Network Bandwidth Changes Research Articles

Frontier

In an edge deployment model, Internet-of-Things (IoT) applications, e.g. for building automation or video surveillance, must process data locally on IoT devices without relying on permanent connectivity to a cloud backend. The ability to harness the combined resources of multiple IoT devices for computation is influenced by the quality of wireless network connectivity. An open challenge is how practical edge-based IoT applications can be realised that are robust to changes in network bandwidth between IoT devices, due to interference and intermittent connectivity. We present Frontier , a distributed and resilient edge processing platform for IoT devices. The key idea is to express data-intensive IoT applications as continuous data-parallel streaming queries and to improve query throughput in an unreliable wireless network by exploiting network path diversity : a query includes operator replicas at different IoT nodes, which increases possible network paths for data. Frontier dynamically routes stream data to operator replicas based on network path conditions. Nodes probe path throughput and use backpressure stream routing to decide on transmission rates, while exploiting multiple operator replicas for data-parallelism. If a node loses network connectivity, a transient disconnection recovery mechanism reprocesses the lost data. Our experimental evaluation of Frontier shows that network path diversity improves throughput by 1.3×−2.8×for different IoT applications, while being resilient to intermittent network connectivity.

Computation Partitioning for Mobile Cloud Computing in a Big Data Environment

The growth of mobile cloud computing (MCC) is challenged by the need to adapt to the resources and environment that are available to mobile clients while addressing the dynamic changes in network bandwidth. Big data can be handled via MCC. In this paper, we propose a model of computation partitioning for stateful data in the dynamic environment that will improve the performance. First, we constructed a model of stateful data streaming and investigated the method of computation partitioning in a dynamic environment. We developed a definition of direction and calculation of the segmentation scheme, including single-frame data flow, task scheduling, and executing efficiency. We also defined the problem for a multiframe data flow calculation segmentation decision that is optimized for dynamic conditions and provided an analysis. Second, we proposed a computation partitioning method for single-frame data flow. We determined the data parameters of the application model, the computation partitioning scheme, and the task and work order data stream model. We followed the scheduling method to provide the optimal calculation for data frame execution time after computation partitioning and the best computation partitioning method. Third, we explored a calculation segmentation method for single-frame data flow based on multiframe data using multiframe data optimization adjustment and prediction of future changes in network bandwidth. We were able to demonstrate that the calculation method for multiframe data in a changing network bandwidth environment is more efficient than the calculation method with the limitation of calculations for single-frame data. Finally, our research verified the effectiveness of single-frame data in the application of the data stream and analyzed the performance of the method to optimize the adjustment of multiframe data. We used a MCC platform prototype system for face recognition to verify the effectiveness of the method.

Development of News Publishing System Using DASH Standard

Because of the real-time change of network bandwidth, traditional news website seriously affects the quality of the experience of the user to watch the news video. Aiming at the above problems, this paper proposes a news publishing system based on DASH technology. Based on the basic functions of the news website, combined with the DASH technology, the client can request the appropriate rate of video segments to the server according to the current bandwidth, even if the network bandwidth changes in real time, the client can also smoothly play the news video. The verification results show that the system is practical and high quality of users watching the news video, and meets the needs of users on the news website.

An Energy-Efficient Multisite Offloading Algorithm for Mobile Devices

Computation offloading is a popular approach for reducing energy consumption of mobile devices by offloading computation to remote servers. Most of the prior work focuses on a limited form of offloading part of computation from a mobile device to a single server. However, with the advent and development of cloud computing, it is more promising for the mobile device to reduce energy consumption by offloading part of computation to multiple remote servers/sites. This paper proposes an Energy-Efficient Multisite Offloading (EMSO) algorithm, which formulates the multiway partitioning problem as the 0-1 Integer Linear Programming (ILP) problem. Moreover, our proposed EMSO algorithm adopts the multi-way graph partitioning based algorithm to solve it. Experimental results demonstrate that our algorithm can significantly reduce more energy consumption as well as execution time and better adapt to the unreliability of wireless networks (such as the network bandwidth changes), compared with the existing algorithms.

Data Communications for Internet Robots

For Internet robots, the most challenging and distinct difficulties are well recognized to be associated with Internet transmission delays, delay jitter and not-guaranteed bandwidth, which might degrade system performance dramatically or even lead to instability. Current approaches to data communication between the remote robot and the human operator employ directly one of the two currently available protocols, i.e. TCP and UPD. In this paper, a teleoperation-oriented data transmission mechanism is implemented. Compared to TCP, the presented scheme provides minimized transmission delays and delay jitters in the steady state, its transmission rate is much smoothers when available network bandwidth changes, it adapts to the variation quickly without large overshoot. Compared to UDP, it is inter-protocol fairness convergent, intro-protocol convergent, and efficient convergent. The presented mechanism is deployed in a mobile robot teleoperation system developed. In the experiments, users successfully guided a Pioneer-2 mobile robot through a laboratory environment remotely over the Internet via a web browser.