Enterprise Scenarios Research Articles

Lightweight data bridge for connecting self-service end-user analytic tools to NGSI-based IoT systems

The FIWARE and related projects aim to provide an open, sustainable ecosystem based on public standards and royalty-free that accelerates the development of Smart Solutions. The broker (Orion, Scorpio and Stellio) and additional components, named Generic Enablers (GE), provide means for collecting IoT data and feeding a data layer. The NGSI standard has a structural role in terms of interoperability, thus promoting the development of new GEs. However, this standard is not being adopted in analytic tools. In general, these tools connect to the IoT backend databases, which poses problems regarding data access control management and requires specialised IT support. Thus, it is not well suited for enterprise scenarios like, for instance, smart agriculture or smart industry, in which self-service tools, such as Power BI, Tableau and Qlik, are frequently used.We propose a lightweight connector for data analytic tools and IoT ecosystems based on NGSI-v2/NGSI-LD/NGSI-TSDB. The proposed system provides web services based on JSON and CSV formats that those tools use without applying complex transformations in the data. Thus, non-technical business users can consume IoT data on demand and use all the analytical capabilities of these tools. We tested the system in an educational scenario where dashboards and analytics processes were developed with minimal effort. The system has implemented a mechanism for access control management at the service/tenant level and several querying features. The system is now being implemented in a real public service scenario. In future versions, we intend to improve the system in terms of performance, security and add more query features.

Reliable Actors with Retry Orchestration

Cloud developers have to build applications that are resilient to failures and interruptions. We advocate for a fault-tolerant programming model for the cloud based on actors, retry orchestration, and tail calls. This model builds upon persistent data stores and message queues readily available on the cloud. Retry orchestration not only guarantees that (1) failed actor invocations will be retried but also that (2) completed invocations are never repeated and (3) it preserves a strict happen-before relationship across failures within call stacks. Tail calls can break complex tasks into simple steps to minimize re-execution during recovery. We review key application patterns and failure scenarios. We formalize a process calculus to precisely capture the mechanisms of fault tolerance in this model. We briefly describe our implementation. Using an application inspired by a typical enterprise scenario, we validate the functional correctness of our implementation and assess the impact of fault preparedness and recovery on performance.

DeepContext: Mobile Context Modeling and Prediction Via HMMs and Deep Learning

Mobile context determination is an important step for many context-aware services such as location-based services, enterprise policy enforcement, building/room occupancy detection for power/HVAC operation, etc. Especially in enterprise scenarios where policies (e.g., attending a confidential meeting only when the user is in &#x201C;Location X&#x201D;) are defined based on mobile context, it is paramount to verify the accuracy of the mobile context. Most of the existing solutions rely on context obtained directly from sensors which could be hacked, noisy or insufficient, which cannot be relied upon for security applications. In this article, we take a different approach by modeling mobile context based on past context data of related users and considering its unique challenges such as missing features. To this end, we propose three models for modeling mobile context based on symbolic time series data of feature-value pairs&#x2014;two stochastic models based on the theory of Hidden Markov Models&#x00A0;(HMMs) and one model based on deep learning&#x2014;<i>personalized model</i> (<i>HPContext</i>), <i>collaborative filtering model</i> (<i>(HCFContext)</i>), and <i>deep learning model</i> (<i>DeepContext</i>) to eventually replace <i>HPContext</i>. <i>HPContext</i> and <i>DeepContext</i> predict the current context using sequential history of the user&#x0027;s own past context observations; while <i>HCFContext</i> enhances the former with collaborative filtering features, which enables it to predict the current context of the primary user based on the context observations of users related to the primary user, e.g., same team colleagues in the company, gym friends, family members, etc. <i>DeepContext</i> models mobile context based on symbolic (i.e., categorical valued rather than continuous-valued) time series data using deep learning techniques. These models are then used to determine the context of the primary user at the current instant or some timesteps in to the future. Each of the proposed models can also be used to enhance or complement the context obtained from sensors. Finally, these models are thoroughly validated on a real-life dataset.

Power Grid Resource Integration of Enterprise Middle Station based on Analytic Hierarchy Process

With the transformation from smart grid to power Internet of Things, new power businesses such as power grid automation and power quality monitoring are constantly emerging. The load environment of power grid is changeable. In order to meet the needs of multi-service, the integrated access scheme for power grid resources in power enterprises is gradually diversified, which brings challenges to the unified management and control of power grid communication network. In this paper, SDN technology is used to improve the operation and maintenance management and control of power communication network, which aims at the integration scheme of power grid resources in power enterprises. Based on the controller cluster technology, combined with the new power business requirements, this paper designs a software-defined network centralized control architecture of the new business of power communication network. The architecture realizes the operation and maintenance management of network resources under the centralized control architecture of typical enterprise scenarios, such as power grid enterprises. The convergence speed is improved by 27%. The minimum value of iterative convergence is 31% better than that of other methods. The system requirement is reduced by 13.5%, which is helpful to improve the efficiency of node dynamic allocation and ensure the need of large-capacity data transmission of smart grid. The research in this paper can realize the two-way interaction, real-time expansion and unified deployment of power business in the future, and promote the intensive and lean development of power communication network.

Investigation and Evaluation of IEEE 802.11n WLANs Link Features Performance Under Single Host and Concurrent Communication

For an efficient design of wireless local-area networks (WLANs), the simulation tools are important to accurately estimate the IEEE 802.11n/ac link features for WLANs. However, this true simulation of network behavior is critical in designing high-performance WLANs. Through testing, analysis, and modeling of the proposed scheme repetitively, the design of the WLAN can be enhanced with a small budget before making its practical implementation. Many network simulation tools have been established to give solutions for this request and ns-3 is the most widely used tools among them by the research industry as an open-source network simulator. In this paper, we examine the various link features of the 802.11n WLANs under several conditions. We investigate the effects of 802.11n WLAN modulation and coding schemes (MCSs), 20MHz single channel or 40 MHz bonded channel, guard intervals (GI), frame aggregation, data encoding, number of antennas and their data rate, and link distance features of 802.11n WLAN in ns-3 when only a unique host connects with the access point (AP) and generates data traffic. Besides, the performance for an enterprise scenario proposed by the IEEE 802.11ax study group is evaluated when several hosts are simultaneously creating traffic with their associated APs. The results demonstrate that ns-3 support most of the link features of the 802.11n protocol with significant accuracy.

Development of scenarios for industrial enterprises asset management using cognitive analysis and graph theory

Development of scenarios for industrial enterprises asset management using cognitive analysis and graph theory

Establishing the Digital Transformation Strategies for the Med-Tech Enterprises Based on the AIA-NRM Approach

The medical technology (Med-Tech) industry turnover has reached a record high, attracting a great deal of capital investment, while mergers and acquisitions continually increase. In order to move to a higher value-added segment, traditional Med-Tech manufacturers have to transform into digital smart manufacturers. This development trend promotes industrial operators of Med-Tech to consider how to strengthen professional competence, expand their market, and determine the future direction. This study proposed the value-driving forces of Med-Tech enterprise, based on five aspects: Professional competence (PC), operation management (OM), critical resources (CR), regulatory system (RS), and market expansion (ME). Then, the acquisition and importance analysis (AIA) and the network relation map (NRM) approaches were proposed and implemented to find an optimal pathway for a Med-Tech enterprise to implement digital transformation. Our findings suggest that Med-Tech enterprises should treat RS as the priority in transformation. Finally, based on small- and medium-sized Med-Tech enterprise scenarios, we propose four development strategies (direct acquisition, strategic alliance, maintenance status, and in-house development) should be decided in the digital transformation process.

Scenarios for small and medium enterprises provisions in USMCA renegotiation. A critical analysis of challenges and opportunities

The objective of this document is to establish some scenarios for small and medium enterprises (SMEs) based on a critical analysis of the provisions in the renegotiation of the United States-Mexico-Canada Agreement (USMCA), its challenges and opportunities. The critical analysis starts from the questionable position of USMCA’s withdrawal and its consequences for SMEs of not giving continuity through a renegotiation process between the three partners. Based on some sources of information, the study of the results of the North American Free Trade Agreement (NAFTA) and the USMCA, and the strategic review of their challenges and opportunities for SMEs, some possible scenarios are established after the renegotiation of the USMCA, as well as some strategic proposals for SMEs.

Software-Defined Perimeter (SDP): State of the Art Secure Solution for Modern Networks

The boom in the evolution and adoption of new technologies, architectures, and paradigms such as cloud computing, SDN, and NFV in recent years has led to a new set of security and privacy challenges and concerns. These challenges/ concerns include proper authentication, access control, data privacy, and data integrity, among others. SDP has been proposed as a security model/framework to protect modern networks in a dynamic manner. This framework follows a need-to-know model where a device's identity is first verified and authenticated before gaining access to the application infrastructure. In this article, a brief discussion of the security and privacy challenges/concerns facing modern cloud-based networks is presented along with some of the related work from the literature. The SDP concept, architecture, possible implementations, and challenges are described. An SDP-based framework adopting a client-gateway architecture is proposed with its performance being evaluated using a virtualized network testbed for an internal enterprise scenario as a use case. To the best of our knowledge, no previous work has provided a quantitative performance evaluation of such a framework. Performance evaluation results show that the SDP-secured network is resilient to denial of service attacks and port scanning attacks despite needing longer initial connection setup time. The achieved results confirm the promising potential of SDP as a security model/framework that can dynamically protect current and future networks.

A Safe and Secure Access for Distributed Resources for Enterprise Cloud

Cloud computing is undergoing a perpetual advancement and new developments through distributed computing approaches and implementation of advanced virtualization technologies within the framework of recent powerful computing and web management systems. As Cloud computing evolves, the organizations can manage their data with small operational expenses. With the use of web services, cloud computing allows access to ubiquitous data storage and utilization of resources. On the other hand, the benefits of cloud computing come along with issues and challenges such as data security, reliability and availability of the resources in the cloud. In this paper, we present the design of a secure Resource Management System to monitor and control the geographically distributed resources in various segments under the enterprise scenario.

Q-grams-imp: an improved q-grams algorithm aimed at edit similarity join

Similarity join is more and more important in many applications and has attracted wide-spread attention from scholars and communities. Similarity join has been used in many applications, such as spell checking, copy detection, entity linking, pattern recognition and so on. Actually, in many web and enterprise scenarios, where typos and misspellings often occur, we need to find an efficient algorithm to handle these situations. In this paper, we propose an improved algorithm on q-grams called q-grams-imp that is aimed at solving edit similarity join. We use this algorithm in order to reduce the number of tokens and thus reduce space costs, so it is fit best for same size strings. But for different sizes of strings, we need to handle these strings in order to fit for the algorithm. Finally, we conclude and get the results that our proposed algorithm is better than the traditional method.

A Critical Analysis of Scenarios for Small and Medium Enterprisee in NAFTA renegotiations

The aim of this paper is to set some scenarios for small and medium enterprises (SMEs) from a critical analysis of the provisions in the North American Free Trade Agreement (NAFTA) renegotiation, its challenges and opportunities. The critical analysis departs from the questionable position of the withdrawal from NAFTA and their consequences for SMEs of not giving continuity through a process of renegotiation among the three partners. The method used is the critical analysis based mainly in some sources of information, analysis of results of NAFTA, and the strategic examination of its challenges and opportunities for SMEs. Finally, the analysis establish some possible scenarios post-NAFTA renegotiation and some strategic proposals for the SMEs

Escenarios para disposiciones de pequeñas y medianas empresas (PYME) en el Acuerdo de Libre Comercio de América del Norte (NAFTA) Renegociación. Un análisis crítico de los desafíos y oportunidades

The aim of this paper is to set some scenarios for small and medium enterprises (SMEs) from a critical analysis of the provisions in the North American Free Trade Agreement (NAFTA) renegotiation, its challenges and opportunities. The critical analysis departs from the questionable position of the withdrawal from NAFTA and their consequences for SMEs of not giving continuity through a process of renegotiation among the three partners. The method used is the critical analysis based mainly in some sources of information, analysis of results of NAFTA, and the strategic examination of its challenges and opportunities for SMEs. Finally, the analysis establish some possible scenarios post-NAFTA renegotiation and some strategic proposals for the SMEs.

A public opinion survey of four future scenarios for Australia in 2050

Scenario planning and the use of alternative futures have been used successfully to assist organisations, communities and countries to move towards desired outcomes (Dator, 2009). In this study we used a unique combination of scenario planning and a national public opinion survey to explore preferred futures for Australia in 2050. The approach used four future scenarios for Australia in 2050 as the basis for an online national public opinion survey entitled Australia: Our Future, Your Voice. Scenario development was based on a review of a broad range of scenarios for Australia and globally. We then developed four synthesis scenarios based on two axes of individual versus community orientation, and national focus on GDP growth versus a focus on well-being more broadly defined. The scenarios were labelled: (1) Free Enterprise (FE); (2) Strong Individualism (SI); (3) Coordinated Action (CA); and (4) Community Well-being (CW). We created a website that described each of these scenarios and invited people to complete a survey after they had reviewed the scenarios.The survey engaged 2575 adults in two groups: (1) a targeted statistically representative national sample (n = 2083) and (2) a self-selected sample (n = 492). Results from both groups and across all demographic categories revealed that a majority of participants preferred the Community Well-being (CW) scenario. 73% (Representative) and 61% (Self Select) ranked this scenario as 1st or 2nd. We also asked which scenario Australia was headed toward. 32% of the Representative sample and 50% of the Self-Selected sample participants ranked the Free Enterprise (FE) scenario as the most likely future. CW was ranked least likely to be ‘where Australia is heading?’ The dissonance between the future Australians want and where they thought the country is headed has clear policy implications, which we discuss.This extension of scenario planning to include public opinion surveys is novel and this approach can be used to improve thinking, discussion, planning and policy about the future of Australia, as well as potentially other countries and regions.

Performance analysis of a locality-aware BitTorrent protocol in enterprise networks

Nowadays, distributions of large volumes of data over enterprise TCP/IP networks bring problems such as high network and server utilizations, long periods for completion, and greater sensitivity to flaws in network infrastructure. These problems can be reduced with the use of Peer-to-Peer (P2P) networks, but the standard BitTorrent protocol does not perform well in some scenarios such as the one related to enterprise networks. This work proposes a modification in the BitTorrent protocol that uses locality-awareness to reduce traffic on long distance links of enterprise networks. In this modification, the tracker identifies the peer IP address requesting the list of IP addresses of the swarm and sends only those addresses that belong to the same LAN and to the original seeder. The performance of the proposal has been assessed by simulations. In typical enterprise scenarios, results show that the change is able to reduce bandwidth consumption and time of downloads compared with standard BitTorrent, and gives greater robustness to the distribution in case of failure of WAN links. Results also show that in more complex network environments, with many clients and where the bandwidth restriction on long distance links causes congestion and packet drops, the proposed modification consistently improves distribution performance.

Шестой технологический уклад: некоторые экономические сценарии для предприятий

Шестой технологический уклад: некоторые экономические сценарии для предприятий

ENTERPRISE ACTIVITIES MODELING BY BPMN NOTATION

Depending on the process behavior, available know-how and organizational goals, different techniques and tools can be used for business process modeling. We concentrate on e-commerce, and try to find the best marketing strategy for the sales process improvement. In the paper we present the multilayer approach to define enterprise scenarios. This allows us to collect the suitable knowledge necessary for enterprise analysis and improvement. Moreover, we use BPMN notation to formalize this approach and show its capability for the concrete example of an e-shop.

Architectural and Integration Options for 3D NAND Flash Memories

Nowadays, NAND Flash technology is everywhere, since it is the core of the code and data storage in mobile and embedded applications; moreover, its market share is exploding with Solid-State-Drives (SSDs), which are replacing Hard Disk Drives (HDDs) in consumer and enterprise scenarios. To keep the evolutionary pace of the technology, NAND Flash must scale aggressively in terms of bit cost. When approaching ultra-scaled technologies, planar NAND is hitting a wall: both academia researchers and industry worked to cope with this issue for several decades. Then, the 3D integration approach turned out to be the definitive alternative by eventually reaching mass production. This review paper exposes several 3D NAND Flash memory technologies, along with their related integration challenges, by showing their different layouts, scaling trends and performance/reliability features.

ORGANIZATION OF FINANCIAL PLANNING IN THE UNCERTAINTY

The article investigates a financial planning organization at enterprises in uncertainty. The financial planning mistakes, namely the organization of the planning work and proper planning, have been considered. The expediency of the scenario approach of planning in uncertainty has been substantiated. A financial planning technology based on the construction of enterprise scenarios has been proposed.

To insure or not to insure? Analysis of foresters' willingness-to-pay for fire and storm insurance

Natural catastrophes in forests have become more damaging in recent years and are expected to further increase according to climate change scenarios. Currently, governmental measures mostly focus on providing financial support, such as direct payments, to forest owners after disasters. However, in the light of more weather extremes, this could lead to a heavier financial burden for national budgets. Therefore, the current financial support system has to be reconsidered with regard to privatizing foresters' risks. Insurance could play a key role, but in many countries forests are rarely insured. In order to explain insurance coverage, we analyzed foresters' preferences regarding fire and storm insurance, which are expressed as their willingness-to-pay (WTP). Therefore, we measured the risk attitude and conducted a discrete choice experiment with 137 German foresters, using various policy and forest enterprise scenarios. Our results show that most foresters have a very low WTP for insurance, and individual risk attitude was not of significant influence. The WTP was higher for fire than for storm insurance, presumably due to liquidity preservation motives. Policy programs involving unconditional support after disaster reduced the WTP. Instead, subsidized insurance premiums increased the WTP and thus, should be considered to establish an efficient insurance market.