Raising the datagram API to support transport protocol evolution

Jones, Tom; Fairhurst, Gorry; Perkins, Colin

doi:10.23919/ifipnetworking.2017.8264870

Cited by 3 publications

(5 citation statements)

References 13 publications

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“…Taking advantage of information outside of a protocol's or layer's scope of work and managing these functionalities could result in a better service, in terms of the general performance or concrete parameters such as latency and reliability, that would benefit both the services and the network, resulting in a better service with reduced overload. The traditional socket API is too low-level, simple and inflexible [65]- [67] and has been questioned for a long time. Due to the number of works on this subject, in this survey, we create a separate category for discussing papers on APIs to improve the reliability and latency.…”

Section: B Application Programming Interface (Api)mentioning

confidence: 99%

“…However, they are too far from the 5G requirements studied in this survey. Newer contributions that try to fit new tendencies such as multiple connectivity, as enablers of the demands on latency and reliability, are Jones et al [65] and Trammell et al [66]. Jones et al [65] propose raising the datagram API [66] TP Enh.…”

Section: Application Programming Interfacesmentioning

confidence: 99%

“…Newer contributions that try to fit new tendencies such as multiple connectivity, as enablers of the demands on latency and reliability, are Jones et al [65] and Trammell et al [66]. Jones et al [65] propose raising the datagram API [66] TP Enh. : Protocol Selection Scharf et al [189] Ctxt Awa: Cross-layer Hesmans et al [190] Scheduling: Paths Hesmans et al [191] Scheduling: Paths…”

Section: Application Programming Interfacesmentioning

confidence: 99%

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A Survey of End-to-End Solutions for Reliable Low-Latency Communications in 5G Networks

Rico

Merino

2020

IEEE Access

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Very low latency and high reliability are two of the main requirements for new applications exploiting 5G networks. This is the case for the remote operation of robots or vehicles, the autonomous interaction of equipment in a factory, autonomous driving and tactile internet applications. Although the TCP/IP stack has been sufficient as the end-to-end solution for most of the history of the Internet, a number of surveys have appeared recently presenting many different methods for managing the end-to-end communication to meet the requirements of various technologies such as that of 5G networks. In this paper, we present a novel classification of the literature focused on new end-to-end solutions and the creation of services towards the support of low latency (1 ms) and high reliability (10-9 error rate) in current and future 5G networks. We specifically highlight how the proposals can be classified according to enabling technologies and the specific method used to achieve success in terms of the latency and reliability. The literature related to end-to-end solutions for reliable low-latency communications are organized according to three main topics: (i) end-to-end protocols that improve communication in terms of latency and reliability, (ii) functionality or technologies implemented on the network to support the current demands, and (iii) application programming interfaces that enhance the correct utilization of those protocols and additional technologies.

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Section: B Application Programming Interface (Api)mentioning

confidence: 99%

Section: Application Programming Interfacesmentioning

confidence: 99%

Section: Application Programming Interfacesmentioning

confidence: 99%

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A Survey of End-to-End Solutions for Reliable Low-Latency Communications in 5G Networks

Rico

Merino

2020

IEEE Access

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“…The rationale for this is the difficulties with developing TCP that follow from the fact that present middleboxes rely on implicit interpretations of TCP, and/or lack of encryption to perform different forms of functionality some of which even may be unwanted. Examples of such implicit interpretations include TCP packets with SYN and ACK flags being interpreted by gateways as confirmations of NAT (network address translation) settings and by firewalls as confirmations of user acceptance [23,49]. Examples of possibly unwanted functionality include traffic management devices aborting flows by manipulating the RST flag in TCP packets [22].…”

Section: Developments In Transport Control Protocolsmentioning

confidence: 99%

State of the Art and Research Challenges in the Area of Autonomous Control for a Reliable Internet of Services

Mei

Berg²,

Ганчев

et al. 2018

Lecture Notes in Computer Science

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The explosive growth of the Internet has fundamentally changed the global society. The emergence of concepts like service-oriented architecture (SOA), Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS), Network as a Service (NaaS) and Cloud Computing in general has catalyzed the migration from the information-oriented Internet into an Internet of Services (IoS). This has opened up virtually unbounded possibilities for the creation of new and innovative services that facilitate business processes and improve the quality of life. However, this also calls for new approaches to ensuring quality and reliability of these services. The goal of this book chapter is to first analyze the state-of-the-art in the area of autonomous control for a reliable IoS and then to identify the main research challenges within it. A general background and high-level description of the current state of knowledge is presented. Then, for each of the three subareas, namely the autonomous management and real-time control, methods and tools for monitoring and service prediction, and smart pricing and competition in multi-domain systems, a brief general introduction and background are presented, and a list of key research challenges is formulated. Keywords: Internet of Services (IoS) Á Autonomous control Autonomous management Á Service monitoring Á Service prediction Smart pricing 3 Autonomous Management and Real-Time Control On a fundamental level, the working group WG1, associated with this research sub-area, was primarily concerned with the management and control of networks, services, applications, and compositions of services or applications. Of particular interest were management and control techniques that span multiple levels, e.g., the network and service level.

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“…Mobile broadband (MBB) usage has risen significantly in the last years and so has done the customers' awareness regarding the quality of service (QoS). Thus, the measurement of QoS the so-called transport services [4][5][6]. These transport services are ad-hoc layers that work between the transport layer and the application layer, taking advantage of the substrate transport protocol (mainly TCP and UDP) and gaining some freedom due to its development in the user space of the operating system (OS) and additional functionalities (i.e.…”

Section: Introductionmentioning

confidence: 99%

Transport Protocol Performance and Impact on QoS while on the Move in Current and Future Low Latency Deployments

Liberal¹,

Fajardo²,

Atxutegi³

2018

Broadband Communications Networks - Recent Advances and Lessons From Practice

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Transport protocols and mobile networks have evolved independently leading to a lack of adaptability and quality of service (QoS) degradation while running under the variability circumstances present in cellular access. This chapter evaluates the performance of state-of-the-art transmission control protocol (TCP) implementations in challenging mobility scenarios under 4G latencies and low delays that model the proximity service provisioning of forthcoming 5G networks. The evaluation is focused on selecting the most appropriate TCP flavor for each scenario taking into account two metrics: (1) the goodput-based performance and (2) a balanced performance metric that includes parameters based on goodput, delay and retransmitted packets. The results show that mobility scenarios under 4G latencies require more aggressive TCP solutions in order to overcome the high variability in comparison with low latency conditions. Bottleneck Bandwidth and Round-Trip Time-RTT (BBR) provides better scalability than others and Illinois is more capable of sustaining the goodput with big variability between consecutive samples. Besides, CUBIC performs better in lower available capacity scenarios and regarding the balanced metric. In reduced end-to-end latencies, the most suitable congestion control algorithms (CCAs) to maximize the goodput are NewReno (low available capacity) and CUBIC (high available capacity) when moving with continuous capacity increases.Additionally, BBR shows a balanced and controlled behavior in most of the scenarios.in MBB networks has become a key issue. In this regard, the proper performance of the transport layer constitutes a critical feature in order to fulfill the QoS requirements of the clients (user equipments-UE) [1,2]. In MBB, due to the multiple sources of variability (related to the client or self-inflicted effects such as channel quality reporting, propagation and fading pattern alterations due to mobility-and related to the intrinsic features of MBB such as bandwidth sharing, modulation and so forth), the network conditions become more volatile than in fixed networks and therefore the accuracy of transport protocols to adapt their sending rate as close to the available capacity as possible is reduced, impacting on the final performance [1,2]. Therefore, there is an urgent need to study the relation between the transport protocol performance in MBB and its impact on the actual QoS results.We consider that the mobility is one of the biggest features that differentiates cellular access from other connectivity schemes. Besides, the wide range of moving possibilities makes every use-case distinct and independent, creating different network conditions for transport protocols. In this regard, it is important to focus the performance-based analysis of current stateof-the-art transport protocol solutions over different mobile network mobility circumstances and understand the implications of the movement in the interaction between the transport protocol and the MBB variability.Regarding mobile networks, this ...

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Raising the datagram API to support transport protocol evolution

Cited by 3 publications

References 13 publications

A Survey of End-to-End Solutions for Reliable Low-Latency Communications in 5G Networks

A Survey of End-to-End Solutions for Reliable Low-Latency Communications in 5G Networks

State of the Art and Research Challenges in the Area of Autonomous Control for a Reliable Internet of Services

Transport Protocol Performance and Impact on QoS while on the Move in Current and Future Low Latency Deployments

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