High-performance Data Delivery Research Articles

Agent-Based Multipath Management for Supporting Sink Mobility in Wireless Sensor Networks

In wireless sensor networks, sink mobility support is one of the essential functionalities in many applications. With continuous advancement, future applications will require not only sink mobility support but also high-performance data delivery service. Multipath routing is one of the promising technologies for improving data delivery performance by collaboratively using alternative or redundant multiple routing paths. However, existing multipath routing protocols had not dealt with sink mobility. As a result, they lead to bad performance in terms of energy efficiency due to the end-to-end path reconstruction. Consequently, a novel multipath management scheme is required thereby supporting sink mobility without performance degradation. In this paper, we propose a multipath management scheme for supporting sink mobility. The proposed scheme dynamically constructs multipath along the moving path of a sink. In addition, the proposed scheme provides the path shortening schemes according to the sink’s movement for reducing energy consumption. Our simulation results show that the proposed scheme is superior to existing path management schemes in terms of reliability and energy efficiency.

Real-Time QoS-Aware Vehicle Tracking: An Experimental and Comparative Study

Abstract Recently, web service became popular for Real-time Communication (RTC). It allows bi-directional, real-time communication between web clients and server. On the other hand, Data Distribution Service (DDS) middleware offers unified integration with high-performance due to its scalability, flexibility, real-time, mission-critical networks and rich QoS features. DDS is based on the publish/subscribe communication model. It improves RTC through its efficient and high-performance data delivery mechanism. This paper studies and investigates that how DDS is better for RTC. Experimental studies are conducted to compare text messaging using socket IO over DDS Web API. The result concerns the throughput satisfaction rate, round trip time and packet loss. In addition, we consider some of QoS of DDS during experimental work e.g. deadline, time based filter etc.

Real-Time QoS-Aware Video Streaming: A Comparative and Experimental Study

Due to its flexibility, scalability, real-time, and rich QoS features, Data Distribution Service (DDS) middleware provides seamless integration with high-performance, real-time, and mission-critical networks. Unlike traditional client-server communication models, DDS is based on the publish/subscribe communication model. DDS improves video streaming quality through its efficient and high-performance data delivery mechanism. This paper studies and investigates how DDS is suitable for streaming real-time full-motion video over a communication network. Experimental studies are conducted to compare video streaming using a the VLC player with the DDS overlay. Our results depict the superiority of DDS in provisioning quality video streams at the cost of low network bandwidth. The results also show that DDS is more scalable and flexible and is a promised technology for video distribution over IP networks where it uses much less bandwidth while maintaining high quality video stream delivery.

TPF: TCP Plugged File System for Efficient Data Delivery over TCP

Most Internet services, including Web, FTP, and streaming, have been realized on top of TCP, which is the de facto protocol for data delivery over the Internet. Therefore, in order to achieve high-performance data delivery over TCP, we thoroughly analyze TCP-based data delivery and identify three critical mismatches in a general file system design while-supplying data to TCP. The first is the frequent sleeping/waking up of a server process that accompanies excessive context switching overheads due to processing TCP data and ACK segments in different contexts. The second is the inefficient uniform data prefetching for TCP connections, irrespective of their characteristics such as bandwidth, latency, and the status of a send buffer. The third is inefficient disk access due to the ignorance of abrupt changes in TCP connections. As a remedy to these mismatches, we newly design a TCP-plugged file system (TPF) which is comprised of three novel mechanisms, each of which relieves the identified mismatches, integrated data sending routine, TCP aware data prefetching, and eager disk request cancellation. With these mechanisms, TPF becomes capable of supplying data managed by a file system to TCP connections timely and seamlessly and becomes reactive to abrupt changes in TCP connections. As a consequence, TPF provides minimal context switching overhead, high buffer utilization, and highly effective disk access utilization. We have implemented and tested the mechanisms in Linux 2.4. The experimental results show that the number of context switching is reduced by up to 40 percent and the overall system performance is improved by 3-34 percent

Quanta: a toolkit for high performance data delivery over photonic networks

Quanta is a cross-platform adaptive networking toolkit for supporting the data delivery requirements of interactive and bandwidth intensive applications, such as Amplified Collaboration Environments. One of the unique goals of Quanta is to provide applications with the ability to provision optical pathways (commonly referred to as Lambdas) in dedicated photonic networks. This paper will introduce Quanta’s architecture and capabilities, with particular attention given to its aggressive and predictable high performance data transport scheme called Reliable Blast UDP (RBUDP). We provide an analytical model to predict RBUDP’s performance and compare the results of our model against experimental results performed over a high speed wide-area network.