The wide coverage of satellite networks and the large bandwidth terrestrial have led to an increasing research on integration two (ISTN) for complementary advantages. However, most researches routing mainly focus internal network. Due point-to-area channel characteristics between satellites ground stations, heterogeneity ISTN has increased, which makes that algorithm traditional cannot be applied end-to-end ISTN. Meanwhile, data flows with elastic quality service attribute make pre-assign...

This paper considers a reconnaissance task allocation problem for multiple unmanned aerial vehicles (UAVs) in 3D urban environments. In this paper, we present an extended heterogeneous targets model which introduced cuboid environment to improve the fidelity of model. A method is designed each type target, and mission described as target multi-traveling salesman solving complex optimization problems with constraints.To address these problems, multi-group symbiotic organisms search algorithms...

The spatial topology of large-scale low-Earth-orbit satellite communication networks is dynamically time-variant, and the load on output ports network nodes continuously changing. lengths numbers port queues at each node can affect packet loss rate end-to-end latency traffic flows. In order to provide high-quality services, it necessary schedule optimize used for transmitting time-sensitive flows node’s achieve best deterministic transmission performance. This paper introduces a queue...

Application-driven networks (ADNs) aim to build logically separate virtual (VNs) meet the distinct demands of different applications. In this paper, we study how realize on-demand slicing application-driven software-defined elastic optical (vSD-EONs) based on concept ADN. We design network system for vSD-EON and demonstrate building operating vSD-EONs with it experimentally. Specifically, our experimental demonstrations consider three scenarios: (1) the tenant’s application...

Software-defined elastic optical networks (SD-EONs) provide operators more flexibility to customize their infrastructures dynamically. By leveraging infrastructure-as-a-service (IaaS), virtual SD-EONs (vSD-EONs) can be realized further enhance the adaptivity of and shorten time-to-market new services. In this paper, we design demonstrate building operating quality-of-service (QoS) aware survivable vSD-EONs that are equipped with transparent data plane (DP) resiliency. Specifically, when...

It is known that the multi-broker-based management plane can potentially provide a realistic solution to facilitate incentive-driven cross-domain network orchestration in multi-domain software-defined elastic optical networks (SD-EONs). Such assures autonomy of each domain and supports economical service provisioning across multiple domains as well. In this study, we consider economic principle SD-EONs study how realize with broker competitions. We first present theoretical model operations...

This paper presents a hybrid learning approach for cooperative fault management in multi-domain optical networks (MD-ONs). The proposed relies on broker-based MD-ON architecture coordination of inter-domain service provisioning. We first propose self-supervised design soft failure detection. makes use clustering algorithm extracting normal and abnormal patterns from performance monitoring data supervised learning-based classifier trained with the learned online To facilitate high detection...

Nowadays, it is common for service providers (SPs) to leverage hybrid clouds improve the quality-of-service (QoS) of their Big Data applications. However, achieving guaranteed latency and/or bandwidth in its cloud, an SP might desire have a virtual datacenter (vDC) network, which can manage and manipulate network connections freely. To address this requirement, we design implement slicing orchestration (NSO) system that create expand vDCs across optical/packet domains on-demand. Considering...

This paper demonstrates, for the first time to our knowledge, hierarchical learning framework inter-domain service provisioning in software-defined elastic optical networking (EON). By using a broker-based architecture, broker collaborates with domain managers realize efficient global without violating privacy constrains of each domain. In proposed scheme, machine learning-based cognition agents exist as well broker. The system is experimentally demonstrated on two-domain seven-node EON...

This paper proposes a new networking paradigm introducing the broker-plane above management planes of Autonomous Systems (ASes).The brokers communicate with manager each AS to assist coordinate end-to-end resource and path provisioning across multi-AS networks involving multiple operators.The broker plane updates virtual network topology, manages information inter-AS links aggregated (abstracted) intra-AS links, computes routing, modulation formats, spectrum assignment...

We demonstrate the first experimental testbed with a hierarchical machine-learning network management framework for impairment-aware end-to-end elastic optical RMSA service provisioning across multi autonomous domains QoT estimation deviations below 10%.

This work studies multi-broker based market-driven service provisioning in SD-EONs. By leveraging non-cooperative sequential gaming, we design an intelligent bidding strategy for the brokers to compete tasks. An OpenFlow multi-domain SD-EON testbed is then used experimental demonstrations.

Software defined integrated space ground networks are playing an indispensable role in the next generation network. In this paper, we proposed a simulation platform of SDN enabled networks. On platform, most satellites switches to forward data based on flow-tables provided by controllers located highest layer take responsibility centralized control. analyze regional coverage performance through STK (Satellite Tool Kit) for network architecture with multi-layer and communication analysis is...

Software-defined elastic optical networks (SD-EONs) provide operators more flexibility to customize their infrastructure dynamically and adaptively, network virtualization, i.e., infrastructure-as-a-service (IaaS), enables multiple tenants share the substrate efficiently. In this paper, we study how provision virtual SD-EONs (vSD-EONs) with correlated data control plane embedding (χ-VNE) that considers quality-of-service (QoS) of (vCP), availability channel latency. We propose a χ-VNE...

We design and experimentally demonstrate a network slicing system which can not only construct vSD-EONs dynamically for upper-layer applications but also recover their data plane services automatically timely during substrate link failures.

With network virtualization, an infrastructure provider can create virtual software-defined networks (vSDNs) over a shared substrate and lease them to service providers (SPs). This enables the SPs run their Big Data applications in short time-to-market, flexible cost-effective way. However, dynamic network, both instances of vSDNs traffic each vSDN change time, which would degrade optimality embedding schemes even cause serious reliability issues. Therefore, this work, we extend our...

Traditional design of active queue management (AQM) assumes a fixed model at an operating point and lacks planning. AQMs like controlled delay provide some planning but are insensitive to dynamic traffic. In this Letter, the authors propose traffic aware AQM with deep reinforcement learning expand on grid points add more By network parameter transitions between collected data, fluid transmission control protocol dynamics is obtained. Planning enhanced by value iterations. Evaluations show...

We propose and demonstrate cross-stratum Broker orchestration for scientific applications heterogeneous resources reservation in DCs, HPC facilities networks belonging to different operators. Experiments were performed a distributed set-up spanning across three continents.

As an important complement to the terrestrial network and essential component of future 6G, Low Earth Orbit (LEO) satellite is expected provide higher-quality communication services in combination with attracts widespread research interest. Since unbalanced distribution may lead inter-satellite link (ISL) congestion, balancing load has become one key issues for LEO networks. In order prevent ISL congestion networks, we propose a multi-region division routing algorithm based on...

With the fierce research on space and terrestrial network, satellite network as main component has received increasing attention. Due to its special operating environment, there are temporary link failures caused by interference permanent port equipment problems. In this paper, we propose a new routing technology for fault recovery based detection. Based Bayesian decision, judges probability of each priori two faults achieve purpose effectively distinguishing between types locate faulty...

We designed and implemented a dynamic simulation platform for software defined optical satellite networking. It can simulate all nodes in network on one computer. refresh the real time highly complex environment, including changes connection between caused by periodic motion of link quality, etc. In addition, apply other algorithms so that is practical scalable. also conducted test small constellation this platform. The experimental results obtained are line with expectations reflects capabilities