B4

Jain, Shailendra Pratap; Kumar, Alok; Mandal, Subhasree; Ong, Joon; Poutievski, Leon; Singh, Arjun; Venkata, Subbaiah; Wanderer, Jim; Zhou, Junlan; Zhu, Min; Zolla, Jon; Hölzle, Urs; Stuart, Stephen; Vahdat, Amin

doi:10.1145/2534169.2486019

Cited by 863 publications

(85 citation statements)

References 26 publications

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“…In (12) authors present SWAN that enables an efficient and flexible inter-DC (datacenter) WAN by coordinating the sending rates of services and centrally configuring the network data plane by focusing on updates of a network policy without causing transient congestion (12). In (13) authors present B4 that is a private WAN connecting Google data centers across the planet. This has a number of unique characteristics such as massive bandwidth requirements, elastic traffic demand and full control over the edge servers and network.…”

Section: Review Of Related Approachesmentioning

confidence: 99%

Virtual machine cluster mobility in inter-cloud platforms

Sotiriadis

Bessis

Petrakis

et al. 2017

Future Generation Computer Systems

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Modern cloud computing applications developed from different interoperable services that are interfacing with each other in a loose coupling approach. This work proposes the concept of the Virtual Machine (VM) cluster migration, meaning that services could be migrated to various clouds based on different constraints such as computational resources and better economical offerings. Since cloud services are instantiated as VMs, an application can be seen as a cluster of VMs that integrate its functionality. We focus on the VM cluster migration by exploring a more sophisticated method with regards to VM network configurations. In particular, networks are hard to managed because their internal setup is changed after a migration, and this is related with the configuration parameters during the re-instantiation to the new cloud platform. To address such issue, we introduce a Software Defined Networking (SDN) service that breaks the problem of network configuration into tractable pieces and involves virtual bridges instead of references to static endpoints. The architecture is modular, it is based on the SDN OpenFlow protocol and allows VMs to be paired in cluster groups that communicate with each other independently of the cloud platform that are deployed. The experimental analysis demonstrates migrations of VM clusters and provides a detailed discussion of service performance for different cases.

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Section: Review Of Related Approachesmentioning

confidence: 99%

Virtual machine cluster mobility in inter-cloud platforms

Sotiriadis

Bessis

Petrakis

et al. 2017

Future Generation Computer Systems

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“…Jain et al [35] relate experience with the use of fault tolerant approaches to address network outages and failures with B 4 , a private WAN that connects the Google's data center. They used OpenFlow to manage individual switches that implement several fault tolerance tasks, such as multipath routing regarding flow priority and dynamic reallocation of bandwidth when link failures occur.…”

Section: Fault Tolerance and Survivabilitymentioning

confidence: 99%

“…Since it shares similarity with the classic facility location optimization problem [160], several proposed solutions use a graph representations of the network topology to determine the optimal placement of network controllers [47,49]. Also, solutions based on hardware and software redundancy have been widely investigated [35]. This is due to the fact that SDN offers a flexible architecture to manage redundant devices [30].…”

Section: Summary Of Challenges and Current Solutionsmentioning

confidence: 99%

Resilience support in software-defined networking: A survey

et al. 2015

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Software-Defined Networking (SDN) is an architecture for computer networking that provides a clear separation between network control functions and forwarding operations. The abstractions supported by this architecture are intended to simplify the implementation of several tasks that are critical to network operation, such as routing and network management. Computer networks have an increasingly important societal role, requiring them to be resilient to a range of challenges. Previously, research into network resilience has focused on the mitigation of several types of challenges, such as natural disasters and attacks. Capitalising on its benefits, including increased programmability and a clearer separation of concerns, significant attention has recently focused on the development of resilience mechanisms that use software-defined networking approaches. In this article, we present a survey that provides a structured overview of the resilience support that currently exists in this important area. We categorize the most recent research on this topic with respect to a number of resilience disciplines. Additionally, we discuss the lessons learned from this investigation, highlight the main challenges faced by SDNs moving forward, and outline the research trends in terms of solutions to mitigate these challenges . 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 This article presents a survey on the support for network resilience in SoftwareDefined Networking (SDN). This has been the subject of intense investigation by the academic and industrial community in the past few years, as evidenced by the number of papers included in our survey (159 references in total). Capitalizing on the benefits of SDN, including increased programmability and a clearer separation of concerns, significant attention has recently focused on the development of resilience mechanisms that use software-defined networking approaches. Thus, a wide range of solutions to classical network problems have been revisited using this architecture, but many problems continue to be challenging.Our survey investigates the resilience support that currently exists in this important area, and categorizes the most recent research on this topic with respect to a number of resilience disciplines. Additionally, we discuss the lessons learned from this investigation, highlight the main challenges faced by SDNs moving forward, and outline the research trends in terms of solutions to mitigate these challenges. The aim of the survey is to offer to the reader a structured view of network resilience in the SDN spectrum, and how resilience aspects are supported in these architectures.We believe that this subject material is closely aligned with the objectives of the journal. Please be assured that:1. This paper has not been published or accepted for publication w...

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“…As a result, SDN forwarding elements, in the following simply referred to as switches, can become simpler and cheaper than traditional routers, and network configuration and management is significantly simplified [4,5,7,9].…”

Section: Introductionmentioning

confidence: 99%

Efficient topology discovery in OpenFlow-based Software Defined Networks

Pakzad

Portmann

Tan

et al. 2016

Computer Communications

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Software Defined Networking (SDN) is a new networking paradigm, with a great potential to increase network efficiency, ease the complexity of network control and management, and accelerate the rate of technology innovation. One of the core concepts of SDN is the separation of the network's control and data plane. The intelligence and the control of the network operation and management, such as routing, is removed from the forwarding elements (switches) and is concentrated in a logically centralised component, i.e. the SDN controller. In order for the controller to configure and manage the network, it needs to have up-to-date information about the state of the network, in particular its topology. Consequently, topology discovery is a critical component of any Software Defined Network architecture. In this paper, we evaluate the efficiency of the de facto standard approach to topology discovery currently implemented by the major SDN controller frameworks, and propose simple and practical modifications, which achieve a significantly improved efficiency and reduced control overhead. We have implemented our new topology discovery approach on the widely used POX controller platform, and have evaluated it for a range of network topologies via experiments using the Mininet network emulator as well as a specific topology in the OFELIA SDN testbed. Our results show that our proposed modifications achieve an up to 40% reduction in controller load compared to the current state-of-the-art approach, while delivering identical discovery functionality.

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B4

Cited by 863 publications

References 26 publications

Virtual machine cluster mobility in inter-cloud platforms

Virtual machine cluster mobility in inter-cloud platforms

Resilience support in software-defined networking: A survey

Efficient topology discovery in OpenFlow-based Software Defined Networks

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