Service Configuration Research Articles

Coupling effects of power substation equipment with multiple configurations

Power substation equipment with multiple configurations use metallic blades to switch to different service configurations. When subjected to earthquakes, a closed blade can produce great coupling effects between two interconnected pieces of the equipment, which substantially affect their dynamic properties and seismic responses. However, knowledge of the coupling effects and their production mechanism is currently insufficient. To investigate coupling effect characteristics, an ultra-high voltage (UHV) disconnect switch with different configurations was tested on a full-scale shaking table. Test results proved that the main blade was a weak connection, which leads inconsistent resonance among different pieces. Furthermore, phase traces of the blade confirm its coupling effects are produced by a nonlinear mechanism. Combined testing results and a numerical calculation were employed to quantitatively estimate the interaction forces raised by the blade. Based on a frequency-domain characteristic analysis, it was found that the nonlinearity was contributed by by the unsteady connection of the blade. Furthermore, this study proved that the blade connection cannot be modeled by a single linear element with any physical parameters.

International resource configuration of product-related services in the digital age – An analysis of its antecedents

PurposeAlthough many manufacturers depend on international sales, and product-related services continue to increase in importance, little is known about how manufacturers should deliver their product-related services across borders. This paper examines the international configuration decision of industrial service offerings across borders by investigating the impact of different service characteristics and the servitization strategy on this decision. Additionally, the paper sheds light on how digitalization and administrative heritage impact this decision.Design/methodology/approach116 industrial goods manufacturers from Switzerland and Germany were surveyed.FindingsServitization leads companies to centralize their service resources in their home countries. However, most service characteristics do not impact decisions regarding centralization, except for knowledge intensity, which leads to more centralization of resources. This implies that the resource configuration does not depend on each service individually but on the overall service strategy. Furthermore, the digital readiness of the host country directly and positively impacts resource centralization. Notwithstanding other variables, larger companies tend to decentralize service resources more than smaller companies.Originality/valueThis paper is among the first to study the international configuration impact of servitization and of individual service characteristics, thereby adding important knowledge regarding the provision of product-related services in the international context. Additionally, different aspects of digitalization are included to analyze its impact on companies and host countries.

Mentoring: Can you get too much of a ‘good thing’? Proposing enhancements to the ‘effectiveness framework’ the England and Wales Prison and Probation Service

Opt-in, open-ended mentoring for people with convictions, allowing them to dip in and out of services without sanction arguably offers a service configuration to match the paradigm of the zig-zag, nomadic desistance journey. Balancing supporting individual’s agency while avoiding fostering dependency is tricky. What are the conditions which support the former and avoid the latter? We aim to answer this question by drawing on the lived experience of mentees and mentors collected during the evaluation of a mentoring scheme in England. We consider whether mentoring is unequivocally a ‘good thing’. Despite its ubiquity, the evidence for its effectiveness is mixed. We suggest that it is possible to get too much mentoring, and advance the evidence base in the United Kingdom and internationally in other jurisdictions by proposing enhancements to the ‘effectiveness framework’ set out by the prison and probation service in England and Wales.

Simulation-based design and analysis of on-demand mobility services

On-demand mobility services – autonomous as well as human-driven – promise to transform transportation and urban living. Yet, designing such services involves an array of challenges: from demand data acquisition and processing, to building a versatile simulation framework, to finally evaluating a variety of service configurations and making recommendations. This article illustrates the process of designing and analyzing various types of on-demand mobility services using the City of Chicago, Illinois, as a test case. We start by surveying and categorizing a large number of articles on simulation-based design of on-demand mobility services. This is followed by an extensive experimental study, which analyzes how different service designs perform under real transportation demand patterns in terms of key performance indicators such as demand acceptance rate, excess ride time, deviation from the desired pickup time, vehicle occupancy, and various fleet efficiency metrics. This type of analysis helps mobility service providers and public transit authorities gain insights into the interplay of the different passenger- and fleet-related key performance indicators. Finally, we introduce the fundamental ridesharing diagram, which quantifies the relationship between passenger convenience and fleet efficiency, and helps identify socially optimal service designs.

Need Analysis: Portable Web Server Development Kits for Teaching and Learning

A Portable server is the combination of popular web server software, namely Apache, MySQL, PHP and PhpMyAdmin. With a portable server, users can develop and display a developed website anywhere at any time as all web server configurations have been installed on the storage drive. Portable servers are ideal for displaying the offline version of the website anywhere when developing a website. Using a mobile server as well, users do not need hosting that requires complicated configuration and can be used to run tests before putting the website online. This study aims to obtain preliminary findings on building portable web server development kits for the teaching and learning process.

VPN SITE TO SITE IMPLEMENTATION USING PROTOCOL L2TP AND IPSEC

Data exchange communication has developed, which leads to centralized communication, and to achieve this communication requires a type of data communication whose data is accommodated on the server and can be accessed by clients, such as at organization. As a company engaged in education, the development of centralized data communication by utilizing the intranet network has been formed. The use of an intranet network allows data communication that is vulnerable to wiretapping. To fix this using a VPN network. L2TP and IPsec VPNs have different performances, especially in the level of security provided. In this study, an analysis of the L2TP and IPsec VPN network performance was carried out on the SMB Server on the Ubuntu server and the Mikrotik router for its VPN configuration. In this study, the L2TP and IPsec VPN was designed by configuring the Mikrotik RB 450G router and the SMB Server configuration using Command Line Interface on Ubuntu 18.04 server. For security analysis, use hacking methods to get VPN Server login data and sniffing methods to get SMB Server login data and SMB data. For performance analysis using parameters of delay, throughput, and packet loss. Wireshark is software for checking by capturing each packet of data from an interface. The research objective to be achieved is to design a VPN technology based on L2TP & IPSec, to be able to determine the resulting performance after implementing a VPN based on L2TP & Ip Sec. The result is that VPN can connect from HO to branch one and branch two or connect from public connection to local connection. The Ubuntu server used is also running well, so it helps the VPN process properly.

DAWM: Cost-Aware Asset Claim Analysis Approach on Big Data Analytic Computation Model for Cloud Data Centre

The heterogeneous resource-required application tasks increase the cloud service provider (CSP) energy cost and revenue by providing demand resources. Enhancing CSP profit and preserving energy cost is a challenging task. Most of the existing approaches consider task deadline violation rate rather than performance cost and server size ratio during profit estimation, which impacts CSP revenue and causes high service cost. To address this issue, we develop two algorithms for profit maximization and adequate service reliability. First, a belief propagation-influenced cost-aware asset scheduling approach is derived based on the data analytic weight measurement (DAWM) model for effective performance and server size optimization. Second, the multiobjective heuristic user service demand (MHUSD) approach is formulated based on the CPS profit estimation model and the user service demand (USD) model with dynamic acyclic graph (DAG) phenomena for adequate service reliability. The DAWM model classifies prominent servers to preserve the server resource usage and cost during an effective resource slicing process by considering each machine execution factor (remaining energy, energy and service cost, workload execution rate, service deadline violation rate, cloud server configuration (CSC), service requirement rate, and service level agreement violation (SLAV) penalty rate). The MHUSD algorithm measures the user demand service rate and cost based on the USD and CSP profit estimation models by considering service demand weight, tenant cost, and energy cost. The simulation results show that the proposed system has accomplished the average revenue gain of 35%, cost of 51%, and profit of 39% than the state-of-the-art approaches.

Reducing Complexity of Server Configuration through Public Cloud Storage

Hosting networking applications typically involves a server publicly accessible over the Internet. However, preparing a server requires excessive time and effort, particularly for non-expert users. This is because users configure multiple elements including the server, host firewalls, and network firewalls, while considering their interactions. To address this problem, we propose a method that uses public cloud storage, such that all messages are communicated through the storage between the server and clients. As the storage is public and accessible over the Internet, users need not consider firewalls and can focus on configuring the server. We implemented the proposed method for web applications and evaluated its performance by accessing applications from 90 hosts in diverse locations. The evaluation showed that the proposed method does not incur extra delays and clients can access the applications as reliably as the current practice of configuring servers. We also recruited 54 participants and examined the time required to configure a server with the proposed method compared to configuration using current practice. This study demonstrated that the proposed method reduces configuration time from 40−60 to nearly 30 min. We believe that the proposed method provides a basis for improving the manageability of server configuration.

Demystifying the role of public intrusion datasets: A replication study of DoS network traffic data

Public intrusion datasets are contributing to make security research accessible to a large community of users, but are often trusted and reused neglecting the actual impact of the attacks therein on victim services. This paper documents a study aimed to assess whether the attacks provided by public datasets are impactful on their targets. DoS traffic data from five public datasets (CICIDS2017, ISCXIDS2012, NDSec-1 2016, MILCOM 2016 and SUEE 2017) are replayed, monitoring the performance of the victim server under different defense, configuration and load conditions. The obtained results show a partial ineffectiveness of the attacks of the datasets in the presence of defense mechanisms and suitable server configurations. These results pave the way for the construction of more rigorous datasets, collected on documented and realistic server configurations and reflecting actual traffic conditions under normative operations and disruptive attacks.

Perception value of product-service systems: Neural effects of service experience and customer knowledge

Digital trends in product-service system (PSS) development focus on developing win-win solutions for both companies and customers, particularly when considering human behavior issues. It is useful for the PSS provider to know the PSS value creation mechanism when customers are buying and utilizing a PSS, particularly in the service-dominant logic (SDL) and cognitive neuroscience perspective. This study solved the PSS implementation that satisfied the demands of both customers and manufacturers and the value cocreation mechanism during product and service configuration with the impacts of consumer learning and the service experience. The proposed neuroscience methodology is based on an ERP (event-related potential) experiment using PSS stimuli, representing the perception value creation process during customer decision making and the PSS configuration process. The effectiveness of the service experience is more important than customer knowledge during PSS value perception due to positive emotions with pleasant memories for the service experience and the conflicting cognition process of customer learning. The combination of service science and neurology may measure and observe human behavior and psychology through the brain science method and effectively solve the human factors in service science. The findings suggest a more objective and personalized understanding of PSS value perception, particularly the practical requirements of a resulted-oriented PSS and an application-oriented PSS.

Resource Analysis of the Log Files Storage Based on Simulation Models in a Virtual Environment

In order to perform resource analyses, we here offer an experimental stand on virtual machines. The concept of how to measure the resources of each component is proposed. In the case of system design, you can estimate how many resources to reserve, and if external modules are installed in an existing system, you can assess whether there are enough resources and whether the system can scale. This is especially important for large software systems with web services. The dataset contains a set of experimental data and the configuration of virtual servers of the experiment in order to conduct resource analyses of the logs.

Water ambulances and the challenges of delivering mobile emergency healthcare to riverine and maritime communities.

• Riverine and Maritime areas demand special configurations of mobile emergency health services. • In Brazil, water ambulances must deliver care to very remote and diverse areas, such as indigenous communities. • The design of water ambulances, the environment, as well as the geography of the places covered, hinder the availability of services.

Cooling-Aware Optimization of Edge Server Configuration and Edge Computation Offloading for Wirelessly Powered Devices

Edge computing (EC) provides an effective means to cope with explosive computation demands of the Internet-of-Things (IoT). This paper presents a new cooling-aware joint optimization of the CPU configuration of the edge servers, and the schedules of wireless power transfer (WPT), offloading and computing for WPT-powered devices, so that the resource-restrained devices can have tasks accomplished in a timely and energy-efficient manner. Alternating optimization is applied to minimize the total energy consumption of WPT, EC, and cooling, while satisfying the computation deadlines of the devices. A key aspect is that semi-closed-form solutions are derived for the WPT power, offloading duration, and CPU frequency by applying the Lagrange duality method. With the solutions, the alternating optimization converges quickly and indistinguishably closely to the lower bound of the energy consumption. The semi-closed-form solutions also reveal the structure underlying the optimal solution to the problem, and can validate the result of the alternating optimization. Extensive simulations show that the proposed algorithm can save up to 90.4% the energy of existing benchmarks in our considered cases.

Shared services: configurations, dynamics and performance

PurposeThe purpose of this paper is to explore the configurations of shared service center (SSC) characteristics, their performance implications and the dynamics of SSC configurations during their implementation.Design/methodology/approachThis study uses the capability-based view and configurational approach to suggest a model that explains performance outcomes of shared service configurations. Survey data are analyzed with a cluster analysis to examine shared service configurations in distinct stages of implementation. Moreover, a lifecycle framework of shared service configurations is conceptualized.FindingsThis study considers shared service configurations as operational capabilities to run corporate support activities. The purpose is to examine the configurations of those capabilities, their performance implications and their dynamics during the shared service implementation.Practical implicationsThe findings help senior executives to effectively implement and transform shared services when deciding to renew corporates' support activities.Originality/valueThis study is one of the first that conceptually and empirically explores shared service configurations, performance and configurational dynamics.

A snapshot in time: a 1-month review of all referrals to paediatric liaison psychiatry services in Dublin following emergency department presentation.

An emerging picture has seen increasing numbers of young people with mental health crisis attend paediatric emergency departments in Ireland. Following paediatric review, many are referred to in-house paediatric liaison psychiatry (PLP) services. This pilot study describes referral patterns and practice over a 1-month period across three Dublin centres. Case notes of all referrals to PLP were reviewed to extract relevant clinical and administrative data. For those admitted, costs associated with length of stay were estimated. Clinical profile, management and intra-hospital pathway differences were explored. Fifty-nine young people under 16 years presented to one of the three EDs with an acute MH presentation. The sample consisted of39 females (66%) with a mean age of13.7 years. The majority (n = 34, 58%) presented out of hours. A substantial portion of youths presenting(n = 37, 63%) were admitted, and had a mean duration of stay of 4.51 days. There were differences between hospitals in terms of frequency of presentation with self-harm, admission ratesand length of stay. Different PLP service configuration, staffing and funding streams may explain some of the differences observed across centres, although the findings should be interpreted with caution given the limited sample size. Standardisation of service provision and management is needed for PLP services. Additional community CAMHS resourcing is needed to support the development of alternative pathways for youth in need of urgent MH review.

A framework for credit-driven smart manufacturing service configuration based on complex networks

ABSTRACT Complex cooperative relationships between manufacturing equipment and services make such manufacturing networks have necessary research significance in network science. Under the prevailing background of mass customizing, the continuous coordination between manufacturing services (MSs) in the cloud platform is pulling the complex cooperative relationship between equipment and even enterprises, which constitutes a complex manufacturing network (CMN) from a macro perspective. In this paper, a credit-driven service configuration method is proposed, which is tactfully modeled on the reputation system of Uber. Under such circumstances, MSs could be evaluated combining theirexecution states and historical manufacturing behaviors and chosen as the most appropriate service under the current processing condition to tackle the manufacturing tasks according to customers’ requests accurately. Results in the proof-of-concept simulation show that credit is well integrated with the manufacturing process, and could be utilized to drive the CMN with a four-tier networked architecture on the whole, in which it is taken as the benchmark for the service-and-task smart matching in cases where customer requirements and manufacturing process stability are paramount. Credit also effectively assists MSs in exception self-organization and restrains the diffusion of the influence range of the deterioration of service credit when faced with service failures.

Simulation of Potential Use Cases for Shared Mobility Services in the City of Ann Arbor

In this paper, we model and simulate special use cases of on-demand shared mobility services for the City of Ann Arbor, MI. We define shared mobility as any motor-vehicle-served transportation option between private vehicles and public transit, such as taxis, demand-responsive transit, and dynamic shuttles. Here, we present and evaluate a suite of four different service types that could potentially complement existing transportation services in Ann Arbor. A novel aspect of this study is that it tests scenarios that were developed in consultation with city planners looking for insights into real-world problems. This study used fleet simulation software to test four service configuration scenarios for a hypothetical on-demand shared mobility service: citywide shuttle, a corridor-based downtown shuttle, a park and ride shuttle, and a transit-complementary service. Three levels of demand were tested for each scenario: 3%, 9%, and 15% of all private vehicle trips in the city. Findings indicated that citywide on-demand shared mobility services struggled to achieve higher vehicle occupancies than private vehicles at approximately 1.4. Service configurations with aggregated trip density resulted in slightly improved occupancies, as found in downtown- and park and ride shuttle scenarios. More impactful was aggregating demand by moving from “many-to-many” routing as with citywide floating services to “many-to-one” routing as with downtown- or park and ride shuttle services, which increased vehicle occupancy from 1.4 to almost 2. Lastly, we also discuss the potential benefits of reduced congestion and parking needs.

A Correct-by-Construction Model for Verifying Transactional Composite Services Configuration

Reusability is a central concept of Web services as it allows for the construction of composite Web services at a lower cost/effort. Web services offer diverse functional capabilities (e.g., ticket purchase, hotel booking) and inherent transactional properties. However, due to the lack of an explicit and formal description of these functional and transactional perspectives, the correctness of the transactional reliability and functional properties cannot be verified. The composite Web service reliability is computed using a set of transactional requirements defined by designers throughout the Accepted Termination States (ATS) concept. The main objective of this article is to introduce a formal model of the Web service configuration and its correctness requirements that permit to ensure the correct Web service execution from functional and transactional points of view. For that purpose, we developed a Correct Configuration Model for Transactional Composite Services (CCM4TCS) using the <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Event-B</small> method. This model is used to formally validate the consistency of composite Web service configuration’s properties and requirements. It allows also to check the correctness of ATS constraints that we use as reliability parameters. The correctness and the validation of our model are ensured by discharging proof obligations and by animating the specification using the ProB model-checker.

Implementation and Design of Wireless IoT Network using Deep Learning

The Internet of Things (IoT) is a technology and plays a key role in just this process. In designing better cities,embedded devices include this new technology, which the internet is similar to everybody. IoT solutions are spread through different regions, such as agriculture, healthcare, the motor industry, education, and home automation, etc. wireless communication (WC) is now becoming an efficient role for incorporating wireless communicationenvironment, computers, organizations, and governments. WC is a budding technology in IoT, and it involves further learning. This dilemma motivates the authors to suggest a standardized IoT WC system. The formation is subdivided into four tiers, according to the IoT architecture. The initial two steps concentrate on the design of Sensors and gateways; cloud integration is identified in the third stage, the server configuration is discussed in the fourth stage, and cloud integration is listed in the third stage user interface is seen in the fifth stage. Proposed, hence, the solution enables the IoT application developer's work. The design using the clean energy consumption case study. Sensors and Raspberry pi are used in the application to quantify and then provide electricity usage using wireless communication between the devices consumed by the home or building. This provides the client with a rising knowledge of the pattern of power consumption and the usage of electricity using Recurrent Neural Network(RNN).

On the Origin of Queries: Where Chat Reference Questions Begin

Academic libraries providing chat reference services have a range of options for where and how library users can engage with chat providers. These entry points can be static or proactively invite users into the service. The study compares the URLs from which users entered chat reference at three large public research libraries in the United States. The URLs show where users were when they sought assistance with library tasks. This exploratory investigation is important for extending knowledge of user help-seeking behavior and how chat service configuration may impact use. Data are variables related to chat interactions (n = 19,839) at Bowling Green State University (BGSU), University of Illinois Chicago (UIC), and University of New Mexico (UNM) in three semesters 2019–20. Findings show users originated most chats from either the library website or discovery layer; chat initiations from other resources are minimal; chat traffic increased at all three during the COVID-19 pandemic.