Dynamic Management of Forwarding Rules in a T-SDN Architecture with Energy and Bandwidth Constraints

Petrosino, Antonio; Sciddurlo, Giancarlo; Grieco, Giovanni; Shah, Awais Aziz; Piro, Giuseppe; Grieco, Luigi Alfredo; Boggia, Gennaro

doi:10.1007/978-3-030-61746-2_1

Cited by 7 publications

(3 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…is is still a challenge in real FANETs application scenarios. In the future, we can explore the introduction of SDN (Software Defined Network) [22] technology into FANET to solve this problem and then test the solution in various network scenarios.…”

Section: Discussionmentioning

confidence: 99%

Copy Adaptive Routing Algorithm Based on Network Connectivity in Flying Ad Hoc Networks

Sang

Wang

et al. 2021

Mobile Information Systems

View full text Add to dashboard Cite

The Flying Ad Hoc Network (FANET) is a kind of mobile network which is composed of flying UAVs (Unmanned Aerial Vehicles) as network nodes. With the high node mobility and dynamic topology, data transmission in FANETs is faced with severe challenges, such as unstable communication links and limited resources in the network. Due to the uncertainty of node encounters, data transmission is usually carried out by opportunistic transmission. However, the opportunistic delivery of data using multicopy routing not only consumes a large amount of network resources but also causes too much transmission overhead and low delivery quality. Thus, this paper designs a connectivity-based copy adaptive transmit routing algorithm (CCAT). Considering the network interruptions caused by high-speed node movement, CCAT makes packet forwarding decisions by estimating network connectivity and uses node transmit prediction value as forwarding utility value to control the number of copies of packets. Simulation results show that the delivery rate of CCAT can be improved by about 30% at the peak compared with traditional multicopy routing strategies and the transmission latency of CCAT is minimal.

show abstract

Section: Discussionmentioning

confidence: 99%

Copy Adaptive Routing Algorithm Based on Network Connectivity in Flying Ad Hoc Networks

Sang

Wang

et al. 2021

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

“…Following the advancements in SDN implementation, several technologies and standards for network components virtualization were introduced, such as Link Aggregation (LA) mechanisms for communication link virtualization [10]. Other SDN based network component virtualization standards include the FlowVisor for switch virtualization [11] and PFlow for service virtualization [11,12]. LA focuses on increasing the transmission capacity of network links by bundling two or more Ethernet channels into a single logical link called the link aggregation group (LAG).…”

Section: Introductionmentioning

confidence: 99%

Dynamic Bandwidth-aware Link Aggregation Control Algorithm for Self- Hosted Lms Data Center

Kunu,

Dagadu,

Pomatse

et al. 2023

Preprint

View full text Add to dashboard Cite

Reliable network connectivity is an absolute requirement for running online Learning Management System (LMS). This is particularly important, but challenging for a self-hosted LMS which is characterized by growing number of users. As many self-hosted systems are fraught with low bandwidth and hence deliver poor quality service to end users. Link Aggregation Control Protocol (LACP) has been proposed as a networking technique that can effectively provide link reliability and improved bandwidth at a much reduced cost. Notwithstanding, traditional LACP implementation usually results in link redundancy due to poor configuration. This study proposes an algorithm that will allocate network bandwidth according to the dynamic behaviours of the LMS application. The dynamic bandwidth-aware LACP system was configured to dynamically assign network bandwidths according to the requirements of the LMS application instance. The system is simulated for a 2-LAG and 4-LAG setups using the SDN Ryu controller. The results of the simulation show that the proposed system is effective in assigning communication link bandwidth according to the dynamic needs of the LMS. Also, the system can quickly re-assign link bandwidth when one or two links are down. However, as the number of aggregated links increases, delays and packet retransmission rates also increase. This suggests that the number of links aggregated into a LAG should be carefully selected according to the SDN controller’s ability to fully utilize them to avoid link redundancy.

show abstract

“…The devices at the edge of the network are subjected to signi icant luctuations in the amount of of loaded tasks over time [4]. Hence, it is of paramount importance that these luctuations do not affect the performance of the system and cause process faults [5]. In addition to that, edge computing environments are characterized by extreme heterogeneity and dynamicity in regards to the tasks and the processing nodes involved.…”

Section: Introductionmentioning

confidence: 99%

Intelligent proactive fault tolerance at the edge through resource usage prediction

Θεοδωρόπουλος¹,

Violos²,

Tsanakas³

et al. 2022

ITU J-FET

View full text Add to dashboard Cite

The proliferation of demanding applications and edge computing establishes the need for efficient management of the underlying computing infrastructures, urging the providers to rethink their operational methods. In this paper, we propose an Intelligent Proactive Fault Tolerance (IPFT) method that leverages the edge resource usage predictions through Recurrent Neural Networks (RNNs). More specifically, we focus on the process faults, which are related with the inability of the infrastructure to provide Quality of Service (QoS) in acceptable ranges due to the lack of processing power. In order to tackle this challenge we propose a composite deep learning architecture that predicts the resource usage metrics of the edge nodes and triggers proactive node replications and task migration. Taking also into consideration that the edge computing infrastructure is also highly dynamic and heterogeneous, we propose an innovative Hybrid Bayesian Evolution Strategy (HBES) algorithm for automated adaptation of the resource usage models. The proposed resource usage prediction mechanism has been experimentally evaluated and compared with other state of the art methods with significant improvements in terms of Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE). Additionally, the IPFT mechanism that leverages the resource usage predictions has been evaluated in an extensive simulation in CloudSim Plus and the results show significant improvement compared to the reactive fault tolerance method in terms of reliability and maintainability.

show abstract

Dynamic Management of Forwarding Rules in a T-SDN Architecture with Energy and Bandwidth Constraints

Cited by 7 publications

References 22 publications

Copy Adaptive Routing Algorithm Based on Network Connectivity in Flying Ad Hoc Networks

Copy Adaptive Routing Algorithm Based on Network Connectivity in Flying Ad Hoc Networks

Dynamic Bandwidth-aware Link Aggregation Control Algorithm for Self- Hosted Lms Data Center

Intelligent proactive fault tolerance at the edge through resource usage prediction

Contact Info

Product

Resources

About