Performance analysis of next generation web access via satellite

Acknowledgements This work was partially funded by the European Union's Horizon 2020 research and innovation programme under grant agreement No. 644334 (NEAT). The views expressed are solely those of the author(s).Peer reviewedPostprin

Handover management in mobile WiMAX using adaptive cross-layer technique

The protocol type and the base station (BS) technology are the main communication media between the Vehicle to Infrastructure (V2I) communication in vehicular networks. During high speed vehicle movement, the best communication would be with a seamless handover (HO) delay in terms of lower packet loss and throughput. Many studies have focused on how to reduce the HO delay during lower speeds of the vehicle with data link (L2) and network (L3) layers protocol. However, this research studied the Transport Layer (L4) protocol mobile Stream Control Transmission Protocol (mSCTP) used as an optimal protocol in collaboration with the Location Manager (LM) and Domain Name Server (DNS). In addition, the BS technology that performs smooth HO employing an adaptive algorithm in L2 to perform the HO according to current vehicle speed was also included in the research. The methods derived from the combination of L4 and the BS technology methods produced an Adaptive Cross-Layer (ACL) design which is a mobility oriented handover management scheme that adapts the HO procedure among the protocol layers. The optimization has a better performance during HO as it is reduces scanning delay and diversity level as well as support transparent mobility among layers in terms of low packet loss and higher throughput. All of these metrics are capable of offering maximum flexibility and efficiency while allowing applications to refine the behaviour of the HO procedure. Besides that, evaluations were performed in various scenarios including different vehicle speeds and background traffic. The performance evaluation of the proposed ACL had approximately 30% improvement making it better than the other handover solutions

CloudJet4BigData: Streamlining Big Data via an Accelerated Socket Interface

Big data needs to feed users with fresh processing results and cloud platforms can be used to speed up big data applications. This paper describes a new data communication protocol (CloudJet) for long distance and large volume big data accessing operations to alleviate the large latencies encountered in sharing big data resources in the clouds. It encapsulates a dynamic multi-stream/multi-path engine at the socket level, which conforms to Portable Operating System Interface (POSIX) and thereby can accelerate any POSIX-compatible applications across IP based networks. It was demonstrated that CloudJet accelerates typical big data applications such as very large database (VLDB), data mining, media streaming and office applications by up to tenfold in real-world tests

Throughput, Smoothness Analysis of SCTP Over AODV and DSR MANET Routing Protocols

Mobile Ad hoc Network (MANET) is a wireless network of mobile-mobile node that has no fixed routers. In MANET, mobile nodes can communicate via the wireless interface while nodes are moving freely without using the network infrastructure. Each node in addition to functioning as a host, also serves as a router that can receive and forward packets to next the node. Nowadays existence of a new Internet protocol technology, that is, SCTP, the performance in a MANET Routing Protocol is still unknown. The general objective of this research is to analyze and make the comparative performance of Stream Control Transportation Protocol (SCTP) with Ad-hoc On-demand Distance Vector (AODV) and Dynamic Source Routing protocol (DSR) using Network Simulator(NS-2). Specifically, this research (1) to measure the behavior of SCTP in terms of throughput and smoothness and (2) to determine routing protocol in Mobile Ad-hoc Network (MANET) will have significant effect in SCTP. Internet Engineering Task Force (IETF) issued a new protocol called SCTP; the interaction of SCTP will be investigated through the examination of traffic flows through a number of network topologies. This research use Network Simulator 2 (NS-2), type of the traffic is CBR and packet size is 1000. This performance analysis is over MANET Routing Protocol that enables to analyst the several performance metrics such as Throughput and Smoothness. This topology consists of 16 nodes placed in a 1500m x 1500m rectangle because the researcher uses static topology, consisting of a 4x4 metric with SCTP transport layer and using routing protocol AODV and DSR. The data sent consists of five speeds at 5 m/s, 10 m/s, 15 m/s, 20 m/s, 25 m/s, and then these speeds are used in AODV and DSR simulation. Throughput of SCTP over AODV is highest than DSR and the smoothness of SCTP over DSR is highest than AODV depends on five types of speed. This research it was found that MANET did not have a great impact on the throughput of SCTP. In other words, MANET only amounted to 0-2% impact on the throughput of SCTP. Furthermore, the speed of node movement does not significantly affect the smoothness

A Centralized SDN Architecture for the 5G Cellular Network

In order to meet the increasing demands of high data rate and low latency cellular broadband applications, plans are underway to roll out the Fifth Generation (5G) cellular wireless system by the year 2020. This paper proposes a novel method for adapting the Third Generation Partnership Project (3GPP)'s 5G architecture to the principles of Software Defined Networking (SDN). We propose to have centralized network functions in the 5G network core to control the network, end-to-end. This is achieved by relocating the control functionality present in the 5G Radio Access Network (RAN) to the network core, resulting in the conversion of the base station known as the gNB into a pure data plane node. This brings about a significant reduction in signaling costs between the RAN and the core network. It also results in improved system performance. The merits of our proposal have been illustrated by evaluating the Key Performance Indicators (KPIs) of the 5G network, such as network attach (registration) time and handover time. We have also demonstrated improvements in attach time and system throughput due to the use of centralized algorithms for mobility management with the help of ns-3 simulations

De-ossifying the Internet Transport Layer : A Survey and Future Perspectives

ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers for their useful suggestions and comments.Peer reviewedPublisher PD