Build to Tenants’ Requirements: On-Demand Application-Driven vSD-EON Slicing

Zhu, Zuqing; Kong, Bingxin; Yin, Jun; Zhao, Sicheng; Li, Shengru

doi:10.1364/jocn.10.00a206

Cited by 34 publications

(6 citation statements)

References 29 publications

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“…This optimality can be accomplished from different perspectives: ranging from QoS [26][27], economical targets [28] to survivability over energyefficiency [ 29][30][31][32] [33]. I n t he s pecific context of flexi-grid o ptical n etworks, t he a uthors i n [ 34] addressed the problem of deploying virtual networks (i.e., tenants) on top of an elastic optical network to be used for inter-connecting a myriad of remote DCs. Moreover in [35], the authors demonstrated a solution for orchestrating both cloud and network resources for inter-connecting multiple DCs over a packet and optical transport infrastructure.…”

Section: B Resource Allocation In Multi-dc Infrastructuresmentioning

confidence: 99%

Latency-Aware Resource Orchestration in SDN-Based Packet Over Optical Flexi-Grid Transport Networks

Fichera¹,

Martínez

Martini

et al. 2019

J. Opt. Commun. Netw.

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In the upcoming 5G networks and following the emerging Software Defined Network/Network Function Virtualization (SDN/NFV) paradigm, demanded services will be composed of a number of virtual network functions that may be spread across the whole transport infrastructure and allocated in distributed Data Centers (DCs). These services will impose stringent requirements such as bandwidth and end-to-end latency that the transport network will need to fulfill. In this paper, we present an orchestration system devised to select and allocate virtual resources in distributed DCs connected through a multi-layer (Packet over flexi-grid optical) network. Three different on-line orchestration algorithms are conceived to accommodate the incoming requests by satisfying computing, bandwidth and end-to-end latency constraints, setting up multi-layer connections. We addressed end-to-end latency requirements by considering both network (due to propagation delay) and processing delay components. The proposed algorithms have been extensively evaluated and assessed (via a number of figures of merit) through experimental tests carried out in a Packet over Optical Flexi-Grid Network available in the ADRENALINE testbed with emulated DCs connected to it.

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Section: B Resource Allocation In Multi-dc Infrastructuresmentioning

confidence: 99%

Latency-Aware Resource Orchestration in SDN-Based Packet Over Optical Flexi-Grid Transport Networks

Fichera¹,

Martínez

Martini

et al. 2019

J. Opt. Commun. Netw.

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“…In this regard, the SDN-based control layer is able to build on-demand QoS-aware restoration paths for the provisioned virtual slices. Similarly, and focusing also in generic optical networks, authors in [23] propose an SDN control schema to provide connectivity to virtual tenants across a shared EON with the goal of high availability in mind. Note that these works focus only on the control aspect of the network, hence, no orchestration solution is explored.…”

Section: B Orchestration and Control Architecturesmentioning

confidence: 99%

Orchestrating virtual slices in data centre infrastructures with optical DCN

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Agraz

Montero

et al. 2019

Optical Fiber Technology

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The emergence of new paradigms and services is pushing the limits of nowadays cloud infrastructures. It is a fact that current solutions lack in the flexibility and configurability to adapt to heterogeneous requirements coming from the applications/services to be supported over them. This results most of the time in severe underutilization of the underlying physical substrate. In light of this, newer approaches on resource provisioning and infrastructure management are needed. The Infrastructure as a Service (IaaS) paradigm is proposed as a solution to overcome these limitations. Thanks to IaaS, the physical infrastructure is partitioned onto virtual slices, encompassing heterogeneous resources (e.g. network, computing). Such a concept is expected to be harnessed by future data center (DC) infrastructures in order to cope efficiently with multitenancy as well as heterogeneous application requirements. However, current DC networks (DCNs) impose sever limitations onto traffic handling to fully exploit this vision. In light of this, optical technologies are seen as prime candidates for realizing the high performance network fabrics that future DC architectures will need. Under such an umbrella, it becomes primordial to develop specific provisioning solutions that account for the particularities of the optical medium, while providing the means to efficiently slice the DC infrastructure. With all of these in mind, in this article we present a solution for orchestrating and controlling virtual slices in a DC scenario with optical intra-DCN, with the scope of optimizing the underlying physical infrastructure utilization. The benefits of the presented solution are demonstrated against legacy architectures through exhaustive experiments and simulations.

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“…In a nutshell, these mechanisms address the optimal accommodation of virtual network demands from different perspectives, ranging from ensuring end-to-end QoS [9][10], economical targets [11], addressing survivability and energy-efficiency [12][14] [13], etc. Concerning flexi-grid optical networks, in [16], the problem of the interconnecting myriad of DCs by virtual networks on top of an elastic optical network has been tackled. Moreover, in [15], a combined orchestration process for both cloud and and network resources to interconnect multiple DCs over a packet and optical transport infrastructure has been proposed.…”

Section: Introductionmentioning

confidence: 99%

Experimental evaluation of dynamic resource orchestration in multi-layer (packet over flexi-grid optical) networks

et al. 2020

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In future 5G infrastructures, network services will be deployed through sets of Virtual Network Functions (VNFs) leveraging the advantages of both Software Defined Networking (SDN) and Network Function Virtualization (NFV). A network service is composed of an ordered sequence of VNFs, i.e., VNF Forwarding Graph (VNFFG), deployed across distributed data centers (DCs). Herein, we present a Cloud/Network Orchestrator which dynamically processes and accommodates VNFFG requests over a pool of DCs interconnected by a multilayer (packet/flexi-grid optical) transport network infrastructure. We propose two different cloud and network resource allocation algorithms aiming at: i) minimizing the distance between the selected DCs, and ii) minimizing the load (i.e., consumed cloud resources) of the chosen DCs. Both algorithms run on a Cloud/Network Orchestrator and are experimentally validated and benchmarked on the CTTC ADRENALINE testbed.

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Build to Tenants’ Requirements: On-Demand Application-Driven vSD-EON Slicing

Cited by 34 publications

References 29 publications

Latency-Aware Resource Orchestration in SDN-Based Packet Over Optical Flexi-Grid Transport Networks

Latency-Aware Resource Orchestration in SDN-Based Packet Over Optical Flexi-Grid Transport Networks

Orchestrating virtual slices in data centre infrastructures with optical DCN

Experimental evaluation of dynamic resource orchestration in multi-layer (packet over flexi-grid optical) networks

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