Design Of Distributed Architecture Research Articles

Deep Learning Distributed Architecture Design Implementation for Computer Vision

In the era of big data, to achieve an efficient deep learning and computer vision system for big data, developers need to build a computerized deep learning and computer vision system, and the system can simultaneously complete the tasks of deep learning and computer vision and large-scale data processing. The existing training dataset is reused, and the scene information is small, which cannot meet the needs of large-scale machine training, so it is necessary to include large-scale data, distributed computer system to complete the training. How to meet the training accuracy requirements of deep learning models and minimize the resource cost within the constrained time is a major challenge for distributed deep learning systems. Resource and batch size hyperparameter allocation are the main approaches to optimize the training accuracy and resource cost of models. Existing works have independently configured resources and batch size hyperparameters in terms of computational efficiency and training accuracy, respectively. However, the impact of the two types of configurations on model training accuracy and resource cost has complex dependencies, and it is difficult to achieve the goals of satisfying the model training accuracy requirements and minimizing the resource cost simultaneously by the existing independent configuration methods. To address these problems, this paper proposes a collaborative resource-batch size optimization configuration method for distributed deep learning systems. This method was firstly based on the monotonic function relationship between resource allocation and batch size hyperparameter allocation and model training time and training accuracy, and we select the order-preserving regression theoretical tool to build a model prediction model for single-round complete training time and final training accuracy for computer vision target classification and recognition, respectively; then, we use the abovementioned models together to solve the resource and batch size optimal allocation solutions to meet the model training accuracy requirements with the goal of minimizing resource cost. The optimal allocation of resources and batch size to meet the training accuracy requirements of the model is solved. In this paper, we evaluate the performance of the proposed method for computer vision target recognition based on the proposed distributed deep learning system.

Internet of Things (IoT): Classification, Secured Architecture Based on Data Sensitivity, Security Issues and Their Countermeasures

In recent decades, the communication of electronic equipment and physical resources is combined. Internet of Things (IoT) distributes things widely in the network. The IoT is Internet-based pervasive computing, which created significant development in the recent disposition of IoT infrastructures. The IoT infrastructures lead, manage and generate large amounts of data across various applications including environmental, transportation and healthcare monitoring. In this regard, there are salient uncertainties about the use of security concepts that are frequently measured as a major concern of IoT distributed architecture design. This paper mainly focuses on the classification of IoT, novel architecture considering the sensitivity of data, IoT security layers, review of security issues and acclaimed countermeasures.

Modeling of Reef Distributed Reconnaissance and Early Warning System Based on DoDAF

In view of the new requirements of the reconnaissance and early warning system in the complex battlefield environment, a distributed architecture design method for the early warning and reconnaissance of reefs is proposed. This paper presents the design process of DoDAF based distributed reconnaissance and early warning architecture framework for reefs, constructs the architecture model of specific operational activities by using TD-CAP software, describes the relationship between various combat platforms from different perspectives through different views, and evaluates the consistency and operational effectiveness of the distributed detection and early warning system. The evaluation results show that the model has good integrity and consistency, and the combat effectiveness is significantly improved compared with the non distributed reconnaissance and early warning system.

Towards IEC 61499-Based Distributed Intelligent Automation: A Literature Review

The IEC 61499 standard was proposed for distributed architecture design of industrial automation systems to support portability, interoperability, and configurability. Compared with the traditional IEC 61131-3 standard, it provides an open reference architecture with some key features-object-oriented modeling by using function blocks as basic elements and event-driven execution by using data/events as inputs/outputs. In order to make IEC 61499 more applicable in industrial practices, researchers have been focusing on its transformation methods, modeling techniques, and implementation tools over the past years. In this article, three major issues are discussed through analysis of recent research: 1) how existing systems programmed in IEC 61131-3 can be transitioned to IEC 61499-based systems; 2) how IEC 61499 has integrated with enabling technologies for distributed intelligent automation; and 3) how engineering environments for IEC 61499 have been implemented. In detail, the article starts with challenges in the transition to and methods of transformation to IEC 61499-based systems, goes further into design and computing paradigms for IEC 61499 function block modeling, and ends with developments and applications of IEC 61499 engineering environments. Discussions and future research trends are outlined as a conclusion.

Distributed Architecture Optimal Design for Aircraft Thrust Management System with Safety Method

In order to ensure the safety and reliability of aircraft thrust management system design and reduce the risk of engineering development, the distributed optimization architecture design based on the aircraft safety method for thrust management system has been put forward in this paper. First, the thrust management function requirement is analysed; second, the distributed architecture design method for thrust management is presented by following the SAE ARP4754 and ARP4761; then the automatic take-off thrust control system function which is not available in Airbus and Boeing civil aircraft thrust management architecture is designed by using this method. The results show that the method proposed in this paper is feasible and effective. The usage efficiency of airborne computer is improved and the aircraft weight is decreased, which greatly enhanced the safety and reliability of aircraft thrust management system.

Designing Enterprise Client/Server Systems

B. Gold-Bernstein and D. Marca Prentice Hall, Upper Saddle River, NJ, 1998, 360 pp. ISBN 0-13-890195-3, $45.00 Client/servers systems represent the vast majority of enterprise software. Yet over 80% of these projects fail. This book presents a concrete design method that provides for reliable design and implementation of multi-tier client/server systems. This book is organized into five basic parts: Context for Understanding Distributed Client/Server Systems Business Components—The Essential Model Software Components—The Implementation Model Organizational Enablers Case Study In Part 1, Chapter 1 answers the question: Why build client/server systems? by giving a general context roadmap, discussing why businesses are under pressure to change, how legacy systems inhibit change, why client/server systems enable change. What is new and not new in client/server systems, and the importance of good design and modeling are also presented. Chapter 2 discusses all aspects of models and modeling in general, including a definition of the basic structure of a model. Chapter 3 presents the Illumisys Design Method, a specific event- and object-based method for developing distributed client/server systems. In Part 2, the first stage of the Illumisys Design Method, the business requirements, are covered. Chapter 4 provides an overview on a rigorous and formal model for business requirements, termed the Essential Model. Chapter 5 discusses the Environmental Aspect—how a system interacts with the outside world and how boundaries are defined. The organization of the rules which drive the business are encompassed in the Information Aspect and are discussed in Chapter 6. This chapter is careful to note the differences between the Information Aspect and a Database Model. Chapter 7 describes the Bridge Aspect, which is a consistency component that insures that the Environmental Aspect and the Information Aspect are describing a single system. The Behavioral Aspect, as described in Chapter 8, brings together further all previously defined aspects and provides detailed descriptions of responses to specific events. Chapter 9 discusses the Event Distribution Aspect, which describes the geographical distribution of the business events—where business events actually occur. However, there are additional factors that can affect system partitioning, such as performance goals and processing volumes. Chapter 10 describes the Component Measurement Aspect, which encapsulates the natural rhythms and cycles of the business. In Part 3, the design of the distributed architecture implementation is described. Chapter 11 presents an overview of the Implementation Model, which maps the business events and responses defined in the Essential Model to the distributed architecture. A Statement of Design Metrics, which determines design tradeoffs and is used to partition the essential requirements across the distributed processor architecture, is discussed in Chapter 12. The Multi-Tier Partitioning Aspect is described in Chapter 13. Multi-tier partitioning enables: data encapsulation, granular business rules, component application architecture, and scalability. Selecting the appropriate technology, such as processors and tools, is a critical aspect of distributed architecture design. Chapter 14 defines five steps of the Technical Architecture Design that is appropriate for enterprise architecture planning. The Processor Distribution Aspect, as described in Chapter 15, provides the specifications of the software granules that will operate on each processor, and these specifications are used to build the software components. Having defined the processing and data distribution design, Chapter 16 describes the Geographical Distribution Aspect, which maps processors to geographical location. Chapter 17 defines Traffic Analysis, which measures the message traffic between processors as well as the contention on individual processors. In Part 4, an overall plan to enable change to the system is described. Organizational enablers are used and include: organizational architecture, process management, and organizational transformation. Chapter 18 describes an Organizational Architecture that easily adapts to changes in the business environment. Designing client/server systems requires a strategy for identifying and managing concurrent activities. Process Management, as described in Chapter 19, synchronizes all concurrent activities and ensures that the system delivers the required functionality. The last aspect of the Organizational enablers deals with the transformation required by business. Chapter 20 deals with Organizational Transformation—a process required to enable business change. In Part 5, all of the models are brought together to show, from beginning to end, how the Illumisys Design Method is applied to a specific business situation. This is accomplished via a case study (Fleury Market). Chapter 21 provides necessary background for the case study. Chapters 22 and 23 contain, respectively, all components for the Essential Model and the Implementation Model for the case study. Overall, the book is well written and easy to understand. This book would be an important addition for anyone interested in designing and implementing a client/server system in a business environment. This book would also be appropriate for an advanced database or special topics course. James P. Buckley Department of Computer Science University of Dayton

Advanced Traffic Management System automation

The Transportation Systems Center (TSC) of the US Department of Transportation utilized state-of-the-art advancements and pioneered automation concepts in delivering the Enhanced Traffic Management System (ETMS), which is serving the nationwide needs of the Federal Aviation Administration's (FAA's) Traffic Management System. The author describes a multiple-part computer complex that supports new concept developments while permitting tested concepts and newly automated functions to be quickly implemented and used operationally by the FAA in daily traffic management activities. Noting the impact of ETMS, an explanation of traffic management functions highlights the role of automation. A description of the five-phase TSC R&D program is followed by explanations of the innovative aircraft situation display and how the ETMS works. The ETMS distributed architecture design, redundancy, networking, and fail-safe characteristics are presented, leading up to the achievement of a compressed life cycle to operational service. The author highlights design factors contributing significantly to rapid development, low cost, flexible system design, operational integrity, and timely operational enhancements.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Networking Your Computer Lab: Benefits And Pitfalls

Local area networks (LANs) are probably the most flexible and adaptable to customizing communications systems. LANs can virtually fit any location/site requirements. They can be tailored for any number of users, any application type and any cost/performance ratio. LANs can work with small (micro computers), medium (mini computers) and large/complex (mainframe) systems. This great flexibility which is due to several factors like, distributed architecture design, software standards, and hardware independence technology make LANs easy to use in a computer laboratory environment. Currently, many hospitality institutions are investigating the feasibility of using LANs in their computer laboratory. However, LANs are still costly, and sometimes difficult to install.