Towards a Modular Interactive Management approach for SDN Infrastructure orchestration

Gomes, Cirios S.; Silva, Felipe S. Dantas; Neto, Emídio P.; Costa, Kevin B.; Silva, João Batista da

doi:10.1109/nfv-sdn.2016.7919467

Cited by 7 publications

(5 citation statements)

References 16 publications

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“…The current state-of-the-art does not act as a preset for developing solutions designed to optimize controllers' internal optimization. Having this in mind, different types of control applications, which are those that reside in the Control Plane [1] (e.g., orchestrators [24], traffic control mechanisms [25] or load balancing [18]), that need constant access to network event data so that operating effectively, find that the optimization levels of algorithms and internal mechanisms of SDN controllers [26] have a direct influence on their levels of performance.…”

Section: Figure 1 Sdn Architecture Abstraction Detailed By the Main mentioning

confidence: 99%

“…For instance, a new method can lead to the development of particular functionalities (e.g., customized filters) that determine which data should be selected during network events and sent to remote or control applications (e.g., for topology management). These mechanisms should enable data to be delivered to network operators with a minimum degree of complexity to aid in processing and using the information in the infrastructure orchestration systems [24]. An example of the critical nature of such data can be seen in an Intrusion Detection System (IDS) application for mitigating a Distributed Denial of Service (DDoS) attack [27], where the retrieving time of network events is a crucial factor when adopting strategies to prevent any possible further attacks.…”

Section: Figure 1 Sdn Architecture Abstraction Detailed By the Main mentioning

confidence: 99%

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Enhancing Orchestration and Infrastructure Programmability in SDN With NOTORIETY

et al. 2020

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Software-Defined Networking (SDN) controllers are nowadays expected to manage large infrastructures and services in a practical, efficient, and optimized way. To achieve such control, SDN networks should increase the automation of orchestration functions to fullfil both service and network management lifecycles. However, network management applications have stringent resource demands that orchestrators need to honor. Most of the available orchestrators focus on high-level approaches that rely exclusively on the Northbound API (NB-API). A few strategies have also been designed to optimize the controllers' internal mechanisms through features enabled by the Southbound API (SB-API). However, such solutions do not focus on optimal information delivery to the orchestrator, a crucial property to provide prompt feedback in response to network events, and to potentially drive self-healing and autoscaling properties. To address such need, we present NOTORIETY, an orchestration system that provides an abstraction for real-time SDN network controller event message handling. NOTORIETY is able to maximize the orchestration capabilities of SDN controllers including innovative features for processing and delivering network event information. NOTORIETY's design consists of mechanisms that empower SDNcontrolled entities by applying filtering rules to efficiently control and optimize data flows provided by the SDN controller. We implemented a testbed to assess our NOTORIETY proposal following the guidelines provided in the RFC 8456, and we benchmark its performance over three SDN controllers (OpenDaylight, ONOS, and Floodlight). The evaluation results reveal the effectiveness of NOTORIETY in reducing the execution time of SDN requests, load processing, and overall data marshaling volume in several scenarios.

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Section: Figure 1 Sdn Architecture Abstraction Detailed By the Main mentioning

confidence: 99%

Section: Figure 1 Sdn Architecture Abstraction Detailed By the Main mentioning

confidence: 99%

Enhancing Orchestration and Infrastructure Programmability in SDN With NOTORIETY

et al. 2020

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“…It combines two different accounts from websites or social networks to interact and work together. OpenDaylight (ODL) [14] stands out by presenting functionalities for infrastructure management and advanced data structures provided by DataStores (i.e., a conceptual site for information storage, management, and distribution) [15] and REST APIs [16], which are used by remote management entities, such as network orchestrators [17]. The functionalities allow for proactivity in different aspects of infrastructure management, as traffic patterns, performance evaluation, and error diagnosis.…”

Section: Related Workmentioning

confidence: 99%

M4DN.IoT-A Networks and Devices Management Platform for Internet of Things

et al. 2019

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Connected objects to the Internet (computers, sensors, smartphones, and smart watches) are the part of daily life and their interconnection performs the Internet of Things (IoT) vision. IoT solutions are used in various domains, such as healthcare, industry, agriculture, and cities. IoT networks are often characterized by resource-constrained devices and sometimes deployed in hard to reach areas. In addition, an IoT network landscape may include a large number of heterogeneous devices. All these factors drive the need for adapted management solutions for IoT devices and networks. In order to guarantee the better use of IoT networks, effective and automatic management is necessary. This paper studies different solutions for IoT networks and devices management identifying their characteristics and technical challenges. Important requirements like security, context-aware, and a standard model for messages exchange have not been completely explored. Thus, these most relevant features are used to propose and deploy a new IoT management platform with a friendly user's interface, called management for devices and networks in IoT (M4DN.IoT). The solution is evaluated, demonstrated, validated, and it is under use.

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“…As a replacement to the low-level imperative interfaces, Frenetic offers abstractions for querying network state, defining forwarding policies, and updating policies [6]. There are also several tools to manage SDN structures, such as Flowsim, a tool that provides interactive SDN switch visualization [7], and MISSIn system, a supportive tool for orchestrating SDN infrastructures [8], and Mininet, a manageable tool to implement the flow admission control module [9]. In order to make SDN more robust and efficient, research on improving SDN structures has been conducted in a variety of aspects.…”

Section: Introductionmentioning

confidence: 99%

The Overview of SDN Architecture and its Practical Application with Improving Methods

2021

FSST

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This paper presents a comprehensive analysis on Software Defined Network (SDN) based on these following main aspects: i) an overview of the SDN architecture, ii) the introduction of a practical SDN application, iii) characteristics and drawbacks of SDN, and iv) methods for improving the performance of SDN. By reviewing and researching the rise and development of SDN, it is proposed that SDN solves many issues of traditional distributed networks, including configuration and management difficulties due to network node diversity. However, it still has some limitations, such as decentralize tendency and code opacity caused by competition among vendors. The goal of SDN development is to put SDN in the details of real issues, to improve it from different aspects, and thus make it as a better network.

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Towards a Modular Interactive Management approach for SDN Infrastructure orchestration

Cited by 7 publications

References 16 publications

Enhancing Orchestration and Infrastructure Programmability in SDN With NOTORIETY

Enhancing Orchestration and Infrastructure Programmability in SDN With NOTORIETY

M4DN.IoT-A Networks and Devices Management Platform for Internet of Things

The Overview of SDN Architecture and its Practical Application with Improving Methods

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