GLOBECOM), 2015Co-Authors: Tachun Lin, Zhili Zhou, Massimo Tornatore, Biswanath MukherjeeAbstract:Network Function Virtualization provides a new Network resource utilization approach which decouples Network Functions from proprietary hardware and enables adaptive services to end-user requests. In this paper, we present a joint design which optimally deploys Network Functions and allocates physical resources satisfying end-to-end requests with generated routes. We first discuss the problem behind such design and show its NP-completeness. We then propose a mixed-integer program which simultaneously identifies physical nodes to be deployed with Network Functions and generates routes sharing common physical resources realizing end-to-end requests. Computational results demonstrate the value of the integrated approach and its ability to allocate Network Functions supporting end-to-end requests with limited physical resources.
Diego Lopez - One of the best experts on this subject based on the ideXlab platform.
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Reducing Service Creation Time Leveraging on Network Function Virtualization
IEEE Access, 2020Co-Authors: Winnie Nakimuli, Jaime Garcia-reinoso, Borja Nogales, Ivan Vidal, Diogo Gomes, Diego LopezAbstract:Fifth-generation (5G) Networks are envisioned to simultaneously support several services with different connectivity requirements. In this respect, service creation time is a key performance indicator (KPI) for service providers when planning the migration to 5G. For example, the European 5G infrastructure public private partnership (5G-PPP) suggests to reduce this time from 90 hours to 90 minutes, in the different phases of the service creation time KPI identified by this organization. This reduction can be achieved by leveraging on 5G state-of-the-art technologies: Network Function Virtualization, Network slicing, software-defined Networking, and cloud computing, among others. Although some authors and projects have already studied the service creation time KPI in 5G, there is no literature that comprehensively analyzes and presents results related to each phase of this KPI. In this article, we explore the potential of Network Function Virtualization technologies to reduce service creation time. To this end, we investigate the various phases of the service creation time KPI by designing and implementing, a realistic as well as complex Network service that leverages on Network Function Virtualization and related technologies. For our use case, we chose a content delivery Network service specifically designed to distribute video. This decision was based on an analysis where we considered several parameters, like the complexity in the phases of design, fulfillment, and service assurance. We dissected all phases of the service creation time KPI required to turn our service blueprint into a deployment by utilizing Network Function Virtualization tools. Henceforth, we defined and conducted several experiments, which were oriented to analyzing the different phases of the service creation time KPI. After analyzing the obtained results, we can conclude that using these new tools permits a substantial reduction in the time taken by each phase of the service creation time KPI.
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Transport Network Function Virtualization
Journal of Lightwave Technology, 2015Co-Authors: Ricard Vilalta, Victor Lopez, Arturo Mayoral, Ramon Casellas, Ricardo Martínez, Raül Muñoz, Diego LopezAbstract:In this paper, we present a Network Function Virtualization (NFV) architecture to deploy different virtualized Network Functions (VNF) on an optical transport Network. NFV concepts do not only apply to data plane Functions (i.e., packet processing or forwarding), but also to control plane Functions, such as path computation. First, we focus on the IT and Network resources that are virtualized to provide the required VNFs. Second, we provide an example of VNF on top of the virtualized infrastructure, by proposing a path computation element (PCE) architecture to deploy a PCE by means of NFV. The instances of the virtualized PCE are deployed on demand, but they are perceived as a single-Network element. We present the benefits of such approach by providing experimental validation.
Ming Xia - One of the best experts on this subject based on the ideXlab platform.
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Optical service chaining for Network Function Virtualization
IEEE Communications Magazine, 2015Co-Authors: Ming Xia, Meral Shirazipour, Howard Green, Ying Zhang, Attila TakácsAbstract:This article presents an efficient optical service chaining architecture for Network Function Virtualization in data centers. Service chaining (i.e., steering traffic through a sequence of Network Functions) is one emerging application of software-defined Networking. However, existing schemes steer traffic solely in the packet domain, which is well suited for fine-grained (e.g., peruser level) flows carrying a relatively small volume of traffic. This article discusses how packet-based schemes do not yield sufficient efficiency for large/aggregated flows steered through high-capacity core Network Functions. It introduces an optical steering domain into the operator's data centers for NFV service chaining at a coarse-grained traffic level using wavelength switching. Performance evaluation shows that the optical steering domain can achieve significant power savings compared to using packet technologies as flow rates and the number of vNFs per service chain grow.
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ONS - {SDN} and Optical Flow Steering for Network Function Virtualization
2014Co-Authors: Ming Xia, Meral Shirazipour, Howard Green, Ying Zhang, Attila TakácsAbstract:Introduction Middlebox traffic steering, the capability of routing traffic through different sequences of middleboxes, has been a popular application in software-define Networks (SDN) [5]. In this work, we focus on Network Function Virtualization (NFV) [2][3], especially on core virtualized Network Functions that process high-volume traffic, such as session border controllers (SBCs) and serving/gateway GPRS support node (SGSN/GGSN). While these core Network Functions (NFs) run in a virtualized environment in a data center/cloud instead of dedicated hardware, their locations are more dynamic and thus there is a strong need to steer traffic through them dynamically. Similar to [5], traffic will need to be routed across various intermediate NFs before reaching its destination, e.g. at the customer PE. This process is called traffic steering for NFV. Different from traditional middleboxes, the core NFs handle much higher volumes of traffic, and usually don't have the same fine-grained traffic steering requirements that normal middleboxes do. Thus, we argue that existing Layer2/Layer3 packet based traffic steering will have scalability issue for large traffic volume, and may also be associated with high energy cost.
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sdn and optical flow steering for Network Function Virtualization
Open Networking Summit 2014 ( ONS 2014), 2014Co-Authors: Ming Xia, Meral Shirazipour, Howard Green, Ying Zhang, Attila TakácsAbstract:Introduction Middlebox traffic steering, the capability of routing traffic through different sequences of middleboxes, has been a popular application in software-define Networks (SDN) [5]. In this work, we focus on Network Function Virtualization (NFV) [2][3], especially on core virtualized Network Functions that process high-volume traffic, such as session border controllers (SBCs) and serving/gateway GPRS support node (SGSN/GGSN). While these core Network Functions (NFs) run in a virtualized environment in a data center/cloud instead of dedicated hardware, their locations are more dynamic and thus there is a strong need to steer traffic through them dynamically. Similar to [5], traffic will need to be routed across various intermediate NFs before reaching its destination, e.g. at the customer PE. This process is called traffic steering for NFV. Different from traditional middleboxes, the core NFs handle much higher volumes of traffic, and usually don't have the same fine-grained traffic steering requirements that normal middleboxes do. Thus, we argue that existing Layer2/Layer3 packet based traffic steering will have scalability issue for large traffic volume, and may also be associated with high energy cost.