АНАЛІЗ МЕТОДІВ УПРАВЛІННЯ ПРОЦЕСАМИ ПЕРЕДАЧІ ДАНИХ ТА ТРАФІКОМ У МУЛЬТИСЕРВІСНИХ КОМП’ЮТЕРНИХ МЕРЕЖАХ

Traffic congestion is a significant problem in many cities in India and other countries. Failure of signals, poor law enforcement, and bad traffic management have led to traffic congestion. One of the major problems with Indian cities is that the existing infrastructure cannot be expanded more, and thus, the only option available is better traffic management. Traffic congestion hurts the economy, the environment, and the overall quality of life. Hence, it is high time we effectively managed the traffic congestion problem. There are various methods available for traffic management, such as video data analysis, infrared sensors, inductive loop detection, wireless sensor networks, etc. All these methods are effective methods of intelligent traffic management. However, the problem with these systems is that the installation time and the cost incurred for installing and maintaining the system are very high. Hence, a new technology called Radio Frequency Identification (RFID) is introduced, which can be coupled with the existing signaling system and act as a key to intelligent traffic management in real-time. This new technology will require less time for installation and will have fewer costs compared to other methods of traffic congestion management. The use of this new technology will lead to reduced traffic congestion. Bottlenecks will be detected early, so early preventive measures can be taken, thus saving the driver time and money.

This paper discusses resource management system of netted radar focusing on all the controllable resources in the network, and designs an effective architecture which includes resource management function, information management function, service management function, radar control function and efficiency analysis function. The proposed architecture is comprehensive and systematic for realization and application of airborne radar network resource management. Moreover, it is totally an integrated closed-loop control system. In addition, a significant interaction between managers and control system is fully considered in this paper.

The deregulation of the global telecommunication industry has seen a change in the business and operational environment in which services are deployed and managed. The requirements have intensified to provide a management framework for telecommunication networks and services across multiple technology domains and using multiple management technologies. This paper describes an integrated TMN service management architecture that provides an environment for different service management functions and different management domains to be integrated. To further substantiate this architecture, a system was built to demonstrate the integration concepts. The research and development work reported in this paper focuses on the following two aspects of integration: first the integration between TMN network and service management functions; and next the integration between different service management functions. A proof of concept system was developed to demonstrate such integration. It consists of the following components: Generic service ordering and provisioning; connection management based on a generic network model concept; and service management based upon service level agreement management and customer service management concepts. This paper reports this work and the experiences gained from this research.

There are several efforts to explore employing drones to replace ground transportation in cities. However, this would mean that the expected traffic densities would be significantly higher than existing air traffic management. A decentralised system for traffic management may be necessary in this future because (1) not all airspace actors will want to freely share data, (2) the uncertainty of missions due to wind or other factors could make a previous plan inoperable, and (3) the ad hoc nature of urban missions makes them difficult to plan in advance. This work focuses on the challenges of drone operations within constrained urban airspace. We define constrained airspace as a virtual network overlaid on the physical environment, where tall buildings and urban infrastructure dictate the allowed routes. Drones are restricted to flying within this virtual network, either above the existing street network or along other predetermined segments. A dynamic and decentralised traffic management method is presented. The method uses current aggregate flow data to identify and alter the cost of travelling through high-density clusters. The goal is to reduce local traffic density and complexity by encouraging alternate routes. Three different clustering strategies are presented that look at the current position of aircraft and recent safety events. The dynamic traffic management method is first illustrated with two simple example scenarios. Then an experiment is conducted with different traffic demand levels within the city of Rotterdam. It was observed that when using traffic complexity indicators, the method is able to reduce safety events by 30 percent while only increasing the distance travelled by 6 percent.

This paper presents a Capability Ontology (CapOnt) and a rule-based reasoning mechanism, which support service management within adaptable service systems. The ontology concepts comprise capability types, capability parameters and service management functions related to capabilities. Capability parameter values can be defined by constraints on other capability parameters. The service management functions included in the ontology are Capability Administration, Capability Configuration, Capability Allocation and Capability Performance Diagnosis. The service management functions are defined by rules consisting of constraints and management actions. The ontology concepts are represented in OWL (Web Ontology Language) and OWL/XDD (XML Declarative Description Language) - a rule-oriented knowledge representation. An intelligent conference room example with simulation results, that demonstrates the CapOnt and the rule-based reasoning, is also presented.

Background : Medical records are managed based on a standard structure, provided that the implementation system is evaluated to produce information and has a confidentiality standard that must be maintained. The medical record document is in principle stored properly in the hospital so that it is easy to retrieve every service information need for patients.
 Objective : To find out how the implementation of service procedures and management functions as well as the implementation of medical records at the Selogiri Muhammadiyan Hospital.
 Methods : The type of research used in this study is descriptive with a qualitative approach. While the research design used is phenomenology.
 Results : The management system of medical record data at Muhammadiyah Selogiri Hospital which includes assembling, coding and indexing, analizing and reporting, filing. The medical record system in the Wonogiri Selogiri Muhammadiyah Hospital includes: The Naming System uses the patient's own name in accordance with valid identification such as KTP, birth certificate, SIM, etc. The numbering system uses the Unit Numbering System (UNS). The system uses the Digit Filing (TDF) and Straight Numerical Filing (SNF) terminals.
 Conclusion : It is necessary to incorporate the SNF alignment system into the TDF alignment system as a whole to facilitate and accelerate the retrieval of medical record documents. Filling officers need to increase accuracy in storing medical record documents so that missfile does not occur frequently.
 
 Keywords : Procedure Flow, Procedure of Service and Management Functions, Medical Record Implementation

Classification Investigations of Traffic Management Schemes Having Conflict Loading at the Signal-controlled Road Junctions

This article examines the methodology for determining the viability of implementing dedicated lanes for public transport in urban settings from the perspectives of management and economics. The criteria for effective in-frastructure are delineated, and the management process associated with the algorithm and relevant divisions is represented. An economic assessment of the efficiency of dedicated lanes was conducted, and this particu-lar method of traffic management has been analyzed as a separate approach to urban infrastructure govern-ance. Various instances showcasing the application of specific elements of the algorithm have been reviewed in Moscow, as the largest city, and in Belgorod, recognized as one of the major cities in the country. It is em-phasized that the implementation of the algorithm is feasible throughout the territory of the Russian Federation, as its fundamental stages adhere to the principles of universality and the capacity for adaptation to specific local conditions. The conclusion drawn is that the realization of the proposed algorithm, executed by specially established departments within traffic management and operating in an integrative manner, has the potential to maximize the manifestation of its benefits.

Component technology is only available for business-oriented quality of service (QoS) management functions, can not satisfy the QoS requirements of soft real-time applications areas such as the multimedia and Web services. For real-time guarantee and improving resource utilization needs, this paper presents a real-time scheduling model for soft real-time component-oriented systems. First, the task model, component QoS specifications, resources container, resources container manager, and scheduler-related factors and their mutual relations are described. Second, the method for adding real-time mechanism to the component system is given. Finally, the scheduling algorithm is extended based on this model, and the resource container management algorithms are given, including access control algorithm, out of control algorithm, and QoS negotiation algorithm. The model meets the real-time requirements of applications and improves the system resource utilization together.

The Internet of Vehicles (IoV) is rapidly transforming the transportation landscape by enabling real-time communication between vehicles, infrastructure, and external networks. However, ensuring the security, efficiency, and responsiveness of IoV systems presents significant challenges. This paper proposes a comprehensive framework to address these complexities, integrating state-of-the-art technologies for secure and efficient vehicle operations. A fine-tuned large language model (LLM) is introduced to enhance navigation through unpredictable traffic, optimizing decision-making for both human-driven and autonomous vehicles. To safeguard data dissemination, blockchain technology is utilized, providing decentralized security, privacy, and trust across vehicle-to-everything (V2X) communications. In addition, a custom-built driver monitoring system (DMS) is developed to monitor driver alertness and respond to emergencies by activating autonomous driving systems when necessary. The framework further integrates IoV with smart traffic systems to optimize real-time traffic flow and route planning. The use of 5G technology ensures Ultra Reliable Low Latency Communication (URLLC), facilitating seamless, real-time data transmission between vehicles and infrastructure. This holistic approach addresses critical issues in data security, driver safety, and traffic management, offering a robust foundation for the future of IoV.

Background Organizations achieve agility, scalability, and enhanced resource utilization in multi-cloud environments, but face challenges in ensuring uniform and robust security across diverse cloud platforms. Variations in configuration and security mechanisms among providers hinder consistent policy enforcement and expose systems to data breaches and evasive threats. Additionally, the dynamic and distributed nature of multi-cloud operations broadens the attack surface, making real-time threat mitigation more complex. Methods To address these challenges, we introduced a groundbreaking software-defined networking (SDN)-enabled framework that incorporates deep learning for attack detection and adaptive security policy management. The framework consists of two primary components: the Software-Defined Multicloud Defense Controller (SDMDC), which enables centralized, real-time security policy enforcement (control plane), and the Multicloud Intrusion Detection System Gateways (MCIDS-G), which facilitate distributed threat detection across cloud platforms (data plane). The SDMDC’s integrated IDS is built using the Cross-Cloud Threat Transformer (CCTT) model, while the MCIDS-G’s regional IDS is based on the Long Short-Term Memory (LSTM) model. Additionally, the Lemurs Optimizer (LO) is employed in the SDMDC for cost-efficient policy management. SDMDC enforces security standards across all cloud environments where applications operate. Results The proposed solution addresses long-standing cloud security issues by combining coordinated global security strategies with automated threat detection and centralized policy management. SDMDC ensures consistent policy enforcement across cloud environments and manages ingress/egress and east–west traffic between cloud domains, including Amazon Web Service (AWS) and other service providers. The architecture supports dynamic resource orchestration and horizontal scalability, enabling adaptive performance under varying load conditions. The system also enables automatic policy implementation across platforms and facilitates real-time threat response to maintain consistent security. Conclusion The presented framework represents a significant advancement over existing multi-cloud protection solutions. It introduces new research directions, particularly in traffic management, firewall integration, and fully qualified domain name (FQDN) policy enforcement with proxy management.

Driven by the successful business model, cloud computing is evolving rapidly from a moderate size data center consisting of homogeneous resources to a hyper-scale heterogeneous computing environment. The evolution has made the computing environment ever-increasingly complex, thus, raises challenges for the traditional approaches for managing a cloud environment in an efficient and effective manner. In response, a decentralized system architecture for cloud management is introduced. In this architecture, the management responsibility and resource organization in a conventional cloud environment are re-considered. The re-consideration results in composing a cloud environment into three entities including the Infrastructure, the Cloud Utility and Information Base, and Application Autonomous Systems. In this configuration, service providers focus on providing connected physical resources and introducing featured resources. Information related to the Infrastructure is stored and periodically updated in the Information Base. A consumer employs an Application Autonomous System for managing the life-cycle of a cloud application. An Application Autonomous System in the context of this paper is defined as a self-contained entity that encapsulates a cloud application, the associated resources and the management functions. An Application Autonomous System uses the Information Base and Cloud Utilities to locate and acquire desired resources, subsequently resources are deployed on the Infrastructure by invoking Cloud Utilities. Thereafter, the Application Autonomous System manages the life-cycle of both the application and the associated resources. Consumers are offered opportunities to employ preferred algorithms and strategies for this management. Thus, the responsibility of cloud application management and partially the resource management has shifted from service providers to the consumers in this decentralized system architecture.

At present, the development of the hotel entrance guard system tends to be more intelligent. The use of ZigBee wireless sensor networks and ARM embedded technology can solve communication problems for the hotel door terminal node with management server. Based on the Z-Stack, one of ZigBee standard protocol stack, we propose a new hotel access control system. The system selected of TI Company CC2530, adding a high-performance chip card reader MFRC522, has an IC card wireless identification and service management functions. Establish ZigBee wireless sensor networks can reduce the cost of a lot wiring brings and improve the appearance of the hotel. After testing, the program is suitable for access control systems to manage the hotel and the hotel staff can improve work efficiency and service levels.

The decision of selecting the portfolio of services to be included in a service system and the issues that complicate this decision problem are discussed. A general portfolio decision making framework is presented and compared with the Microsoft Operations Framework (MOF) Business/IT Alignment Service Management Function (SMF).

Congestion in traffic is an unavoidable circumstance in many cities of India and other countries. It is an issue of major concern. The steep rise in the number of automobiles on the roads followed by old infrastructure, accidents, pedestrian traffic, and traffic rule violations all add to challenging traffic conditions. Given these poor conditions traffic, there is a critical need for automatically detecting and signaling systems. There are already various technologies that are used for traffic management and signaling systems like video analysis, infrared sensors, and wireless sensors. The main issue with these methods is they are very costly and high maintenance is required. In this paper, we have proposed a three-phase system that can guide emergency vehicles and manage traffic based on the degree of congestion. In the first phase, the system processes the captured images and calculates the Index value which is used to discover the degree of congestion. The Index value of a particular road depends on its width and the length up to which the camera captures images of that road. We have to take input for the parameters (length and width) while setting up the system. In the second phase, the system checks whether there are any emergency vehicles present or not in any lane. In the third phase, the whole processing and decision-making part is performed at the edge server. The proposed model is robust and it takes into consideration adverse weather conditions such as hazy, foggy and windy. It works very efficiently in low light conditions also. The edge server is a strategically placed server that provides us with low latency and better connectivity. Using Edge technology in this traffic management system reduces the strain on cloud servers and the system becomes more reliable in real-time because the latency and bandwidth get reduced due to processing at the intermediate edge server.