End-to-end service orchestration across SDN and cloud computing domains

Bonafiglia, Roberto; Castellano, Gabriele; Cerrato, Ivano; Risso, Fulvio

doi:10.1109/netsoft.2017.8004234

Cited by 12 publications

(11 citation statements)

References 3 publications

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“…However, our experience shows that also the above applications can be ported to the proposed software architecture by using a mixture of bash scripting, monitoring of in‐kernel structures, and writing the equivalent of a wrapper ToY agent that implements the required northbound interface. For instance, in Bonafiglia et al, an iptables‐based VM was integrated within the overarching software architecture presented in this paper. In this respect, it is worth noticing that the mapping algorithms presented in Section have been used also in this case to provide the state inspection capabilities to traditional applications as well.…”

Section: Discussionmentioning

confidence: 99%

A model‐based abstraction layer for heterogeneous SDN applications

Castellano

Cerrato

Gharbaoui

et al. 2019

Int J Communication

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Modern controllers for software-defined networks (SDN) enable the execution of arbitrary SDN applications (eg, Network Address Translation (NAT), traffic monitors) that may be exploited by an overarching set of services (eg, application-layer orchestrators) to build even richer services. To this purpose, the above overarching services require a mechanism that allows reading the run-time state and writing the configuration of arbitrary SDN applications, possibly through a uniform API. Unfortunately, most SDN applications are not designed/implemented by taking into account the possibility to be used as part of higher level service workflows (eg, a complex intrusion prevention system that leverages multiple elementary services as individual components), hence they may not provide an adequate interface that would allow overarching services to exploit their features. This paper addresses this problem by proposing an approach to represent the run-time state of arbitrary applications, where data are exported according to high-level model-based structures. Furthermore, the mapping from the high-level data model to the actual data representation within the SDN application is enabled by a suite of algorithms that are generic enough to operate independently of the actual source code of the application, thus avoiding undesired and invasive modifications to existing applications. The paper also presents a software framework and a prototype implementing the proposed approach, characterizes the resulting performance, and discusses pros and cons of the proposed approach. KEYWORDS data modeling, network services, network orchestration, SDN, YANG INTRODUCTIONModern controllers for software-defined networking (SDN), such as open network operating system (ONOS) 1 and open daylight, 2 offer high-level programming abstractions that allow to develop software programs (ie, SDN applications, or SDNApps in this paper) to perform arbitrary network-related tasks going beyond forwarding, routing ,or topology discovery operations, such as application-based traffic monitoring, firewall, NAT, and deep packet inspection. This paradigm enables the creation of programmable network environments able to address the emerging communication requirements (eg, QoS, security) of modern application services (eg, Smart City, Cloud Robotics) operating on top of a distributed and Int J Commun Syst. 2019;32:e3989.wileyonlinelibrary.com/journal/dac

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Section: Discussionmentioning

confidence: 99%

A model‐based abstraction layer for heterogeneous SDN applications

Castellano

Cerrato

Gharbaoui

et al. 2019

Int J Communication

Self Cite

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“…Most orchestration technologies working across administrative domains use a broker to orchestrate resources at different levels within a provider (e.g. the cloud and the edge network) and across providers (see [37] for a recent example). Broker models across providers and multi-stage schedulers and optimisers have been quite common in distributed computing and networking since at least 20 years ago [114].…”

Section: Multi -Organisation/-tenant Orchestrationmentioning

confidence: 99%

“…Recently, Bila et al [32] propose a policy-based improvement in the serverless architecture to guarantying and rebuilding vulnerable containers, that can be included as part of the security orchestration. Containers might have built-in vulnerabilities [48] Brokered (multi-domain) hierarchical orchestration [82,132,131,116,79,37] Service support in orchestration decisions[*] [113] Developer support in orchestration decisions("device in the loop") [*] [128,44] Self-protection, self-healing, self-repair, DoS protection [Security] [176,135,167,32] Universal identity management [dynamism, churn, larger-scale, multi-tenancy, privacy] [29] because of wrong configurations or just by the fact of including executable binaries with security flaws. In [154], authors propose a Security-as-a-Service approach for microservices-based cloud applications, providing a flexible monitoring and policy enforcement infrastructure for network traffic to secure cloud applications.…”

Section: Security and Privacymentioning

confidence: 99%

Research challenges in nextgen service orchestration

Vaquero

Cuadrado

Elkhatib

et al. 2019

Future Generation Computer Systems

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Fog/edge computing, function as a service, and programmable infrastructures, like software-defined networking or network function virtualisation, are becoming ubiquitously used in modern Information Technology infrastructures. These technologies change the characteristics and capabilities of the underlying computational substrate where services run (e.g. higher volatility, scarcer computational power, or programmability). As a consequence, the nature of the services that can be run on them changes too (smaller codebases, more fragmented state, etc.). These changes bring new requirements for service orchestrators, which need to evolve so as to support new scenarios where a close interaction between service and infrastructure becomes essential to deliver a seamless user experience. Here, we present the challenges brought forward by this new breed of technologies and where current orchestration techniques stand with regards to the new challenges. We also present a set of promising technologies that can help tame this brave new world.

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“…Network function virtualization (NFV) brings flexibility of network functions to be configured, migrated or terminated in optical networks. End-to-end network service orchestration can deploy network services over multiple network domains [1,22]. In the perspective of optical hardware, hardwareprogrammable network functions have been developed to deliver node functions in an on-demand way [14].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Abstraction of Optical Networks with Machine Learning Technologies

Yan

Gao

Wang

et al. 2020

Optical Network Design and Modeling

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The emerging 5G network will bring a huge amount of network traffic with big variations to optical transport networks. Softwaredefined optical networks and network function virtualization contribute to the vision for future programmable, disaggregated, and dynamic optical networks. Future optical networks will be more dynamic in network functions and network services, with high-frequency network reconfigurations. Optical connections will last shorter than that of the static optical networks. It's straightforward that Programmable optical hardware will require a reduced link margin to improve the hardware utilization. To configure network dynamically, real-time network abstractions are required for both current links and available-for-deploy links. The former abstraction guarantees the established links not be interfered by the newly established link while the latter abstraction provides information for intelligent network planning. In this talk, we use machine-learning technologies to process the collected monitoring data in a field-trial testbed to abstract performances of multiple optical channels. Based on the abstract information, a new channel can be established with maximum performance and minimized interference on the current signals. We demonstrated the dynamic network abstraction over a 563.4-km field-trial testbed for 8 dynamic optical channels with 32 Gbaud Nyquist PM-16QAM signals. The work can be further extended to support complex optical networks.

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End-to-end service orchestration across SDN and cloud computing domains

Cited by 12 publications

References 3 publications

A model‐based abstraction layer for heterogeneous SDN applications

A model‐based abstraction layer for heterogeneous SDN applications

Research challenges in nextgen service orchestration

Dynamic Abstraction of Optical Networks with Machine Learning Technologies

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