Reconfiguration Of Nodes Research Articles

Ultratough Supramolecular Polyurethane Featuring an Interwoven Network with Recyclability, Ideal Self-Healing and Editable Shape Memory Properties.

Developing multifunctional polymers with excellent mechanical properties, outstanding shape memory characteristics, and good self-healing properties is a formidable challenge. Inspired by the woven cross-linking strategy, a series of supramolecular polyurethane (PU) with an interwoven network structure composed of covalent and supramolecular cross-linking nodes have been successfully synthesized by introducing the ureido-pyrimidinone (UPy) motifs into the PU skeleton. The best-performing sample exhibited ultrahigh strength (∼77.2 MPa) and toughness (∼312.7 MJ m-3), along with an ideal self-healing efficiency (up to 90.8% for 6 h) and satisfactory temperature-responsive shape memory effect (shape recovery rates up to 96.9%). Furthermore, it ensured recyclability. These favorable properties are mainly ascribed to the effective dissipation of strain energy due to the disassembly and reconfiguration of supramolecular nodes (i.e., quadruple hydrogen bonds (H-bonds) between UPy units), as well as the covalent cross-linking nodes that maintain the integrity of the polymer network structure. Thus, our work provides a universal strategy that breaks through the traditional contradictions and paves the way for the commercialization of high-performance multifunctional PU elastomers.

Zebra: A cluster-aware blockchain consensus algorithm

The Consensus algorithm is the core of the permissioned blockchain, it directly affects the performance and scalability of the system. Performance is limited by the computing power and network bandwidth of a single leader node. Most existing blockchain systems adopt mesh or star topology. Blockchain performance decreases rapidly as the number of nodes increases. To solve this problem, we first design the n-k cluster tree and corresponding generation algorithm, which supports rapid reconfiguration of nodes. Then we propose the Zebra consensus algorithm, which is a cluster tree-based consensus algorithm. Compared to the PBFT, it has higher throughput and supports more nodes under the same hardware conditions. However, the tree network topology enhances scalability while also increasing latency among nodes. To reduce transaction latency, we designed the Pipeline-Zebra consensus algorithm that further improves the performance of blockchain systems in a tree network topology through parallel message propagation and block validation. The message complexity of the algorithm is O(n). Experimental results show that the performance of the algorithm proposed in this paper can reach 2.25 times that of the PBFT algorithm, and it supports four times the number of nodes under the same hardware.

Метод дистанційної діагностики, перепрограмування і реконфігурації вузлів вбудованої системи

The subject of study in this article is a method for remote diagnostics, reprogramming and reconfiguration of nodes of embedded and small-sized systems. The goal is to increase the reliability characteristics of systems built on the basis of microprocessor solutions. The task is: to consider the existing methods of communication of the MC set in the system with the possibility of specifying the requirements; consider and analyze the existing means of remote reprogramming of individual MCs as part of the target system; to consider methods of adding redundancy to the MC connection scheme for the possibility of reconfiguration; describe the elements of the method and sequence of development of systems that provide for the possibility of remote diagnostics, reprogramming and reconfiguration of their individual nodes. According to the tasks, the following results were obtained. The existing methods and equipment for communication of the MC set are analyzed. Possible technical solutions and theoretical foundations of intra-system reprogramming of system nodes based on MK are analyzed. The technical properties of one of the available industrial technologies, which contain crystals and development media, are presented, with the aim of finding properties that will allow expanding the capabilities of the created systems in terms of increasing reliability and energy efficiency. It is proposed to use a modified bootloader to organize the possibility of communication and reprogramming over one communication line. A set of steps is proposed for finding options for building a circuit with hardware redundancy. Conclusions. The idea of reprogramming and diagnostics of system nodes along one line using ready-made industrial components (COTS) based on microcontrollers and development tools is proposed, which makes it possible to make their development cheaper. The proposed elements of the method of remote diagnostics, reprogramming and reconfiguration of individual nodes of the built-in system based on MC. A practical example of the implementation of the concepts discussed in the article, including its reconfiguration, is presented; a diagram of the device before and after its reconfiguration is given. The practical significance of this research lies in the possibility of building and configuring a system from many separate nodes based on microcontrollers.

DACON: a reconfigurable application-centric optical network for disaggregated data center infrastructures [Invited

To solve the issues of low resource utilization and performance bottleneck in current server-centric data center networks (DCNs), we propose and experimentally demonstrate a disaggregated application-centric optical network (DACON) for data center infrastructures based on hybrid optical switches. DACON achieves flexible provision and dynamic reconfiguration of hardware nodes exploiting the softwared-define networking (SDN) orchestration plane. A four-node SDN-enabled disaggregated prototype is implemented with a field-programmable-gate-array-based controller of hardware nodes and nanosecond optical switches, performing a minimal node-to-node network latency of 378.6 ns and zero packet loss. Based on the unmodified Linux kernel and two different applications (distributed computing and a Memcached database), the application runtime of the disaggregated prototype is investigated and compared with the server-centric architecture. Experimental results show that the disaggregated prototype performs better with Memcached database applications, achieving a1.46×faster runtime than the server-centric network at a memory node access ratio of 0.9. Based on the customized control plane orchestrator and dynamic resource reallocation, the node-to-node latency is reduced by 21% when CPU nodes access memory nodes. The scalability of DACON is then numerically assessed based on experimentally measured parameters. Results show that the intra-rack node-to-node latency is less than 404.8 ns with a 6144-node network and memory node access ratio of 0.9. Finally, the cost and power consumption are also studied and compared with current DCN architectures. Results indicate DACON saves 13.4% of the cost of an interconnect network compared with current disaggregated architecture and consumes up to 31.1% less power with respect to server-centric DCN architectures.

Application of information communication network security management and control based on big data technology

SummaryWith the continuous development of communication technology and computer network technology and the continuous progress of social economy, information technology has penetrated into all aspects of people's lives. The basic task of communication network is to ensure the reliability and security of information transmission. Based on the above background, the purpose of this study is to study the application of information communication network security management and control based on big data technology. Based on the concept and management and control structure of information communication network, combined with the data collection and preprocessing in big data technology, this study analyzes the feasibility of big data technology applied in communication network management and control and expounds the specific application of big data technology from the four aspects of troubleshooting, security protection, business management, and resource allocation. At last, the test environment of information communication network security management and control platform based on big data technology is built in the laboratory to test the network management performance and routing transmission performance of the system. The experimental results show that the communication success rate of the information communication network security management and control platform based on big data technology remains to 91.78%. It can be seen from the test results that the information communication network security management and control platform based on big data technology can not only accurately collect sensor data but also have the function of real‐time monitoring network status and reconfiguration of nodes.

Changing global production network and its implication on Belt and Road Initiative

This editorial establishes the broader context for debating the great global convergence of world economic systems and the role of Belt and Road Initiative in shaping the reconfiguration of key global transport nodes and trade corridors. The interwoven relationships between various aspects of technological transformation, supply chain integration and demographic restructuring in shaping the global value chain and integrated production networks are theoretically and empirically probed in this special issue. The importance of technological innovation, and structural reforms are highlighted to help businesses to sustainably manage the growing supply chain complexity and the likely disruptions during the fourth industrial revolution.

Octopus: monitoring, visualization, and control of sensor networks

AbstractSensor network monitoring and control are currently addressed separately through specialized tools. However, the high degree of coupling of network state to the physical environment in which the network is deployed demands that users can monitor the network and respond to network state changes continuously. This paper presents the open‐source Octopus visualization and control tool. Octopus is a protocol‐independent tool that provides live information about the network topology and sensor data in order to enable live debugging of deployed sensor networks. It enables operators to reconfigure the network behavior, such as switching between time‐driven, event‐driven, and query‐driven modes or between awake and sleep modes of one, many, or all nodes through its graphical interface. Octopus also supports changing duty cycles of nodes, data reporting period, or sensing thresholds in event‐driven networks. Reconfiguration of nodes is achieved through short request messages that support typical reconfiguration options without the overhead of epidemically sending new program images over the air. Our empirical tests showcase Octopus's capacity to debug application behavior and to characterize heterogeneous network performance under multiple settings, as a step toward establishing a rules database that relates data delivery to network‐level parameters, and toward enabling autonomous network reconfiguration. Copyright © 2009 John Wiley & Sons, Ltd.

A high reliability two‐level fault tolerant mesh design and applications

Abstract This paper presents a novel technique for the enhancement of the operational reliability of processor arrays by a multi‐level fault‐tolerant design approach. The proposed fault tolerant architecture uses a flexible reconfiguration of redundant nodes, thereby offering a better spare utilization than existing two‐level redundancy schemes. The spare nodes at each level can replace any of the failed primary nodes, not only at the same level but also those at the lower levels. The architecture can be adopted to increase the system reliability in Multi Chip Modules (MCMs). The main contributions of our work are the higher degree of fault tolerance, higher overall reliability, higher flexibility, and a better spare utilization.

DESIGN OF A MULTI-LEVEL FAULT-TOLERANT MESH (MFTM) FOR HIGH RELIABILITY APPLICATIONS

This paper presents a novel technique for the enhancement of operational reliability of processor arrays by a multi-level fault-tolerant design approach. The key idea of the design is based on the well known hierarchical design paradigm. The proposed fault-tolerant architecture uses a flexible reconfiguration of redundant nodes, thereby offering a better spare utilization than existing two-level redundancy schemes. A variable number of spares is provided at each level of redundancy which enables a flexible reconfiguration as well as area efficient layouts and better spare utilization. The spare nodes at each level can replace any of the failed primary nodes, not only at the same level but also those at the lower levels. The architecture can be adopted to increase the system reliability in Multi Chip Modules (MCMs). The main contributions of our work are the higher degree of fault tolerance, higher overall reliability, flexibility, and a better spare utilization.