The Transmission Control Protocol.

Since its formal introduction to IP networks in 1993 as a viable complementary approach for congestion control, there has been a steady stream of research output with respect to Active Queue Management (AQM). This survey attempts to travel the trajectory of AQM research from 1993 with the first algorithm, Random Early Detection (RED), to current work in 2011. In this survey we discuss the general attributes of AQM schemes, and the design approaches taken such as heuristic, control-theoretic and deterministic optimization. Of interest is the role of AQM in QoS provisioning particularly in the DiffServ context, as well as the role of AQM in the wireless domain. For each section, example algorithms from the research literature are presented.

Active Queue Management: A Survey

Congestion control has become a research focus with the development of network communication technology. Random early detection (RED) for queue management techniques is the most effective method. However, RED is particularly sensitive to the traffic load and the parameters of the scheme itself. When the traffic load is low, the bandwidth is underutilized, whereas when the traffic load is high, the delay is large. This paper presents a minimal adjustment to RED called three-section random early detection (TRED) based on nonlinear RED, in which the packet dropping probability function is divided into three sections to distinguish between light, moderate, and high loads to achieve a tradeoff in the delay and the throughput between low and high traffic loads. The NS2 simulation results show that TRED effectively improves the insufficiencies of RED to achieve better congestion control. Additionally, very little work needs to be done to migrate from RED to TRED on Internet routers because only the packet dropping probability profile is adjusted.

Congestion Control Scheme Performance Analysis Based on Nonlinear RED

Industrie 4.0 introduces a concept of digitalized production by allowing agile and flexible integration of new business models while maintaining manufacturing costs and efficiency at the reasonable level. In addition, cloud computing is one of the IT trends that is used nowadays to offer services on demand from a virtual environment in enterprise and office areas. The use of cloud computing in an industrial automation domain in order to offer on-demand services, such as alarm flood management or control as a service, is a promising solution. This study examines how the cloud-based applications can meet the Industrie 4.0 requirements concerning security, communication, self-configuration, reliability, and asset administration shell. Moreover, research challenges and existing gaps that need further investigation are identified and discussed.

Analysis of the requirements for offering industrie 4.0 applications as a cloud service

QOS improvement has been a subject of intensive discussion. The research in the network field for congestion control is by means ofscheduling packets from different traffic flows for processing at a specific node. When that particular node is selected for the transmission of all traffic flows since it has been chosen as an emerging node for the shortest pathin the adaptive energy efficient algorithm, queue scheduling disciplines have been usedto improve the quality of service. In this paper, we evaluate the performance of four queuing disciplines (FIFO, PQ , RED and WFQ) which is implemented in the AEERG protocol . This paper gives the NS-2 simulation results to compare their relative performance based on queuingdelay, packet drop rate andend-to-end delay for the above queuing techniques.

Congestion Control and QOS Improvementfor AEERG protocol inMANET

In this letter, the performance of several adaptive AQM schemes has been evaluated for congestion control in wireless ad hoc networks. A new active queue management algorithm based on RED, called AHRED has been designed and compared with different AQM schemes such as Drop-Tail, RED, SRED, and REM. AHRED uses a packet drop probability function based on hazard function to prevent congestion which behaves rapidly according to the density of traffic load. AHRED scheme becomes gentler than RED at light traffic load but more aggressive at heavy load. Simulations demonstrate that AHRED achieves high performance in wireless ad hoc networks.

AHRED: A robust AQM algorithm for wireless ad hoc networks

Proposition assumed by the TCP protocol that any packet loss is due to network congestion, is no longer suitable for wireless networks, because TCP poorly fulfills its role in such networks In this article has been presented and been listed the main causes of this performance degradation Even though there are many methods and protocols have been proposed TCP variants up until now, in this review only a few of them have been studied Here as solutions to the reasons of TCP performance degradation in wireless and wireless LAN networks were grouped into three main groups: end-to-end approaches, split-connection approaches and proxy-based approaches Research in this area is still producing rapid action, and considerable amount of problems are still widely open, so this article is to identify the main causes of TCP performance degradation over wireless networks and to review some proposed TCP variant to prevent such lack of TCP in wireless and WLAN networks

A review of protocols related to enhancement of TCP performance in wireless and WLAN networks

Cloud computing has emerged as a new technology aimed to host computer resources and deliver appropriate services over the Internet. Cloud computing become attractive to IT industry by providing user requirements in pay as you go principle and increase resources only when service demand increases. However, despite the fact that cloud computing offers tremendous opportunities to the IT industry, there are still many issues still to be addressed in the development of cloud computing technology. In this paper, a review of cloud computing technology and its concepts, state-of-the-art implementation, brief architecture and research challenges have been investigated.

Cloud computing: State of the art reseach issues

Congestion control mechanism was studied widely in the TCP environment to keep the stability of the whole network. Active queue management algorithms employed in routers is an important issue focused by researchers in the congestion control study. Many AQM algorithms are proposed for early detection of congestion in TCP network. In this paper a new AQM algorithm, LIRED proposed by developing packet drop probability function based on linear interpolation method and compared with some AQM algorithms by considering important performance parameters. Simulations show that proposed AQM algorithm performs better in the bursty network traffic.

Using linear interpolation method for packet drop probability function of RED algorithm

Routing protocols yield various outcomes in different situations. Thus far, many scholars investigated existing and recently proposed routing protocols in different environments. Due to increase in the amount of mobile devices and access points, the routing protocols have undergone the performance degradation. The paper analyzes and evaluates three routing protocols based on the node density and node mobility. According to the analysis results, DSR (Dynamic Source Routing) protocol has demonstrated better performance in some cases and values. However, AODV (Ad-hoc On-Demand Distance Vector) routing protocol demonstrated overall better performance than others.

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Babak Abbasov

Papers

AHRED: A robust AQM algorithm for wireless ad hoc networks

A review of protocols related to enhancement of TCP performance in wireless and WLAN networks

Cloud computing: State of the art reseach issues

Using linear interpolation method for packet drop probability function of RED algorithm

Comparative analysis of efficiency of aodv, dsr and wrp routing protocols in ad-hoc networks