Demo: Software-Defined Network Service Chaining

Blendin, Jeremias; Rückert, Julius; Leymann, Nicolai; Schyguda, Georg; Hausheer, David

doi:10.1109/ewsdn.2014.15

Cited by 14 publications

(7 citation statements)

References 3 publications

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“…Recently, several research initiatives have worked towards combining SDN and NFV through Intel's DPDK, a set of libraries and drivers that facilitates the development of network-intensive applications and allows the implementation of fine-grained network functions [544]. Early work towards service chaining have been proposed by combining SDN and NFV technologies [545], [546], [547], [27], [548], and studies around the ForCES's [30] applicability to SDN-enhanced NFV have also come to light [538]. These are some of the early examples of the opportunities SDNs seem to bring to telecom and cloud providers.…”

Section: H Meeting Carrier-grade and Cloud Requirementsmentioning

confidence: 99%

Software-Defined Networking: A Comprehensive Survey

et al. 2015

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Abstract-The Internet has led to the creation of a digital society, where (almost) everything is connected and is accessible from anywhere. However, despite their widespread adoption, traditional IP networks are complex and very hard to manage. It is both difficult to configure the network according to predefined policies, and to reconfigure it to respond to faults, load and changes. To make matters even more difficult, current networks are also vertically integrated: the control and data planes are bundled together. Software-Defined Networking (SDN) is an emerging paradigm that promises to change this state of affairs, by breaking vertical integration, separating the network's control logic from the underlying routers and switches, promoting (logical) centralization of network control, and introducing the ability to program the network. The separation of concerns introduced between the definition of network policies, their implementation in switching hardware, and the forwarding of traffic, is key to the desired flexibility: by breaking the network control problem into tractable pieces, SDN makes it easier to create and introduce new abstractions in networking, simplifying network management and facilitating network evolution.In this paper we present a comprehensive survey on SDN. We start by introducing the motivation for SDN, explain its main concepts and how it differs from traditional networking, its roots, and the standardization activities regarding this novel paradigm. Next, we present the key building blocks of an SDN infrastructure using a bottom-up, layered approach. We provide an in-depth analysis of the hardware infrastructure, southbound and northbound APIs, network virtualization layers, network operating systems (SDN controllers), network programming languages, and network applications. We also look at cross-layer problems such as debugging and troubleshooting. In an effort to anticipate the future evolution of this new paradigm, we discuss the main ongoing research efforts and challenges of SDN. In particular, we address the design of switches and control platforms -with a focus on aspects such as resiliency, scalability, performance, security and dependability -as well as new opportunities for carrier transport networks and cloud providers. Last but not least, we analyze the position of SDN as a key enabler of a software-defined environment.

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Section: H Meeting Carrier-grade and Cloud Requirementsmentioning

confidence: 99%

Software-Defined Networking: A Comprehensive Survey

et al. 2015

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“…Based on this component, metrics for resource efficiency in A-SDN will be derived and studied. Furthermore, an OpenFlow component for integrating virtualized network functions based on [19] will be designed.…”

Section: Preliminary Conclusion and Future Workmentioning

confidence: 99%

Towards Resource-Efficient Application-Controlled Software Defined Networks

Blendin

Hausheer

2014

2014 IEEE 22nd International Conference on Network Protocols

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Network management systems (NMS) need to support a wide range of application requirements while ensuring an efficient use of networking resources. Application control of Software Defined Networking (SDN) promises to drastically reduce OPEX and increase flexibility of NMS by automatically translating application requirements into network policies and subsequently into network behavior. The current research in this area focuses mainly on top-down approaches aiming at expressiveness, generality, and control plane resource efficiency. However, the expressive power and flexibility of OpenFlow, a widely used SDN implementation, comes at the cost of high complexity when high-level policies are automatically translated into OpenFlow rules, which can lead to an inefficient use of data plane resources. To counter this problem, this paper proposes a bottom-up approach to application-controlled SDN which aims to leverage scenario-and application-specific information for optimization. Thereby, the proposed approach is able to satisfy diverse application requirements and use the available data plane resources more efficiently than comparable approaches.

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“…StEERING could create finegrained service chains even per user or per flow, and employs multi-level flow table to resolve entity inflation. Literature [27] demonstrates the feasibility of dynamic network service chaining using SDN/NFV in a telecom environment. Although the existing techniques are promising to chaining network-wide services, it cannot be directly applied by us since RECON focuses on chaining functions in an internal network node.…”

Section: Related Workmentioning

confidence: 99%

Towards Adaptive Network Nodes via Service Chain Construction

Cheng

Chen

Wang

et al. 2015

IEEE Trans. Netw. Serv. Manage.

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Network functional combination is a promising direction in enhancing Internet adaptability. It decomposes the current layered network into fine-grained building blocks and combines them on demand. However, what legacy functions should be decomposed and how to combine them in an optimal way are unclear. We propose a novel adaptive architecture called reconstructive network architecture (RECON) based on the principles of the Complex Adaptive System. This study has three main contributions. First, RECON decomposes functions of the protocol stack at layers 3 and 4 into fine-grained building blocks, called atomic capabilities to open the network core functions unlike existing solutions. Second, RECON can customize different service chains on demand by combining atomic capabilities in an optimal way. We formulate the atomic capability combination into a nonlinear integer optimization problem with the proposed algorithm to reach an appropriate tradeoff between the optimal solution and computation cost. Finally, we implement a proof-of-concept for RECON in the network node. Results are corroborated by several numerical simulations.Index Terms-Network architecture, function management, reconstructive network, network adaptability, functional combination. 1932-4537

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Demo: Software-Defined Network Service Chaining

Cited by 14 publications

References 3 publications

Software-Defined Networking: A Comprehensive Survey

Software-Defined Networking: A Comprehensive Survey

Towards Resource-Efficient Application-Controlled Software Defined Networks

Towards Adaptive Network Nodes via Service Chain Construction

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