Service oriented networking

Griffin, David; Rio, Miguel; Simoens, Pieter; Smet, Piet; Vandeputte, Frederik; Vermoesen, Luc; Bursztynowski, Dariusz; Schamel, Folker

doi:10.1109/eucnc.2014.6882684

Cited by 13 publications

(13 citation statements)

References 11 publications

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“…Information-centric networking (ICN) solutions have been proposed to convert networks into inherent content delivery systems [14]. Similarly, service-centric networking (SCN) 2 [11,4,13,22,19] extends ICN principles to apply to services as well as content. Both ICN and SCN attempt to break away from statically binding to specific network resources.…”

Section: X-centric Approachesmentioning

confidence: 99%

Charting an intent driven network

Elkhatib

Coulson

Tyson

2017

2017 13th International Conference on Network and Service Management (CNSM)

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The current strong divide between applications and the network control plane is desirable for many reasons; but a downside is that the network is kept in the dark regarding the ultimate purposes and intentions of applications and, as a result, is unable to optimize for these. An alternative approach, explored in this paper, is for applications to declare to the network their abstract intents and assumptions; e.g. "this is a Tweet", or "this application will run within a local domain". Such an enriched semantic has the potential to enable the network better to fulfill application intent, while also helping optimize network resource usage across applications. We refer to this approach as intent driven networking (IDN), and we sketch an incrementally-deployable design to serve as a stepping stone towards a practical realization of the IDN concept within today's Internet.

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Section: X-centric Approachesmentioning

confidence: 99%

Charting an intent driven network

Elkhatib

Coulson

Tyson

2017

2017 13th International Conference on Network and Service Management (CNSM)

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“…We refer the reader to [11] for a more in-depth discussion on the motivation and structure of the FUSION architecture. In the remainder of this section, we briefly describe two architectural aspects relevant to the scope of the current paper.…”

Section: Architecturementioning

confidence: 99%

“…In the context of the FP7 FUSION project [11], we investigate how service-request resolution capabilities can be natively embedded in the network to address these challenges. In this paper, we present the necessary key concepts to realize flexible re-use and selection of service components for composite services.…”

Section: Introductionmentioning

confidence: 99%

Challenges for orchestration and instance selection of composite services in distributed edge clouds

Simoens

Herzeele

Vandeputte³

et al. 2015

2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)

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Abstract-Today's centralized cloud-computing infrastructures have not been designed with geo-localized, personalized, bandwidth/processing-intensive, real-time applications in mind. High network delay and low throughput can have a significant impact on the user experience. Instead, such services could be deployed in distributed service nodes at the edge of the network, closer to the user. In this paper we focus on composite services of which the components are running in different service nodes. We present a two-layer framework that provides service orchestration and instance selection. We present the orchestration mechanisms to enable the flexible re-use of components across different composite services. For the resolution layer of our framework, we present two modes of operation that combine network and service availability information for efficient per-request instance selection among a multitude of service replicas.

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“…Once a specific service instance in a specific EZ (managed by a zone manager) has been selected for the user request, data plane communications take place in the data forwarding plane depicted by "IP Routing" in the lower layer of Figure 1. We refer the reader to [7] for a more detailed description of the architecture.…”

Section: Fusion Architecturementioning

confidence: 99%

“…Specifically, we further study the concept of an evaluator service introduced in [7] in more detail for efficiently and flexibly coping with application requirements and resource constraints in such complex environment. Basically, a evaluator service is an active service probe that is (deployed and) triggered prior to service deployment, and that evaluates a particular (virtual) runtime environment by generating a score, comprising all application-specific functional tests and trade-offs.…”

Section: Introductionmentioning

confidence: 99%

Evaluator services for optimised service placement in distributed heterogeneous cloud infrastructures

Vandeputte¹,

Vermoesen²,

Griffin

et al. 2015

2015 European Conference on Networks and Communications (EuCNC)

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Abstract-Optimal placement of demanding real-time interactive applications in a distributed heterogeneous cloud very quickly results in a complex tradeoff between the application constraints and resource capabilities. This requires very detailed information of the various requirements and capabilities of the applications and available resources. In this paper, we present a mathematical model for the service optimization problem and study the concept of evaluator services as a flexible and efficient solution for this complex problem. An evaluator service is a service probe that is deployed in particular runtime environments to assess the feasibility and cost-effectiveness of deploying a specific application in such environment. We discuss how this concept can be incorporated in a general framework such as the FUSION architecture and discuss the key benefits and tradeoffs for doing evaluator-based optimal service placement in widely distributed heterogeneous cloud environments.

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Service oriented networking

Cited by 13 publications

References 11 publications

Charting an intent driven network

Charting an intent driven network

Challenges for orchestration and instance selection of composite services in distributed edge clouds

Evaluator services for optimised service placement in distributed heterogeneous cloud infrastructures

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