Management System for Terminals in the Wireless B3G World

The current number of mobile Internet users has far exceeded the number of PC Internet users.The construction of college mobile website is behind the PC website.An innovative idea which integrates mobile website and computer website into one system was proposed.Content management technology is used in the system.The system which mobile website and computer website integrates into college online content management system is developed.It allows colleges and universities to build the mobile and computer website at the same time.The construction and management of integration meets the needs of smartphone and computer access.The system would enhance the level of college information. Concept of College Content Management SystemContent Management System has back-office systems or processes between software systems.Content Management System focused on solving a variety of unstructured or semi-structured collection of digital resources.It can be integrated into structured data organic business intelligence environments, such as OA, CRM, etc. Content creators, editors, publishers use content management system to submit, and publish content.The "content" may include all information files, tables, pictures, and data in the database or video.Content Management System is used in college website building software industry establishment.College website content management system can simplify the construction, management and maintenance.The basic idea is to achieve the appearance and content of the separation and management.Content Management System is stored in a database or file system.The appearance of the page is to use a template to achieve.When a user requests a page, the page has a standard HTML page provided to the user.To browse through the use of templates, administrators only need to modify the template and feel of the site adjustment.Managers can focus on content design, and greatly simplify site management and maintenance.

B3G (Beyond 3rd Generation) networks is the next step in the wireless world. It will enable the delivery of services to end-users, on different underlying wireless access networks and customised to users' context. Furthermore, seamless mobility between networks and switch of devices will be handled in a transparent way. In this paper, a Context-Aware Network Equipment (CANE) is introduced, that is able to dynamically adapt multimedia services according to the users' context. The term context includes the users' device, the users' preferences, the network conditions as well as the service provider adaptation policies. As a proof of concept, an implementation of a CANE is given for a 802.11 network use-case. An evaluation of the prototype as well as simulations of the proposed solution, both for an audio streaming service and a video streaming service, are presented. The results show that adapting multimedia services in case of network overload can enable to maintain an acceptable quality of service delivered to end-users and even to allow more users to enjoy the services, which will not be possible without the CANE.

Network-centric context information is used to make networks more receptive to the users’ needs by personalizing the communication process and making it more sensitive to changes that may occur in the surroundings. As such, it is a natural step that context awareness should be suitably incorporated within traditional networks in order to create an ‘ambient network’. This approach is aimed at enabling the co-operation of heterogeneous networks on demand, transparently to the potential users, and without the need for preconfiguration or offline negotiation between network operators. This paper discusses the approach taken by authors to incorporate context-awareness into ambient networking concepts. It discusses how network-related context information should be utilized in ambient networks for the end user to fully experience the pervasiveness of a network and the research challenges arising from this utilization. The paper also evaluates the benefits of employing context information and contextware concepts in ambient networks.KeywordsContext InformationContext DataContext ControlContext ProviderContext SourceThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

A generic architecture for management and control of end-to-end quality of service over multiple domains

Real-time traffic network management systems are envisioned to provide network operators with decision support capabilities to alleviate recurrent and non-recurrent congestion. These capabilities involve predicting the network congestion dynamics and facilitating the development of proactive traffic management schemes that integrate traffic control and demand management strategies. However, traffic networks are subject to numerous sources of stochasticity that make it difficult to accurately predict their operational conditions and generate effective traffic management schemes to cope with these conditions. This paper presents a decision support system for proactive-robust traffic network management, which accounts for uncertainty in the network operational conditions. The objective is to develop robust traffic management schemes such that the network overall performance remains close to optimality under all possible future operational conditions. The modeling framework of the system is presented, which adopts a rolling horizon framework that integrates a meta-heuristic search algorithm and a dynamic traffic assignment simulation-based methodology. The system performance is examined through application to the traffic network of the US-75 corridor in Dallas, TX, USA.

The development of the Blue-Angel light HEV started already in its 1st generation in 1992. In 2006, the 3rd generation redesign, first as a HEV and later on as a full EV with range extender, was started. The current design-concept is presented in this paper. Emphasis is put on the energy storage integration with a so called SAM2 storage 3rd generation which stands in communication with the energy management of the appropriate building. This paper presents the integration of Blue-Angel in the strategic field of research "living and mobility" of CC IIEE1 of the Lucerne University of Applied Sciences and Arts as well as the V2G concept. In this concept, PHEVs and EVs can be utilized for harnessing renewable energy and for providing power for both residential and commercial customers. The amount and the direction of power flow amongst the sub-systems, which include the grid, renewable energy sources, household load and Blue- Angel is part of a new management system. The proposed system is an open and universal platform and is expected to gain popularity amongst both commercial and residential users interested in resolving the global energy crisis. The system components will be demonstrated in a show-area platform of the Lucerne University of Applied Sciences and Arts in Horw-Lucerne as well as in a local utility.

Caching content locally at the edge of the network and managing these caches by SDN/NFV based technologies are able to satisfy increasing data traffic demand in 5G. The virtualization of caching functionalities allows network operators to deploy caching services with advanced features like flexibility, dynamicity and auto-scalability, and provide caching services to service providers or virtualized network operators over the same common infrastructure. The caching management system provides two levels of operations: i) at the global level managed by the Infrastructure Provider applying to all the tenants or virtualized network operators; or ii) at the tenant-specific level managed by the specific tenants. Our caching solution opens an entirely new space of business opportunities for network operators, service providers and content providers.

Detecting a variety of anomalies caused by attacks or accidents in computer networks has been one of the real challenges for both researchers and network operators. An effective technique that could quickly and accurately detect a wide range of anomalies would be able to prevent serious consequences for system security or reliability. In this article, we characterize detection techniques on the basis of learning models and propose an unsupervised learning model for real-time anomaly detection in computer networks. We also conducted a series of experiments to examine capabilities of the proposed model by employing three well-known machine learning algorithms, namely multivariate normal distribution, k-nearest neighbor, and one-class support vector machine. The results of these experiments on real network traffic suggest that the proposed model is a promising solution and has a number of flexible capabilities to detect several types of anomalies in real time.

The advent of 5G technology marks a significant transformation in the telecommunications landscape, promising to deliver ultra-fast data speeds, minimal latency, and widespread connectivity that supports many new services and applications, including IoT, augmented reality, and autonomous systems. However, achieving the full potential of 5G networks involves overcoming substantial infrastructure challenges. Deploying and managing 5G's intricate architecture, encompassing the Radio Access Network (RAN), Core network, and Service-Based Interfaces (SBI)—requires a shift from traditional, labor-intensive methods to more advanced, automated processes. Infrastructure-as-Code (IaC) has emerged as a game-changing methodology that addresses these needs by codifying infrastructure setup and management into programmable scripts. This comprehensive review delves into how IaC facilitates the efficient deployment and management of 5G components, enhancing agility, consistency, and scalability. By automating resource provisioning, configuration, and updates, IaC empowers network operators to rapidly deploy infrastructure that meets the demanding requirements of 5G services. The paper discusses how IaC enables seamless integration and scaling of network functions, improves operational efficiency through reduced human error, and supports consistent infrastructure management across distributed environments. Key tools such as Terraform, Ansible, and Kubernetes are explored, showcasing their applications in orchestrating various layers of the 5G network, from RAN deployment to core network orchestration and SBI configurations. Despite its advantages, adopting IaC in 5G deployment comes with its challenges. These include managing the complexities inherent in multi-vendor environments, ensuring robust security for automated provisioning scripts, and maintaining compliance with regional regulatory standards. The paper explores these obstacles in-depth, offering insights into best practices and potential solutions to navigate these hurdles. This review highlights emerging trends and research opportunities, such as the potential for zero-touch automation, which leverages IaC for autonomous network operations with minimal human intervention. It also discusses the role of artificial intelligence (AI) and machine learning (ML) in predictive resource management and automated fault detection, proposing a future where AI-enhanced IaC can revolutionize the deployment and operation of 5G networks. By examining these elements, the review aims to provide a holistic view of the current state and future trajectory of IaC in 5G RAN, Core, and SBI deployment, setting the stage for ongoing innovation and development in the field.

In the process of power dispatching and control, dispatching small network is an effective means to realize the remote number allocation in power dispatching and switching network. However, due to the scattered site, a wide range, and some unmanned site remote locations, there is a need for a small site terminal equipment to find the fault. To solve these problems, a terminal graphics management system is established. First, the real-time status monitoring mechanism of terminal is established based on IPoE technology to realize the status awareness of remote terminal. The heartbeat mechanism is segmented in link layer to meet the real-time performance of terminal state presentation. Then, the message class method with special characters is used to replace the original dial method to test the detection mode of manual answering. Automatic monitoring using telemetry technology can effectively monitor in unattended situations. Finally, considering the performance of different devices and various fault scenarios, according to the inherent hardware characteristics of segmented devices, the unified packet detection technology is used to realize the fault diagnosis of network sub-nodes, and finally realize the fault diagnosis of the terminal. After experimental verification and testing, the platform can realize remote fault detection and management of each plant terminal through topological graphical management system. The system can improve the scale and management ability of intelligent power dispatching of small stations.

In the current era of digital communication and digital transaction, most companies and industries are using IoT devices to manage and store day-to-day transaction data. Most of these organizations use a biometric-based attendance system to spot the attendance of employees. Few organizations use RFID cards or tags embedded in the identity card of the employee for attendance marking. Smartphone has become a handy tool for people for communication and transferring money from bank accounts and digital wallets using QR codes as a means for the transaction. However, the user, device authentication, and secure data transmission are the primary concerns in IoT networks. In recent years, blockchain arose as a decentralized data security mechanism. It has been successfully implemented as a secured mechanism for exchanging several applications, including cryptocurrencies and other areas. There are several blockchain frameworks available and discussed in the literature. The proposed work discusses the IOTDMS Blockchain framework called the Internet of Things Data Management System Chain (IOTDMS chain) built-in Python. The proposed approach considered the use case of an attendance management system, and this paper presents the current work in progress of how blockchain can potentially improve the IoT.

Recently, context aware has become a popular topic in ubiquitous computing. Most context-aware research combines embedded system devices with context-aware systems to realize a ubiquitous environment. This study proposes a Daily Exercise Context Aware Ontology Model (DEOCAM) and builds a Context Aware Exercise System (CAES), which is free of space limitation. CAES is composed of three parts: Personal Exercise Management System (PEMS), Context Aware System (CAS) and Context Sharing Network Platform (CSNP). The purpose of the system is to recognize the daily activities of users, which is helpful in exercise monitoring for health management. Our experimental results show that the system is effective and feasible for daily activity contexts recognition and moving distance computation.

Virtualization techniques effectively handle the growing demand for computing, storage, and communication resources in large-scale Cloud Data Centers (CDC). It helps to achieve different resource management objectives like load balancing, online system maintenance, proactive fault tolerance, power management, and resource sharing through Virtual Machine (VM) migration. VM migration is a resource-intensive procedure as VM’s continuously demand appropriate CPU cycles, cache memory, memory capacity, and communication bandwidth. Therefore, this process degrades the performance of running applications and adversely affects efficiency of the data centers, particularly when Service Level Agreements (SLA) and critical business objectives are to be met. Live VM migration is frequently used because it allows the availability of application service, while migration is performed. In this paper, we make an exhaustive survey of the literature on live VM migration and analyze the various proposed mechanisms. We first classify the types of Live VM migration (single, multiple and hybrid). Next, we categorize VM migration techniques based on duplication mechanisms (replication, de-duplication, redundancy, and compression) and awareness of context (dependency, soft page, dirty page, and page fault) and evaluate the various Live VM migration techniques. We discuss various performance metrics like application service downtime, total migration time and amount of data transferred. CPU, memory and storage data is transferred during the process of VM migration and we identify the category of data that needs to be transferred in each case. We present a brief discussion on security threats in live VM migration and categories them in three different classes (control plane, data plane, and migration module). We also explain the security requirements and existing solutions to mitigate possible attacks. Specific gaps are identified and the research challenges in improving the performance of live VM migration are highlighted. The significance of this work is that it presents the background of live VM migration techniques and an in depth review which will be helpful for cloud professionals and researchers to further explore the challenges and provide optimal solutions.

In the search for competitive advantage, network management systems are becoming increasingly important to public network operators. In an attempt to reduce the cost of management systems, the telecommunications community have, for many years, been working on the standardisation of interfaces between systems to encourage a multi-vendor environment. As the computing and telecommunications domains converge, there is now a possibility to use distributed object technology to increase the cost-effectiveness of management systems. This paper discusses experiences of using the Common Object Request Broker Architecture (CORBA) as a basis for a public telecommunications network management system platform.Keyword CodesC.2.4D.1.5D.1.1KeywordsDistributed SystemsObject-oriented ProgrammingApplicative (Functional) Programming

The CATV network operators hope to offer digital services and evolve their networks to full service networks. There are many hurdles for them at the moment in the transition to a digital network and digital service offering from the current analog-based technology. Key to the success of the transition will be a well-integrated and capable management system to allow CATV operators and service providers to control the network as well as the services they will offer. The CATV operators need to agree on a common data communication infrastructure and plan how their new digital services will be offered to subscribers without disrupting the current customer base of analog service users. The choice of network technology and data communication protocols will have a strong influence on the network management technology chosen. A vital element for the provision of a common open communication architecture as well as for the purposes of network management is that the IP is used. The adoption of existing standards is vital in order to establish a fast route to open network management for CATV networks. It is possible that CATV operators and service providers will have to integrate existing SNMP management systems and TMN/OSI management, with newer integrated service management systems based on TINA and implemented on a CORBA platform. There is a strong need to address security issues before any of these technologies can be deployed for service. There is currently investment (deployed systems and research) which uses each of the technologies mentioned, so these technologies will need to coexist. This article highlights the differences between the North American and European network architectures, and outlines the European network and network management scenario. This is based on the authors involvement in a Pan-European CATV project, Integrated Broadband Communication over Broadcast Networks-IBCoBN.