Flow aggregation for SDN‐based delay‐insensitive traffic control in mobile core networks

Minh, Quang Tran; Le, An N.; Dang, Tran Khanh; Thoai, Nam; Kitahara, Takeshi

doi:10.1049/iet-com.2018.5194

Cited by 10 publications

(9 citation statements)

References 25 publications

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“…An efficient approach of flow aggregation for the delayinsensitive traffic control based on SDN framework is proposed in [45]. The study focuses on the case of massive number of small delay-insensitive traffic flows.…”

Section: Data Aggregation Based On Sdnmentioning

confidence: 99%

QoS-Based Data Aggregation and Resource Allocation Algorithm for Machine Type Communication Devices in Next-Generation Networks

Ahmed

Rikli

2021

IEEE Access

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Machine Type Communication (MTC) becomes one of enablers of the internet of things, it faces many challenges in its integration with human-to-human (H2H) communication methods. To this aim, the Long Term Evolution (LTE) needs some adaptation in the scheduling algorithms that assign resources efficiently to both MTC devices (MTCDs) and H2H users. The minimum amount of LTE resources that can be assigned to one user is much larger than the requirements of a single MTCD. In this paper, a QoS-enabled algorithm is proposed to aggregate MTCD traffic coming from many sources at the Relay Node (RN) that classifies and aggregates the MTCD traffic based on the source type and delay requirements. In this study, three types of MTCD and one H2H sources will be considered. Each type of MTCD traffic will be grouped into a separate queue, and will be served with the appropriate priority. Resources are then assigned to the aggregated MTC traffic instead of an individual assignment for each MTCD, while the H2H users will be directly connected to the LTE. Two schemes of resource partitioning and sharing between the MTCDs and the H2H users will be considered: one proportional and the other moving-boundary. Simulation models will be built to evaluate the proposed algorithms. While the obtained results for the first scheme showed a clear improvement in LTE resource utilization for the MTCDs, a negative effect was noticed in the performance of the H2H users. The second scheme achieved a positive improvement for both MTCDs and H2H users. INDEX TERMS5G networks, Data aggregation, Internet of Things IoT, MTC, resource allocation, Quality of Service QoS. I. INTRODUCTIONAn increasing demand for high data rates, high capacity, and low latency to support a fully connected networked society that offers access to information and the sharing of data anywhere and anytime for anyone and anything, has led to the introduction of a new type of communication paradigm called machine-to-machine communication (M2M) or machine type communication (MTC). This type of communication implies that machines have the ability to communicate with each other in a smart approach without or with a minimum of human intervention [1]. Interest in MTCDs has increased in recent decades because they exist in many applications of the internet of things, such as but not limited to e-Healthcare, smart metering, smart cities, intelligent transportation systems, supply chains, surveillance monitoring systems, the prediction of natural disasters, and many social applications [2].LTE-Advanced (LTE-A) is a candidate as the most suitable cellular technology to support MTC, due to its high data rates, large coverage area, high capacity, and spectrum efficiency. However, there are many challenges in the integration of MTCDs in an LTE-A network [3][4][5]. LTE-A has largely been designed to support H2H devices, which typically require high data rates and a small delay, have a small number of users (compared to MTCDs) and transmit a large volume of data packets. In contrast, MTCDs have di...

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Section: Data Aggregation Based On Sdnmentioning

confidence: 99%

QoS-Based Data Aggregation and Resource Allocation Algorithm for Machine Type Communication Devices in Next-Generation Networks

Ahmed

Rikli

2021

IEEE Access

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“…At 1445 bytes, there is a sudden increase of end-to-end delay, due to the testbed's end-limit. Theoretically, when number of traffics increases, the end-to-end delay also increases [41]. Therefore, comparing the plots for downstream, the end-to-end delay of two traffics is twice as big as single traffic, because testbed needs to process the data twice.…”

Section: Fiber-wireless Stress Testmentioning

confidence: 99%

Performance Evaluation Reprogrammable Hybrid Fiber-Wireless Router Testbed for Educational Module

Nasir¹,

Ahmad²,

Radzi³

et al. 2021

Adv. sci. technol. eng. syst. j.

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Fiber-Wireless (FiWi) network is an integration of fiber optic and wireless connections in the same network. It is one of the best solutions to overcome rapid increment of Internet users and bandwidth-hungry services. To facilitate fundamental knowledge and further understanding on FiWi for students and researchers at the university level, this article proposes the development of a fast integration and scalable FiWi router testbed using Raspberry Pis as the embedded system-based hardware for lab-scale experiments. The performance of the router testbed in terms of end-to-end delay and throughput for upstream and downstream are evaluated. The delay values comply with IEEE 802.15.4 routing scheme. The performance of the router testbed is compared with the industrial grade offthe-shelf router in terms of throughput for each network. A testbed stress test is conducted by sending two data traffics simultaneously, and the performance test is repeated for Wireless-Fiber-Wireless and Fiber-Wireless-Fiber network architecture. The results show the proposed router testbed is scalable, flexible, and capable of fast integration.

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“…They ensure a neat and clean environment between networking devices and their applications. Overall, application development in today's SDN-enabled controllers is a difficult task [82], [127]. Indeed, for load balancing among backend servers, a controller can split flows over several server replicas which are too difficult to implement.…”

Section: B Frenetic -Programming the Sdn Applicationsmentioning

confidence: 99%

Software-Defined Cloud Computing: A Systematic Review on Latest Trends and Developments

Abbasi

Shamshirband

et al. 2019

IEEE Access

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Cloud computing concepts offer effective and efficient tools for addressing resource-hungry computational problems. While conventional methods, architectures, and processing techniques may limit cloud data center performance, software-defined cloud computing (SDCC) is an approach where virtualization services to all network resources in a dc are software-defined and where software-defined networking (SDN) and cloud computing go hand in hand. SDCC-related concepts change the previous state of affairs by promoting the centralized control of networking functions in a data center. A key objective of developing software-driven cloud infrastructure is that the networking hardware, software, storage, security, and network traffic management is open and interoperable. This facilitates easy installation and management of networking functions in the cloud infrastructure. Employing SDCC concepts to cloud data centers can improve resource administration challenges to a greater extent. This paper presents a survey on SDCC. We begin by introducing SDCC environments and explain its main architectural components. We identify the essential contributions of various developments to this field and discuss the implementation challenges and limitations faced in their adoption. We also explore the potential of SDCC in two domains, namely, resource orchestration and application development, as case studies of specific interest. In an attempt to anticipate the future evolution, we discuss the important research opportunities and challenges in this promising field.

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Flow aggregation for SDN‐based delay‐insensitive traffic control in mobile core networks

Cited by 10 publications

References 25 publications

QoS-Based Data Aggregation and Resource Allocation Algorithm for Machine Type Communication Devices in Next-Generation Networks

QoS-Based Data Aggregation and Resource Allocation Algorithm for Machine Type Communication Devices in Next-Generation Networks

Performance Evaluation Reprogrammable Hybrid Fiber-Wireless Router Testbed for Educational Module

Software-Defined Cloud Computing: A Systematic Review on Latest Trends and Developments

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