Resource Management Mechanisms Research Articles

МЕНЕДЖМЕНТ РЕСУРСІВ В СИСТЕМІ ЛОКАЛІЗАЦІЇ ІМПЕРАТИВІВ СТАЛОГО РОЗВИТКУ БІЗНЕС СЕРЕДОВИЩА

The article presents author's approaches to the formation of the system of local imperatives of sustainable growth of Ukraine as a theoretical basis for the creation of an effective model of economic activity, equivalent to the ecological subsystem and aimed at restoring the generated capital. The aim of the article is the formation of conceptual bases of constructing of effective mechanism of resources management in the system of localization of sustainable development imperatives of business environment in conditions of post-crisis recovery of Ukraine`s socio-economic. The methodological basis of the research was the positions of classical and modern economic theory, works of domestic and foreign scholars on the issues of sustainable development, government regulation of the economy. The basic hypothesis of the research was the assumption of the necessity to limit and concretize the general world imperatives of sustainable development by narrowing their concept and expanding their content in accordance with the local context of development of the socio-economic system of Ukraine. Statement of the basic material. The results of systematization of objective limitations of implementation of the general imperatives of sustainable development have made it possible to identify relevant national imperatives. These local imperatives provide for the formation of: an effective model of economic activity, equivalent to an ecological subsystem and aimed at the recovery of generated capital and the creation of conditions for the transition to a post-industrial model; an institutional environment and a system of public administration aimed at ensuring the equitable distribution of resources both within the existing generation and between existing and future generations; exclusively economically oriented behavior of agents and overcoming exogenous resource dependence to ensure efficient distribution of endogenous resources over time with adequate consideration of natural capital. Originality and practical relevance of the research. The obtained theoretical and methodological concept has a theoretical relevance and can be transformed into an appropriate applied toolkit for sustainable development strategy formation. Conclusions. The existing system of localization of the imperatives of sustainable development of business environment creates the basis for forming the national strategy of sustainable development aimed at ensuring the integrity (existence) of the socio-economic system of Ukraine. Further research will be focused on the development of instrumental and methodological support of the business environment resource management system

The FORA Fog Computing Platform for Industrial IoT

Industry 4.0 will only become a reality through the convergence of Operational and Information Technologies (OT & IT), which use different computation and communication technologies. Cloud Computing cannot be used for OT involving industrial applications, since it cannot guar-antee stringent non-functional requirements, e.g., dependability, trustworthiness and timeliness. Instead, a new computing paradigm, called Fog Computing, is envisioned as an architectural means to realize the IT/OT convergence. In this paper we propose a Fog Computing Platform (FCP) reference architecture targeting Industrial IoT applications. The FCP is based on: deter-ministic virtualization that reduces the effort required for safety and security assurance; middle-ware for supporting both critical control and dynamic Fog applications; deterministic networking and interoperability, using open standards such as IEEE 802.1 Time-Sensitive Networking (TSN) and OPC Unified Architecture (OPC UA); mechanisms for resource management and or-chestration; and services for security, fault tolerance and distributed machine learning. We pro-pose a methodology for the definition and the evaluation of the reference architecture. We use the Architecture Analysis Design Language (AADL) to model the FCP reference architecture, and a set of industrial use cases to evaluate its suitability for the Industrial IoT area.

Ritual as resource management.

This paper argues that rituals are mechanisms of resource management. The argument is based on four observations: (i) over the course of hominin evolution, fitness became contingent on psychological states; (ii) these psychological states can be understood as 'resources', not unlike material resources such as energy, food or fuel; (iii) ritual 'manages' these psychological resources-meaning that it cultivates, builds and directs them; and (iv) ritual management can be analytically decomposed, providing a new descriptive tool for understanding rituals and predictions about ritual survival. This article is part of the theme issue 'Ritual renaissance: new insights into the most human of behaviours'.

Small Cell Planning: Resource Management and Interference Mitigation Mechanisms in LTE HetNets

In an attempt to address the huge data demand of indoor mobile users and poor signal strength from outdoor base stations to indoor environments, opertaors have started deploying variety of small cells likes Femtos, picos and micro cells. In this work, we used Femtos as small cells. Femto cells are low-cost, low-power consuming cellular base stations which operate only in licensed spectrum and are designed for both outdoor and indoor communication. Although small cells can be used for enhancing network capacity and coverage, arbitrary deployment of large number of small cells can lead to increase in operators expenditure and may create severe interference issues for cell edge users. In this paper, we look into optimal placement of small cell solutions to improve data rates of users in LTE HetNets using Femtos. Besides, these solutions address the main concerns of interference and resource management by proposing mechanisms for optimal placement of Femtos (OptFP, MinNF), dynamic power control and bandwidth allocation in Femtos (SOPC) and dynamic offloading. We provide a comparison of placement solutions and the applicability of each proposal keeping the operators’ revenue in mind.

Human Resource Management and Labor Relationship Adjustment Mechanism of Port Freight Trade Enterprises

Yang, H., 2020. Human resource management and labor relationship adjustment mechanism of port freight trade enterprises. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 629–633. Coconut Creek (Florida), ISSN 0749-0208.In view of the problem that the human resource management and labor relationship adjustment mechanism of the original port freight trade enterprise has poor ability to control the operation cost of the enterprise, the human resource management and labor relationship adjustment mechanism of the new port freight trade enterprise is designed. Based on the above two parts, the relationship stability coefficient is set to realize the reasonable adjustment of human resource management and labor relationship. Through the comparison with the original adjustment mechanism, it can be seen that the control ability of this adjustment mechanism for the operation cost of enterprises is better than the original adjustment mechanism. In conclusion, the human resource management and labor relationship adjustment mechanism of port freight trade enterprises have better effect.

Priority-Based Bandwidth Management in Virtualized Software-Defined Networks

In Industrial Internet of Things (IoT) applications, when the network size increases and different types of flows share the bandwidth, the demand for flexible and efficient management of the communication network is compelling. In these scenarios, under varying workload and flow priorities, the combined use of Software-Defined Networking (SDN) and Network Virtualization (NV) is a promising solution, as such techniques allow to reduce the network management complexity. This work presents the PrioSDN Resource Manager (PrioSDN_RM), a resource management mechanism based on admission control for virtualized SDN-based networks. The proposed combination imposes bounds on the resource utilization for the virtual slices, which therefore share the network links, while maintaining isolation from each other. The presented approach exploits a priority-based runtime bandwidth distribution mechanism to dynamically react to load changes (e.g., due to alarms). The paper describes the design of the approach and provides experimental results obtained on a real testbed.

FORMATION THE MECHANISM OF RESOURCE MANAGEMENT OF POTENTIAL OF AGRICULTURAL ENTERPRISES

Introduction. The system of restrictions in resource use in agriculture is ineffective, because it is artificiality in managerial influence. However, objective conditions have a significant impact. On the one hand, the resource potential of an agricultural enterprise is based on mechanism of biological systems development and management practice should be based on them. On the other hand, the management of an agricultural enterprise is guided by the strategic goal of maximizing the return of resources and its purpose in generating profit. Thus, there is a contradictory process of ensuring the productive capacity of natural resources and the formation of appropriate financial and economic performance of attracted resources at the heart of resource potential management. Methods. Studies are conducted on the basis of abstract and logical, and constructive methods. The methodological basis in preparing the material made dialectical method of knowledge of social and economic phenomena. Results. The initial problems of instability of resource use are analyzed in the course of the research. The solution of it is put in the formation of the main components of the mechanism of resource management of agricultural enterprises potential. It is established that a mandatory element is to take into account the time factor when planning resources and forecasting the profitability of the economic model of an agricultural enterprise. It is proved that the mechanism of resource management of agricultural enterprises potential should be based on the development of the economic potential of management practice. It is proposed to use the principles and methods of financial and investment management in the resource potential management system of agricultural enterprises. Discussion. Therefore, the of resource management of agricultural enterprises potential is to determine ecologically acceptable sequence of technological regimes for growing cultures in science-based agriculture and implementation marketing benefits in existing and future financial and economic conditions. The implementation of the mechanism concept ensures effective balancing of a wide range of tasks, which is the basis for sustainable development of an agricultural enterprise. Keywords: resource potential, management mechanism, economic potential, resource management mode, sustainable development.

Simulating Resource Management across the Cloud-to-Thing Continuum: A Survey and Future Directions

In recent years, there has been significant advancement in resource management mechanisms for cloud computing infrastructure performance in terms of cost, quality of service (QoS) and energy consumption. The emergence of the Internet of Things has led to the development of infrastructure that extends beyond centralised data centers from the cloud to the edge, the so-called cloud-to-thing continuum (C2T). This infrastructure is characterised by extreme heterogeneity, geographic distribution, and complexity, where the key performance indicators (KPIs) for the traditional model of cloud computing may no longer apply in the same way. Existing resource management mechanisms may not be suitable for such complex environments and therefore require thorough testing, validation and evaluation before even being considered for live system implementation. Similarly, previously discounted resource management proposals may be more relevant and worthy of revisiting. Simulation is a widely used technique in the development and evaluation of resource management mechanisms for cloud computing but is a relatively nascent research area for new C2T computing paradigms such as fog and edge computing. We present a methodical literature analysis of C2T resource management research using simulation software tools to assist researchers in identifying suitable methods, algorithms, and simulation approaches for future research. We analyse 35 research articles from a total collection of 317 journal articles published from January 2009 to March 2019. We present our descriptive and synthetic analysis from a variety of perspectives including resource management, C2T layer, and simulation.

Queuing System with Unreliable Servers and Inhomogeneous Intensities for Analyzing the Impact of Non-Stationarity to Performance Measures of Wireless Network under Licensed Shared Access

Given the limited frequency band resources and increasing volume of data traffic in modern multiservice networks, finding new and more efficient radio resource management (RRM) mechanisms is becoming indispensable. One of the implemented technologies to solve this problem is the licensed shared access (LSA) technology. LSA allows the spectrum that has been licensed to an owner, who has absolute priority on its utilization, to be used by other participants (i.e., tenants). Owner priority impacts negatively on the quality of service (QoS) by reducing the data bit rate and interrupting user services. In this paper, we propose a wireless multiservice network scheme model described as a queuing system with unreliable servers and a finite buffer within the LSA framework. The aim of this work is to analyze main system performance measures: blocking probability, average number of requests in queue, and average queue length depending on LSA frequencies’ availability.

A study of packet scheduling algorithms in long term evolution-advanced

<span lang="EN-GB">The allocation of radio resources is one of the most critical functions performed by the Radio Resource Management (RRM) mechanisms in the downlink Long Term Evolution – Advanced (LTE-Advanced). Packet scheduling concerns itself with allocation of these radio resources in an intelligent manner such that system throughput/capacity can be maximized whilst the required multimedia Quality of Service (QoS) is met. Majority of the previous studies of packet scheduling algorithms for LTE-Advanced did not take the effect of channel impairments into account. However, in real world the channel impairments cannot be obliterated completely and have a direct impact on the packet scheduling performance. As such, this work studies the impact of channel impairments on packet scheduling performance in a practical downlink LTE-Advanced. The simulation results obtained demonstrate the efficacy of RM2 scheduling algorithm over other scheduling algorithms in maximizing the system capacity and is more robust on the effect of the cellular channel impairments. </span>

Minimizing Financial Cost of DDoS Attack Defense in Clouds With Fine-Grained Resource Management

As the cloud systems gain in popularity, they suffer from cyber attacks. One of the most notorious cyber attacks is Distributed Denial of Service (DDoS) attack, which aims to drain the system resources so that the system becomes unresponsive to the genuine users. DDoS attack and defense essentially revolve around resource competition. Many efforts have been made from the perspective of resource investment and management. However, these defending schemes assume that the resources available to defend the attacks are unlimited without taking the financial cost into account. Such coarse-grained defense strategies could cause the problem of resource overprovisioning, which would incur unwanted extra costs to the defender. To tackle this issue, we systematically investigate the problem and propose a birth-death-based fine-grained resource management mechanism, which can both scale in/out and scale down/up. That is, the proposed mechanism adaptively selects the optimal resource leasing mode for cloud service customers so that they can defeat the DDoS attack with minimal financial cost. Extensive analyses and empirical data-based experiments are conducted. The results show both the effectiveness and efficiency of the proposed approach. Comparing to existing work, our proposal can averagely save 53.58% (up to 93.75%) of the cost for the attack defense.

Commitment to Human Resource Management of the Top Management Team for Green Creativity

Drawing on the upper echelons theory and targeted at Chinese coal enterprises, this research examines the interactions of commitment to human resource management on green creativity, and discusses the mediating mechanism of green human resource management (GHRM) between them. The results show that commitment to human resource management indirectly affects the enterprise of green creativity, while GHRM intermediates the process. Environmental regulation positively regulates the relationship between commitment to human resource management (COHRM) and GHRM, as well as the intermediary role of GHRM in the relationship between COHRM and green creativity. This study provides an important reference value for the research of GHRM in China and offers practical enlightenment for the manufacturing and coal industry enterprises to carry out environmental management and achieve sustainable development.

Predicting Multi-Attribute Host Resource Utilization Using Support Vector Regression Technique

Studies on the resource workload demand in cloud computing environment aim at reducing resource wastage by optimizing the resource utilization in a cloud data center. Based on this goal, most of the existing approaches rely on resource management mechanisms such as resource allocation and Virtual Machine (VM) consolidation to reach an ideal solution for reducing resource wastage. Because of instability and high variability of the cloud resource usage and workloads, there is a demand for cloud providers to apply the prediction methods for forecasting the future cloud resource utilization. This paper employs a supervised statistical learning method, i.e., Support Vector Regression Technique (SVRT), to forecast the future usage of multi-attribute host resource. The method is particularly suitable to handle a non-linear cloud resource workload. To improve the prediction accuracy of SVRT, we decide Radial Basis Function as the kernel function of SVRT and apply Sequential Minimal Optimization Algorithm (SMOA) for the training and regression estimation of the prediction method. Besides, compared with the existing work, we consider the multi-attribute cloud resources other than the single resource. The method is employed under eight sets of real-world workloads, which are collected from BitBrain (BB), PlanetLab (PL) and Google Cluster Workload Traces (GCWT). Series of experiments conducted on the workload dataset show the effectiveness of our approach. Based on evaluation metrics, the final results show that the accuracy was enhanced by approximately 4%-16% and the error percentage was reduced by approximately 8%-60% compared with the state-of-the-art methods.

Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges

Internet-of-Things (IoT) refers to a massively heterogeneous network formed through smart devices connected to the Internet. In the wake of disruptive IoT with a huge amount and variety of data, Machine Learning (ML) and Deep Learning (DL) mechanisms will play a pivotal role to bring intelligence to the IoT networks. Among other aspects, ML and DL can play an essential role in addressing the challenges of resource management in large-scale IoT networks. In this article, we conduct a systematic and in-depth survey of the ML- and DL-based resource management mechanisms in cellular wireless and IoT networks. We start with the challenges of resource management in cellular IoT and low-power IoT networks, review the traditional resource management mechanisms for IoT networks, and motivate the use of ML and DL techniques for resource management in these networks. Then, we provide a comprehensive survey of the existing ML- and DL-based resource management techniques in wireless IoT networks and the techniques specifically designed for HetNets, MIMO and D2D communications, and NOMA networks. To this end, we also identify the future research directions in using ML and DL for resource allocation and management in IoT networks.

Framework for Slice-Aware Radio Resource Management Utilizing Artificial Neural Networks

For accommodating the heterogeneous services that are anticipated for the fifth-generation (5G) mobile networks, the concept of network slicing serves as a key technology. Spanning both the core network (CN) and radio access network (RAN), slices are end-to-end virtual networks that share the resources of a physical network. Slicing the RAN can be more challenging than slicing the CN since RAN slicing deals with the distribution of radio resources, which have fluctuating capacity and are harder to extend. Improving multiplexing gains, while assuring the slice isolation is the main challenging task for RAN slicing. This paper provides a flexible and configurable framework for RAN slicing, where diverse requirements of slices are simultaneously taken into account, and slice management algorithms adjust the control parameters of different radio resource management (RRM) mechanisms to satisfy the slices’ service level agreements (SLAs). One of the proposed algorithms is based merely on heuristics and the other one utilizes an artificial neural network (ANN) to predict the behavior of the cellular network and make better decisions in the adjustment of the RRM mechanisms. Furthermore, a protection mechanism is devised to prevent the slices from negatively influencing each other’s performances. A simulation-based analysis demonstrates that in presence of local or global overload of one of the slices, the ANN-based method increases the number of key performance indicators (KPIs) that fulfill their defined SLA targets. Finally, we show that the proposed protection mechanism can force the negative effects of an overloading slice to be contained to that slice and the other slices are not affected as severely.

Transmission of Live Detection Data Based on Modified D2D

While the standardization of live detection process helps ensure safe operation of substation equipment significantly, data transmission between detection equipment and the handheld tablet is still a great challenge. In this article, we propose a communication method for live detection in substations with D2D in licensed band and unlicensed band. Firstly, we analyze the scenario of live detection in substation and compare various near field communication methods. Secondly, we study the key technologies of D2D mainly including spectrum resource management and channel access mechanism. Finally, we perform system level simulation on D2D in licensed and unlicensed band, whose results show that modified D2D can achieve high quality communication between detection equipment and the handheld tablet.

Механізми сталого розвитку міжнародних альянсів авіаційних перевізників

The purpose of the publication is to deepen the theoretical and methodological provisions and develop scientific and practical recommendations for improving the organizational and economic mechanism of resource management of sustainable development of global alliances in the international cluster of passenger air transportation. Strategic bases of formation of the system approach to management of economic resources of participants of alliances are formulated. The list of principles for the implementation of a systematic approach to the management of economic resources of aviation enterprises (UERAP) includes integrity, structure, hierarchy, the relationship between the organizational system and the external environment, adaptability and flexibility, multifacetedness. Thus, integrity is understood as activity on increase of safety of flights (FS) on the basis of strategic management of economic resources of the enterprise which has general character, is shared by all useful within system of functioning by divisions of the enterprise. Multidimensionality reflects the complex structure of the system, which operates taking into account the peculiarities of the deployment of elemental, functional, organizational and dynamic aspects of activity. It is proposed to design systems for improving the efficiency of MERAE in the form of a set of organizational structures, specific forms and methods of management, which ensure an adequate level of FS by implementing measures for effective management of three types of resources (economic, financial and material). The thesis on the possibility of providing a flight safety management system (FSMS) by means of planning organizational measures to identify and eliminate the risks of incidents, cooperation on their prevention by all participants in the air transport system during flights, organizational support and investigation of non-standard events is substantiated. It is proposed to subordinate the FSMS to a clear sequence of organizational structures, responsibilities, guidelines, policies and procedures for managing certain elements of ERAE: personnel, technology, aircraft, information flows, motivation system, quality management. These elements are considered as part of the subsystems of a set of measures to improve the management of ERAE in order to ensure FS.

Institutional environment of the National Qualifications System in the Russian Federation

Methodological approaches to the organization of social and labour relations are systematized. The dynamics of the institutional environment of the labour market and vocational training system interaction in Russia is revealed. The peculiarities of the Russian experience of institutionalization of labour relations in the field of qualifications are shown. Post-industrial development of socio-economic systems, the processes of globalization, the transition of the Russian economy to an innovative model of development, the knowledge economy, the acceleration of scientific and technological progress and other objective challenges have necessitated the development of new human resource management mechanisms. In modern conditions the staff of an organization is considered to be the human capital, i.e. the field for strategic investments, a key factor in ensuring the competitiveness and sustainable development of the country, the region, the sector, the company rather than the costly part of the economy. Currently, one of the main problems of human resourcing for economic growth in the European Union and the Russian Federation is professional and qualification imbalance of supply and demand on the labour market. The National Qualifications System is aimed at solving the problems of linking the labour market with vocational training. Problematic aspects of development of the Russian National Qualifications System are marked.

MECHANISM OF IMPLEMENTATION OF HUMAN RESOURCE MANAGEMENT AT THE ENTERPRISE

The basis for finding new conditions, factors and resources for creating and maintaining the competitiveness of enterprises in a fast-paced global environment are enterprise employees, human resources, their loyalty, motivation, competences and productivity. In addition, the study of human resource management mechanisms gives managers an "action plan" that is based on understanding of the practical role of human resource management in implementing strategic areas of enterprise development, ensuring its competitiveness and reducing human capital costs. Recent studies show that more than 70% of employees of domestic enterprises are not interested in the efficiency of their work. Changing approaches to human resource management is necessary to improve the situation. A new approach is needed to improve people management when human resources are viewed as a source of organizational development. Therefore, the purpose of this work is to develop a mechanism for managing human resources at the enterprise. To obtain conclusions based on reliable information, a system-structural analysis, an abstract-logical method were used as well as the method of comparisons. In the work it is proved that the mechanism of human resources management at the enterprise is a tool for the implementation of the human resource management strategy. The socio-economic functions of the human resource management mechanism are presented. The structure of the human resource management mechanism has been developed, which identifies the processes and tools necessary for the operation of this mechanism. It is substantiated that the strategy, as the main tool for the formation of the human resources management system, is constantly changing, and depending on the needs of the business, various processes are put into operation: the cycle of work organization, human resource planning, motivation and development. The paper describes the processes outlined above, which will help to understand the implementation of these processes in the human resource management mechanism. Thus, the mechanism of human resource management,suggested in the article, made it possible to identify the ways to improve the efficiency of human resource management.

Practical aspects of business administration of process of environmental management in Ukraine and Poland.

The article shows that environmental policy is one of the most important factors for sustainable development of the state. The essence of problems between society and nature is determined by the ever-increasing need for social production in natural resources and the progressive deterioration of human life. Environmental business management is just one of the slices, or aspects of a broader problem that is about streamlining the economy, and the primary entity at which the problem is to be addressed is the environmental enterprise. This issue was addressed through the example of the nature management mechanism in Poland. A comparative analysis of current environmental practices in Poland and Ukraine was conducted. The essence of natural resources has been identified as an object of management of rational environmental management. The basic mechanisms of natural resource management were identified. It should be noted that a feature of the conceptual development of the deployment of productive forces is a high focus on the needs of practice. The current stage of the formation of state regional policy is focused on the effective use of the internal potential of the territory and the formation of a new institutional structure and its implementation at the regional level. By means of comparative analysis, the state-legal mechanism of environmental protection in Ukraine and Poland was compared. Such analysis helps to reveal the effective and ineffective tendencies of nature management, which proposes to transform the results of the analysis with consideration of Ukrainian peculiarities in the management of natural resources in order to improve the level of administration of environmental management processes in Ukraine, which will undoubtedly positively affect the relationship between the community and nature. Recommendations were given on the use of a range of instruments, both administrative and especially economic in nature, which enhance the effectiveness of state regulation in the field of environmental management and ensure the environmental security of regional development.