Management Of Network Services Research Articles

HUMAS SEBAGAI FASILITATOR KOMUNIKASI DALAM MENANGANI KELUHAN PELANGGAN WILAYAH SIDOARJO TERKAIT DITARIKNYA SUBSIDI LISTRIK 900 VA

The state electricity company is a state-owned enterprise engaged in the field of electricity. The state electricity company that deals with customer service, namely the distribution section. The state electricity company is an electricity industry that has the potential for people's lives. PT. The Sidoarjo regional electricity company is one of the state electricity companies engaged in the distribution of electricity for customer service management and electricity network services. However, recently there were customer complaints regarding the withdrawal of 900 VA electricity subsidies, this withdrawal was due to policies from the government which were considered to be inadequate to obtain electricity subsidies. Teratric researchers to examine this research because the case experienced just happened and the researchers wanted to know how the process carried out by PR in completing the case. From the study, it was adjusted the results that the poorer communities could still get electricity subsidies by submitting a certificate of incapacity from the kelurahan. This research method uses a qualitative approach and uses descriptive types of research. The literature review used is a functional approach using an open system model with a "two-way symmetrical" approach from the results of this study that public relations succeeded in carrying out its role as a communication facilitator.Keywords: Communication Facilitators, Public relations, Customer

Packet Transport Network Recovery System with Examination of Data Transmission Quality

A packet transport network recovery system based on failure pattern under examination of transmission quality is proposed. Network failures are segmented into one of the three patterns: single failure of a node, failures of multiple nodes, and failures of multiple network areas. The single failure is recovered by a protection scheme. For failures of multiple nodes or multiple areas, recovery is performed by a node-based multiple-backup operation plane scheme or by an area-based multiple-back operation plane scheme, respectively. A unique recovery ID is assigned to each failure pattern and backup paths with the recovery ID are stored in each node. When network failures occur, the network management server determines the type of failure and sends the appropriate recovery ID to the nodes. Then recovery paths are configured. Our proposed system took about 0.5[Formula: see text]s to configure 1000 backup paths after failures were detected, compared to about 4[Formula: see text]s by a conventional scheme. For the examination of data transmission quality, multiple paths that do not share the same link are grouped and configured concurrently. The number of groups is regarded as the performance of the configuration. The performance of the proposed system is about three times faster than a configuration without grouping.

Social Network Services Management and Risk of Doocing. Comment on Kim, S.; Park, H.; Choi, M.J. “Negative Impact of Social Network Services Based on Stressor-Stress-Outcome: The Role of Experience of Privacy Violations. Future Internet 2019, 11, 137”

In light of the recent work by Kim and colleagues about Social Network Service (SNS), examining the individual and SNS characteristics as predictors of SNS fatigue, we hypothesize to enlarge their model to the job context. SNS is a relevant issue in occupational life as employers use it to have a deeper knowledge of their employees and as a tool of corporate communication. Employees can use SNS as a social platform and as a way to express discontent. In this latter case, the organization can implement a disciplinary procedure toward employees, known as doocing. The perception of privacy violation is strictly related to the fear and awareness of doocing, which in turn can predict SNS fatigue as well. So, it could be worthwhile to extend Kim and colleagues’ model to the workplace with particular attention to the doocing phenomenon.

FASTSCALE: A fast and scalable evolutionary algorithm for the joint placement and chaining of virtualized services

Service function chaining or in-line services in network function virtualization is a promising approach for network and service providers as it allows them to dynamically instantiate network functions and interconnect them according to a predetermined policy on-the-fly. It brings flexibility, easy management and rapid deployment of new virtual network services. With the advent of 5G and the concept of network slicing, virtual network services are becoming increasingly complex, not only in terms of topologies, but also in terms of stringent requirements that need to be fulfilled. An optimal deployment of these service function chains, and virtual network services in general, calls for an approach that considers the operational, traffic, and energy costs and QoS constraints jointly from a multi-objective mathematical perspective.In this paper, we propose a multi-objective integer linear program for the joint placement and chaining of virtual network services of different topologies (linear and non-linear) to solve the problem optimally and an evolutionary algorithm (cultural algorithm) for medium and large-scale instances (not limited to 3 to 5 VNFs per SFC). To the best of our knowledge, we are the first to consider this problem from this perspective and propose a solution to it. Extensive experiments demonstrate the effectiveness and efficiency of our proposed evolutionary algorithm versus the optimal solution.

Transformative top-down planning in a small African city: How residents in Bagamoyo, Tanzania connect with a city in motion

The New Urban Agenda commits UN member states to the implementation of national urban plans, and this recentralization of urban governance reverses nearly three decades of political decentralization and devolution. The recentralization of urban governance is evident in Tanzania, where the most recent industrial development strategy articulates a spatial plan aimed at integrating the country with regional and global markets. The lynchpin of this spatial plan is Bagamoyo, a small city located approximately 60 km north of Dar es Salaam. It is situated at the confluence of two development corridors, and as a result it was designated the most appropriate location for a greenfield port and an export processing zone. In the context of Bagamoyo’s top-down transformation, authorities situated at the city and district levels struggle to expand services and infrastructure to accommodate a growing population and expanded urban area. In this article we present original research and narrate the evolution of a city in motion; we focus on the city’s fragmented water network and hybrid solid waste management services, and we explain how residents secure access to water and reduce exposure to waste on an everyday basis. We show that residents connect with the ‘heterogeneous infrastructure configuration’ in a range of ways, and many residents effortlessly switch from one to another in the event of a disruption (e.g. water shortage in the formal public system). We conclude that Bagamoyo’s infrastructure and services should be configured to foster meso-level connections, as neighbourhood water kiosks and waste collection depots would result in more equitable and efficient outcomes.

A Cloud-Enabled Small Cell Architecture in 5G Networks for Broadcast/Multicast Services

The evolution of 5G suggests that communication networks become sufficiently flexible to handle a wide variety of network services from various domains. The virtualization of small cells as envisaged by 5G, allows enhanced mobile edge computing capabilities, thus enabling network service deployment and management near the end user. This paper presents a cloud-enabled small cell architecture for 5G networks developed within the 5G-ESSENCE project. This paper also presents the conformity of the proposed architecture to the evolving 5G radio resource management architecture. Furthermore, it examines the inclusion of an edge enabler to support a variety of virtual network functions in 5G networks. Next, the improvement of specific key performance indicators in a public safety use case is evaluated. Finally, the performance of a 5G enabled evolved multimedia broadcast multicast services service is evaluated.

SOFTWARE DEFINED NETWORKS – A STEP TOWARDS A NEW GENERATION OF NETWORK SERVICES

Social networks, mobile apps, and cloud computing push traditional networks to the limits of their boundaries. One solution to this problem is Software Defined Networks (SDN), which is a contemporary networking concept that allows network administrators easy to manage network services and resources by differentiating the management plane from the data transport plane. The new generation of networks eliminate inefficiencies of the existent networks making them more automated, dynamic and easy adapting to the changing state and requirements of users. The paper presents a comparative analysis of traditional and software defined networks on the base of their capabilities and application as the aim is the applying of SDN as a suitable solution of the problems of modern networks.

BWManager: Mitigating Denial of Service Attacks in Software-Defined Networks Through Bandwidth Prediction

Software-defined networking (SDN) has emerged as a new networking paradigm that can provide fine-grained network management service. Since the SDN controller makes control decision for the network, it becomes the main target of denial of service (DoS) attacks. In this paper, we propose BWManager to mitigate... which mainly consists mitigate the DoS attacks on the SDN controller with BWManager that mainly consists of four key components: 1) simplified DoS detection module; 2) forecasting engine; 3) priority manager; and 4) scheduler. The simplified DoS detection module calculates a comprehensive judgment score for each switch, which indicates the attacking severity of each switch and is used to decide time slice allocation of the controller. The forecasting engine is the basis of the controller scheduling method and forecasts the bandwidth consumption of users to determine the users’ trust values. The trust values are used by the priority manager to manage multiple buffer queues with different priorities for the users. The scheduler protects the controller and the normal users under DoS attacks by running a weighted Round-Robin algorithm to process flow requests in different priority queues. We evaluate the performance and overhead of BWManager in both hardware and software OpenFlow environments. The results demonstrate that BWManager is effective with a limited overhead.

A Q-Learning-Based Approach for Deploying Dynamic Service Function Chains

As the size and service requirements of today’s networks gradually increase, large numbers of proprietary devices are deployed, which leads to network complexity, information security crises and makes network service and service provider management increasingly difficult. Network function virtualization (NFV) technology is one solution to this problem. NFV separates network functions from hardware and deploys them as software on a common server. NFV can be used to improve service flexibility and isolate the services provided for each user, thus guaranteeing the security of user data. Therefore, the use of NFV technology includes many problems worth studying. For example, when there is a free choice of network path, one problem is how to choose a service function chain (SFC) that both meets the requirements and offers the service provider maximum profit. Most existing solutions are heuristic algorithms with high time efficiency, or integer linear programming (ILP) algorithms with high accuracy. It’s necessary to design an algorithm that symmetrically considers both time efficiency and accuracy. In this paper, we propose the Q-learning Framework Hybrid Module algorithm (QLFHM), which includes reinforcement learning to solve this SFC deployment problem in dynamic networks. The reinforcement learning module in QLFHM is responsible for the output of alternative paths, while the load balancing module in QLFHM is responsible for picking the optimal solution from them. The results of a comparison simulation experiment on a dynamic network topology show that the proposed algorithm can output the approximate optimal solution in a relatively short time while also considering the network load balance. Thus, it achieves the goal of maximizing the benefit to the service provider.

Single and Multi-Domain Adaptive Allocation Algorithms for VNF Forwarding Graph Embedding

Network function virtualization (NFV) will simplify deployment and management of network and telecommunication services. NFV provides flexibility by virtualizing the network functions and moving them to a virtualization platform. In order to achieve its full potential, NFV is being extended to mobile or wireless networks by considering virtualization of radio functions. A typical network service setup requires the allocation of a virtual network function-forwarding graph (VNF-FG). A VNF-FG is allocated considering the resource constraints of the lower infrastructure. This topic has been well-studied in existing literature, however, the effects of variations of networks over time have not been addressed yet. In this paper, we provide a model of the adaptive and dynamic VNF allocation problem considering also VNF migration. Then we formulate the optimization problem as an integer linear programming (ILP) and provide a heuristic algorithm for allocating multiple VNF-FGs. The idea is that VNF-FGs can be reallocated dynamically to obtain the optimal solution over time. First, a centralized optimization approach is proposed to cope with the ILP-resource allocation problem. Next, a decentralized optimization approach is proposed to deal with cooperative multi-operator scenarios. We adopt AD3, an alternating direction method of multipliers-based algorithm, to solve this problem in a distributed way. The results confirm that the proposed algorithms are able to optimize the network utilization, while limiting the number of reallocations of VNFs which could interrupt network services.

Assignment of Virtual Networks to Substrate Network for Software Defined Networks

Assigning multiple virtual network resources to physical network resources, called virtual network embedding (VNE), is known to be non-deterministic polynomial-time hard (NP-hard) problem. Currently software-defined networking (SDN) is gaining popularity in enterprise networks to improve the customizability and flexibility in network management service and reduced operational cost. A central controller in SDNs is an important factor that we need to take care of when we want to assign virtual networks to physical resources. In this work, we address virtual network embedding problems for SDNs. Indeed, our objective is to propose a method to assign virtual networks in the substrate network with minimum physical resources, and also minimizing delays between the virtual network controller and the switches in the virtual network. Our proposed algorithm considers the link and node constraints such as CPU and bandwidth constraints which is necessary to consider when we try to solve virtual network embedding problems.

Virtual Network Functions Routing and Placement for Edge Cloud Latency Minimization

As a new way to design, deploy, and manage network services, network functions virtualization (NFV) decouples the network functions, from one or more physical network infrastructures and black boxes so they can run in software. It therefore comes as no surprise that NFV originated from service providers, who were looking to improve the deployment of new network services to support their revenue and growth objectives. Within the NFV ecosystem, high availability, and low latency are one of the key quality of service (QoS) benefits that service providers can expect from the 5G Cloud and the NFV networks to make delay-critical services such as remote surgery a reality. Therefore, network services should be placed, chained, and routed through the network considering users/tenants stringent QoS and service-level agreement requirements. To this end, routing and placement optimization plays a major role in improving network performance and the overall network cost. In this paper, we study the problem of virtual network functions (VNFs) placement and routing across the physical hosts to minimize overall latency defined as the queuing delay within the edge clouds and in network links. In that respect, this paper takes a holistic view by considering not only VNFs chaining and placement problem but also considering the flows routing aspect since these two problems are inter-related and have a major impact on network latency.

Design and Implementation of the Service-Aware Traffic Engineering (SATE) in the LISP Software- DefinedWireless Network (LISP-SDWN)

Software Defined Wireless Networks (SDWN) have been considered to have a feasible architecture that enables the fast deployment of new services and solutions in response to the explosion in the number of users and network traffic. Currently, the telecommunications sector is ensuring flexibility in network management and configuration. However, fluctuations in traffic are still beyond the control of SDWN providers. This paper suggests ways to manage fluctuations of traffic with service type. We propose the design of a service-aware network management service that achieves the maximum network utilization among heterogeneous Radio Access Networks (RANs) as a form of Traffic Engineering (TE). In this paper, we implement and test the Service-Aware Traffic Engineering (SATE) that distributes the network traffic to RANs according to the service type of traffic in the network layer. The traffic shift latency (e.g., from an LTE RAN to a Wi-Fi RAN) is considered as a performance metric that does not affect the end-to-end latency of some network applications (e.g., VoIP), and it is 3.51ms from our testbed. Therefore, it might not affect the end-to-end latency of the VoIP application in the telecommunications. SATE is implemented using OpenDaylight (ODL) and Ingress/Egress Tunneling Routers (xTRs) running on Vector Packet Processing (VPP).

Last train timetabling optimization and bus bridging service management in urban railway transit networks

Urban railway transit systems are not only the main source of city trips but also provide important support for city operations. In this study, we address the last train timetable optimization and bus bridging service problem in the context of urban railway transit networks. By exploiting problem-specific knowledge, we present an optimization-based approach that deals with the issue of last-train passengers being stranded at midnight by developing a last train and bus bridging coordination mixed integer linear programming (MILP) model. Due to the large problem size, an effective decomposition method is developed for solving the real-world and large-scale problems, which decomposes the original MILP into two smaller MILP models: maximizing last train connections and minimizing waiting times for rail-to-bus passengers. In addition, we prove that this decomposition method can solve the original MILP to global optimality. Finally, we apply the developed MILP models to the Vienna Subway to assess the effectiveness of the proposed approaches and conduct sensitivity analyses of the bus fleet size involved in the last train timetable optimization and bus bridging service problem.

Flexible network management and application service adaptability in software defined wireless sensor networks

The need for highly responsive and adaptable computing systems is essential in today’s network computing age. This is principally due to the drastic evolution in broad computing platforms operating at highly descriptive and abstracted mediums such as; reconfigurable computing systems, smart automation systems, cognitive and parallel programming systems which communicate using very complex resources or modes. Hence, such systems must incorporate the best forms of technologies to cater for the rapidly growing and heterogeneously connected platforms such as with Internet of Things (IoT). However, to effectively manage these network platforms with such high-end computing resources, requires a well-structured and carefully implemented systems. This work implements a Software Defined Wireless Sensor Network (SDWSN) approach coupled with Discrete Event Simulation (DES) and a highly extensible and scalable Software Defined Networking (SDN) controller–OpenDayLight (ODL), to implement a software-oriented network environment to increase network service adaptability and simplify network management. The implemented approach uses the ODL’s Model-Driven Service Abstraction Layer (MD-SAL) to facilitate the forwarding layer by applying state procedures to manage flow rules and introduce software-oriented network services. Experimental results indicate that in this approach, the traffic flow routing is significantly improved, with reduced transmission delays and that the underlying sensor nodes uses less energy since energy demanding tasks are performed on the controller.

A comprehensive 3‐dimensional security analysis of a controller in software‐defined networking

Software‐defined networking (SDN) has recently emerged as a novel networking paradigm that enables network administrators to manage network services through high‐level abstraction of networking functions. This is achieved by mainly decoupling the control plane from the data plane. The control plane, namely the SDN controller, makes dynamic decisions on where traffic is sent in the underlying systems that forward data to the selected destinations. The SDN controller, seen as a networking operating system, acts, therefore, as the brain in SDN. Consequently, its importance makes it a privileged new target for future attackers. In order to have a comprehensive security assessment of the SDN controller, we conducted a 3‐dimensional analysis to study the security of OpenFlow‐based SDN controllers. This study includes: (1) the essential components of a controller, (2) the characteristics provided by a controller, and (3) the STRIDE model. At the end, we also summarized 9 principles that are necessary to secure an SDN controller from the reported attacks and analyzed the security of 5 active open‐source controllers following those principles.

RETRACTED ARTICLE: Research on Network Service Management Platform for Long Term Mechanism of Sports in Colleges

With economic and social development, sports began to attract considerable attention from the public. Students play an important role in the future construction of the nation. Their physical health is very critical, so all the construction of long-term mechanism for college sports network service management platform is of great significance. This paper selects the NET technology group, SQL Server2005 database and Window XP server operating system developed by Microsoft Corp as the guarantee on the technical level. Besides, it constructs the university sports network service platform based on the NET technology. In the design and development process of this platform, the relevant theories and methods of sports system engineering are adopted, and the system function, information data, target behavior as well as other scientific control are also included.

Survey on evaluation of network management strategies and services in Emerging Wireless Networks

Survey on evaluation of network management strategies and services in Emerging Wireless Networks

Evaluation and optimization of QoS-aware network management framework based on process synergy and resource allocation

The evaluation of network service quality is a comprehensive system that is not only affected by the quality of network itself, but also under the influence of actual expectations and perceptions from users. Task scheduling and resource allocation are important components of network service management framework that determine the perception of service quality. While QoS-awared workflow is an effective support for quality of service in network environment. The research of this article proves that there is a clear causal link between expectations, perceptions and network service quality, and proposes a network service management framework based on QoS-awared. Expectations of computer network service from users are the main reason for different perceptions and quality evaluation, while quality of network is more the results of expectations. Characteristic services, which meet the demand of different groups and fast response, are effective measures to enhance network perceptions. By comparing the weights and degree of perceptual consistency of different QoS parameter, network quality, service support, process collaboration and resource allocation are extracted. By the use of AHP model, the priority of elements in different dimensions and levels is ordered. Based on these, an evaluation framework and the optimization path of network service quality are achieved.

Identification and predication of network attack patterns in software-defined networking

Software-defined networking (SDN) is earning popularity in enterprise network for simplifying network management service and reducing operational cost. However, security enhancement is required for concerns. In this paper, we analyze the network attack patterns of governments and enterprises, whose networking paradigm are constructed in SDN. In detail, methods of time series data mining including clustering and forecasting are proposed to discover hidden information in temporal network attack data. To start with, hierarchical clustering with modified dynamic time warping distance measure was developed to classify time series data of nine departments of China, which is aimed to identify patterns of network attack. We then explored autoregressive integrated moving average to build a model describing relationships and behavior of network attack as well as forecast the frequency of the future network attack, which is targeted to prevent extensive exposure of attack events. Experiments demonstrated that our models have the ability to distinguish the complex phenomena of temporal network attack and realize statistically accurate predication of network attack under SDN architecture. Our work provides the foundation for decision-making when dealing with issues of network safety.