End-Point Resource Admission Control for Remote Control Multimedia Applications

One goal in certain classes of networked multimedia applications, such as full-feedback remote control, is to provide end-to-end guarantees. To achieve guarantees, all resources along the path(s) between the resource(s) and sink(s) must be controlled. Resource availability is checked by the admission service during the call establishment phase. Current admission services control only network resources such as bandwidth and network delay. To provide end-to-end guarantees, the networked applications also need operation system resources and I/O devices at the endpoints. All such resources must be included in a robust admission process. By integrating the end-point resources, we observed several dependencies which force changes in admission algorithms designed and implemented for control of a single resource. We have designed and implemented the multi-level admission service within our Omega architecture which controls the availability of end-point resources needed in remote control multimedia applications such as telerobotics

Transition of Campus Network to IP Next Generation

This work was conducted to define the necessity and feasibility of transition of the campus network for Oklahoma State University to IP Next Generation. IP Next Generation, or IPng, is a new protocol designed as a successor to the current version of IPv4 used in networking. Due to problems with addressing space and routing tables, IPv4 is in need of replacement. IPng comes as a solution to the problems related to IPv4. Increased addressing space from 32 to 128 bits ensures adequate space for growth of the Internet, improved design provides a potential for better performance of routers working with the Internet Protocol. It was concluded that the tunneling procedure does not impose much overhead in transition from IPv4 to IPv6. A plan of introducing IPv6 on the OSU campus was presented

An investigation of protocol command translation as a means to enable interoperability between networked audio devices

Digital audio networks allow multiple channels of audio to be streamed between devices. This eliminates the need for many different cables to route audio between devices. An added advantage of digital audio networks is the ability to configure and control the networked devices from a common control point. Common control of networked devices enables a sound engineer to establish and destroy audio stream connections between networked devices that are distances apart. On a digital audio network, an audio transport technology enables the exchange of data streams. Typically, an audio transport technology is capable of transporting both control messages and audio data streams. There exist a number of audio transport technologies. Some of these technologies implement data transport by exchanging OSI/ISO layer 2 data frames, while others transport data within OSI/ISO layer 3 packets. There are some approaches to achieving interoperability between devices that utilize different audio transport technologies. A digital audio device typically implements an audio control protocol, which enables it process configuration and control messages from a remote controller. An audio control protocol also defines the structure of the messages that are exchanged between compliant devices. There are currently a wide range of audio control protocols. Some audio control protocols utilize layer 3 audio transport technology, while others utilize layer 2 audio transport technology. An audio device can only communicate with other devices that implement the same control protocol, irrespective of a common transport technology that connects the devices. The existence of different audio control protocols among devices on a network results in a situation where the devices are unable to communicate with each other. Furthermore, a single control application is unable to establish or destroy audio stream connections between the networked devices, since they implement different control protocols. When an audio engineer is designing an audio network installation, this interoperability challenge restricts the choice of devices that can be included. Even when audio transport interoperability has been achieved, common control of the devices remains a challenge. This research investigates protocol command translation as a means to enable interoperability between networked audio devices that implement different audio control protocols. It proposes the use of a command translator that is capable of receiving messages conforming to one protocol from any of the networked devices, translating the received message to conform to a different control protocol, then transmitting the translated message to the intended target which understands the translated protocol message. In so doing, the command translator enables common control of the networked devices, since a control application is able to configure and control devices that conform to different protocols by utilizing the command translator to perform appropriate protocol translation

A high speed fault-tolerant multimedia network and connectionless gateway for ATM networks.

by Patrick Lam Sze Fan.Thesis (M.Phil.)--Chinese University of Hong Kong, 1997.Includes bibliographical references (leaves 163-[170]).Chapter 1 --- Introduction --- p.1Chapter 2 --- Fault-tolerant CUM LAUDE NET --- p.7Chapter 2.1 --- Overview of CUM LAUDE NET --- p.7Chapter 2.2 --- Network architecture of CUM LAUDE NET --- p.8Chapter 2.3 --- Design of Router-node --- p.10Chapter 2.3.1 --- Architecture of the Router-node --- p.10Chapter 2.3.2 --- Buffers Arrangement of the Router-node --- p.12Chapter 2.3.3 --- Buffer transmission policies --- p.13Chapter 2.4 --- Protocols of CUM LAUDE NET --- p.14Chapter 2.5 --- Frame Format of CUM LAUDE NET --- p.15Chapter 2.6 --- Fault-tolerant (FT) and Auto-healing (AH) algorithms --- p.16Chapter 2.6.1 --- Overview of the algorithms --- p.16Chapter 2.6.2 --- Network Failure Scenarios --- p.18Chapter 2.6.3 --- Design and Implementation of the Fault Tolerant Algorithm --- p.19Chapter 2.6.4 --- Design and Implementation of the Auto Healing Algorithm --- p.26Chapter 2.6.5 --- Network Management Signals and Restoration Times --- p.27Chapter 2.6.6 --- Comparison of fault-tolerance features of other networks with the CUM LAUDE NET --- p.31Chapter 2.7 --- Chapter Summary --- p.31Chapter 3 --- Overview of the Asynchronous Transfer Mode (ATM) --- p.33Chapter 3.1 --- Introduction --- p.33Chapter 3.2 --- ATM Network Interfaces --- p.34Chapter 3.3 --- ATM Virtual Connections --- p.35Chapter 3.4 --- ATM Cell Format --- p.36Chapter 3.5 --- ATM Address Formats --- p.36Chapter 3.6 --- ATM Protocol Reference Model --- p.38Chapter 3.6.1 --- The ATM Layer --- p.39Chapter 3.6.2 --- The ATM Adaptation Layer --- p.39Chapter 3.7 --- ATM Signalling --- p.44Chapter 3.7.1 --- ATM Signalling Messages and Call Setup Procedures --- p.45Chapter 3.8 --- Interim Local Management Interface (ILMI) --- p.47Chapter 4 --- Issues of Connectionless Gateway --- p.49Chapter 4.1 --- Introduction --- p.49Chapter 4.2 --- The Issues --- p.50Chapter 4.3 --- ATM Internetworking --- p.51Chapter 4.3.1 --- LAN Emulation --- p.52Chapter 4.3.2 --- IP over ATM --- p.53Chapter 4.3.3 --- Comparing IP over ATM and LAN Emulation --- p.59Chapter 4.4 --- Connection Management --- p.61Chapter 4.4.1 --- The Indirect Approach --- p.62Chapter 4.4.2 --- The Direct Approach --- p.63Chapter 4.4.3 --- Comparing the two approaches --- p.64Chapter 4.5 --- Protocol Conversion --- p.65Chapter 4.5.1 --- Selection of Protocol Converter --- p.68Chapter 4.6 --- Packet Forwarding Modes --- p.68Chapter 4.7 --- Bandwidth Assignment --- p.70Chapter 4.7.1 --- Bandwidth Reservation --- p.71Chapter 4.7.2 --- Fast Bandwidth Reservation --- p.72Chapter 4.7.3 --- Bandwidth Advertising --- p.72Chapter 4.7.4 --- Bandwidth Advertising with Cell Drop Detection --- p.73Chapter 4.7.5 --- Bandwidth Allocation on Source Demand --- p.73Chapter 4.7.6 --- The Common Problems --- p.74Chapter 5 --- Design and Implementation of the Connectionless Gateway --- p.77Chapter 5.1 --- Introduction --- p.77Chapter 5.1.1 --- Functions Definition of Connectionless Gateway --- p.79Chapter 5.2 --- Hardware Architecture of the Connectionless Gateway --- p.79Chapter 5.2.1 --- Imposed Limitations --- p.82Chapter 5.3 --- Software Architecture of the Connectionless Gateway --- p.83Chapter 5.3.1 --- TCP/IP Internals --- p.84Chapter 5.3.2 --- ATM on Linux --- p.85Chapter 5.4 --- Network Architecture --- p.88Chapter 5.4.1 --- IP Addresses Assignment --- p.90Chapter 5.5 --- Internal Structure of Connectionless Gateway --- p.90Chapter 5.5.1 --- Protocol Stacks of the Gateway --- p.90Chapter 5.5.2 --- Gateway Operation by Example --- p.93Chapter 5.5.3 --- Routing Table Maintenance --- p.97Chapter 5.6 --- Additional Features --- p.105Chapter 5.6.1 --- Priority Output Queues System --- p.105Chapter 5.6.2 --- Gateway Performance Monitor --- p.112Chapter 5.7 --- Setup an Operational ATM LAN --- p.117Chapter 5.7.1 --- SVC Connections --- p.117Chapter 5.7.2 --- PVC Connections --- p.119Chapter 5.8 --- Application of the Connectionless Gateway --- p.120Chapter 6 --- Performance Measurement of the Connectionless Gateway --- p.121Chapter 6.1 --- Introduction --- p.121Chapter 6.2 --- Experimental Setup --- p.121Chapter 6.3 --- Measurement Tools of the Experiments --- p.123Chapter 6.4 --- Descriptions of the Experiments --- p.124Chapter 6.4.1 --- Log Files --- p.125Chapter 6.5 --- UDP Control Rate Test --- p.126Chapter 6.5.1 --- Results and analysis of the UDP Control Rate Test --- p.127Chapter 6.6 --- UDP Maximum Rate Test --- p.138Chapter 6.6.1 --- Results and analysis of the UDP Maximum Rate Test --- p.138Chapter 6.7 --- TCP Maximum Rate Test --- p.140Chapter 6.7.1 --- Results and analysis of the TCP Maximum Rate Test --- p.140Chapter 6.8 --- Request/Response Test --- p.144Chapter 6.8.1 --- Results and analysis of the Request/Response Test --- p.144Chapter 6.9 --- Priority Queue System Verification Test --- p.149Chapter 6.9.1 --- Results and analysis of the Priority Queue System Verifi- cation Test --- p.150Chapter 6.10 --- Other Observations --- p.153Chapter 6.11 --- Solutions to Improve the Performance --- p.154Chapter 6.12 --- Future Development --- p.157Chapter 7 --- Conclusion --- p.158Bibliography --- p.163A List of Publications --- p.17

QoS-aware architectures, technologies, and middleware for the cloud continuum

The recent trend of moving Cloud Computing capabilities to the Edge of the network is reshaping how applications and their middleware supports are designed, deployed, and operated. This new model envisions a continuum of virtual resources between the traditional cloud and the network edge, which is potentially more suitable to meet the heterogeneous Quality of Service (QoS) requirements of diverse application domains and next-generation applications. Several classes of advanced Internet of Things (IoT) applications, e.g., in the industrial manufacturing domain, are expected to serve a wide range of applications with heterogeneous QoS requirements and call for QoS management systems to guarantee/control performance indicators, even in the presence of real-world factors such as limited bandwidth and concurrent virtual resource utilization. The present dissertation proposes a comprehensive QoS-aware architecture that addresses the challenges of integrating cloud infrastructure with edge nodes in IoT applications. The architecture provides end-to-end QoS support by incorporating several components for managing physical and virtual resources. The proposed architecture features: i) a multilevel middleware for resolving the convergence between Operational Technology (OT) and Information Technology (IT), ii) an end-to-end QoS management approach compliant with the Time-Sensitive Networking (TSN) standard, iii) new approaches for virtualized network environments, such as running TSN-based applications under Ultra-low Latency (ULL) constraints in virtual and 5G environments, and iv) an accelerated and deterministic container overlay network architecture. Additionally, the QoS-aware architecture includes two novel middlewares: i) a middleware that transparently integrates multiple acceleration technologies in heterogeneous Edge contexts and ii) a QoS-aware middleware for Serverless platforms that leverages coordination of various QoS mechanisms and virtualized Function-as-a-Service (FaaS) invocation stack to manage end-to-end QoS metrics. Finally, all architecture components were tested and evaluated by leveraging realistic testbeds, demonstrating the efficacy of the proposed solutions

ANALYSIS OF DATA & COMPUTER NETWORKS IN STUDENTS' RESIDENTIAL AREA IN UNIVERSITI TEKNOLOGI PETRONAS

In Universiti Teknologi Petronas (UTP), most of the students depend on the Internet and computer network connection to gain academics information and share educational resources. Even though the Internet connections and computers networks are provided, the service always experience interruption, such as slow Internet access, viruses and worms distribution, and network abuse by irresponsible students. Since UTP organization keeps on expanding, the need for a better service in UTP increases. Several approaches were put into practice to address the problems. Research on data and computer network was performed to understand the network technology applied in UTP. A questionnaire forms were distributed among the students to obtain feedback and statistical data about UTP's network in Students' Residential Area. The studies concentrate only on Students' Residential Area as it is where most of the users reside. From the survey, it can be observed that 99% of the students access the network almost 24 hours a day. In 2005, the 2 Mbps allocated bandwidth was utilized 100% almost continuously but in 2006, the bottleneck of Internet access has reduced significantly since the bandwidth allocated have been increased to 8 Mbps. Server degradation due to irresponsible acts by users also adds burden to the main server. In general, if the proposal to ITMS (Information Technology & Media Services) Department for them to improve their Quality of Service (QoS) and established UTP Computer Emergency Response Team (UCert), most of the issues addressed in this report can be solved

Kommunikation und Bildverarbeitung in der Automation

In diesem Open-Access-Tagungsband sind die besten Beiträge des 9. Jahreskolloquiums "Kommunikation in der Automation" (KommA 2018) und des 6. Jahreskolloquiums "Bildverarbeitung in der Automation" (BVAu 2018) enthalten. Die Kolloquien fanden am 20. und 21. November 2018 in der SmartFactoryOWL, einer gemeinsamen Einrichtung des Fraunhofer IOSB-INA und der Technischen Hochschule Ostwestfalen-Lippe statt. Die vorgestellten neuesten Forschungsergebnisse auf den Gebieten der industriellen Kommunikationstechnik und Bildverarbeitung erweitern den aktuellen Stand der Forschung und Technik. Die in den Beiträgen enthaltenen anschaulichen Beispiele aus dem Bereich der Automation setzen die Ergebnisse in den direkten Anwendungsbezug