Resource Control Mechanism Research Articles

Robust Resource Control Mechanism for Connected Support to IoT-Based Sustainable Consumer Electronics for Industry 5.0

Robust Resource Control Mechanism for Connected Support to IoT-Based Sustainable Consumer Electronics for Industry 5.0

Research on dynamic scheduling and perception method of assembly resources based on digital twin

ABSTRACT The uncertainty and dynamic changes in assembly resources can seriously affect the normal operation of the assembly plant. In response to the problems of incomprehensive resource control mechanism, poor timeliness of monitoring data, and low level of scheduling intelligence in the assembly plant, a dynamic scheduling and perception method of assembly resources based on digital twin is proposed so that the uncertainties in the assembly process can be monitored and dealt with in time. In this paper, a dynamic scheduling model of assembly resources based on a digital twin is constructed, and the operation mechanism of assembly resources in the constructed digital twin model is expounded. And the dynamic perception method of assembly resources based on the Petri network is studied in detail, and the perception and interaction models of four assembly resources in the product assembly process are constructed: workpiece, handling equipment, assembly center, and storage area. Finally, combined with the assembly workshop of enterprise A’s frame factory, the Petri network model is simulated with the help of the CPN Tools simulation tool to obtain real-time and simulation data such as assembly resources and workstation operation time are obtained, which provides a scientific basis for the smooth implementation of enterprise assembly plan and dynamic scheduling of assembly resources.

Intellectual capital, social capital components and internal control weaknesses: evidence from Iran’s business environment

PurposeThis paper aims to determine whether there is a relationship between intellectual capital and social capital and internal control weaknesses and assess the relationship between the variables of intellectual capital and social capital and internal control weaknesses.Design/methodology/approachThe statistical population consists of 1,309 firm-year observations from 2014 to 2020. The research hypothesis is tested using statistical methods, including multivariate, least-squares and fixed-effects regression.FindingsThe results demonstrate a negative and significant relationship between intellectual capital, social capital and internal control weaknesses. The study also finds that increased intellectual and social capital quality improves human resource utilization, control mechanism, creativity and firm performance. The results also show that intellectual capital and social capital enhancement will reduce internal control weaknesses in the upcoming years.Originality/valueThis paper is the pioneer study on the relationship between intellectual capital and social capital and internal control weaknesses in Iran, carried out separately and in exploratory factor analysis. This paper considers intellectual capital components for theoretical factor analysis, including human capital, structural capital and customer capital. Internal control weakness is assessed based on financial, non-financial and information technology (IT) weaknesses.

μBench: An Open-Source Factory of Benchmark Microservice Applications

<inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula> Bench is an open-source tool for benchmarking cloud/edge computing platforms that run microservice applications. The tool creates dummy microservice applications that can be customized and executed on a Kubernetes cluster. <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula> Bench allows users to control fundamental properties of the microservice applications it creates, such as service mesh topology, microservices’ behaviors using a portfolio of stress functions (e.g., for CPU, memory, I/O, network) or implementing new ones, microservice-to-microservice API (HTTP or gRPC), etc. Application performance can be evaluated by stochastic or trace-driven workloads. μBench is aimed at researchers and cloud platform developers who lack real microservice applications to benchmark their findings (e.g., new resource control mechanisms, artificial intelligence-driven orchestration, etc.) or wish to thoroughly evaluate their proposals versus a broad set of heterogeneous applications that μBench can create. In addition to the description of μBench, in this article, we show one possible use of it. We compared advantages and disadvantages of microservice architectures versus monolithic ones, and analyzed the performance impact of key architectural choices, such as service mesh topology and the use of replication. For this analysis, we generated several microservice applications with different properties, and two of them are derived from a real cloud dataset.

Energy aware resource control mechanism for improved performance in future green 6G networks

The increasing power consumption and the energy crisis owing to several billion of connected devices raises concern. The battery powered devices or mobile terminals consume a lot of power and led to huge energy overhead. Thus, the need is to design energy sustainable networks which aims for optimum utilization of power resources. 6G enabled networks offer enhanced network coverage along with green communication capabilities and energy-aware resource management. Cell-free Massive MIMO is a promising 6G technology which offers power optimization by allowing only a subset of access points (APs) to serve a particular user. In this paper, the performance of the proposed network is evaluated for different power control methods. The average mean square error (MSE), average signal-to-noise ratio (SNR) and spectral efficiency (SE) are obtained for different users,transmit powers and pilot lengths. An efficient resource management algorithm namely, MIPA-MCAS is proposed which offers Minimum Interference Power Allocation and Maximum Channel gain AP Selection. It is observed that the spectral efficiency obtained at 95% of all user locations improves by 3.39% with the proposed algorithm. In the end, a comparative analysis is carried out with two other algorithms namely, Round-Robin Power Allocation and Maximum Channel gain AP Selection (RRPA-MCAS) and Random Power Allocation and Maximum Channel gain AP Selection (RPA-MCAS) for the proposed and conventional system models.

5G V2V Communication With Antenna Selection Based on Context Awareness: Signaling and Performance Study

Enhanced vehicle-to-everything (eV2X) communication is one of the key challenges to be addressed by the fifth generation (5G) of cellular mobile communications. In particular, eV2X includes some 5G vehicular applications targeting fully autonomous driving which require ultra-high reliability. Although vehicular communications are by default assumed between single antennas located on the roof of the transmitter and receiver vehicles, prior art has shown that there are other antenna positions more suitable for V2X communication, depending on the specific communication context. Antenna selection can be used in this case to select one specific antenna or a subset of them better suited for a certain communication link. In this work, we propose a context-aware antenna selection procedure able to enhance the communication with multi-antenna vehicles. To enable such scheme in 5G systems, we discuss the necessary signaling to extend current 5G radio resource control and radio resource management mechanisms, which are mainly focused on single-antenna communication. The signaling overhead caused by context exchange for antenna selection is analyzed and compared to the overhead when reference signals are exchanged for that purpose instead. Finally, simulation results for a 5G platooning use case are presented to show the advantages of antenna selection.

QoS Aware Predictive Radio Resource Management Approach Based on MIH Protocol

The vision of next-generation wireless networks is based on the heterogeneity of different types of radio access technologies such as LTE/LTE-Advanced, WiMax, and Wi-Fi to achieve the demand of high data rate and good quality of service (QoS) to support multimedia streaming at accuracy levels. As a significant key toward achieving this objective, vertical handover management schemes have been broadly treated in the literature. This later mechanism could be redefined as a process of reallocating resources as result of roaming user from one technology to another. Therefore, the addressed issue is not only how to ensure a seamless mobility and end-to-end QoS guarantee but also how to reassign resource when requested and use all offered capacity without underuse it or overuse it. In this context, we propose a new scheme that involves vertical handover process and resource control mechanism by explicitly using multiple challenges to achieve a load balancing among available radio access technologies in order to improve average system utilization. From the radio resource management point of view, our optimized vertical handover procedure has the three following phases: 1) resource allocation estimation; 2) radio resource allocation decision; and 3) radio resources allocation and allocation notification. Detailed simulation analysis illustrates that our scheme is not complex as well as its ability to provide good performance in terms of overall QoS satisfaction in the system.

Development as recolonization: the political ecology of the Endosulphan disaster in Kasargod, India

ABSTRACTThis paper examines the Endosulphan pesticide disaster in Kasargod, Kerala, India. The paper argues that the pesticide disaster was the culmination of an agrarian modernization project implemented in the region by the state-owned Plantation Corporation of Kerala (PCK). An exploration of the political ecology of the disaster shows the recolonization of residents and nature by PCK through neocolonial forms of centralized and exclusionary spatial and resource control mechanisms. In this context, the paper questions the glorification of the “Kerala model” of development from the standpoints of environmental justice and resource rights, relying on the lived experiences of the people of Kasargod.

Концепция механизма адаптивного управления сетевыми ресурсами

The concept of a mechanism for adaptive control of resources available in a corporate computer network is considered. The main trends in the development of computer networks are described, and the main problems requiring additional research and development are pointed out. The existing methods for distributing load among the available network resources in an automated manner are subjected to a comparative analysis. A mechanism for adaptively altering the network users’ priorities and redirecting the transactions forming the data traffic flows in the peak load modes on the basis of software-defined networking principle is proposed. An algorithm for implementing the developed mechanism is presented. The objective that has been set forth is solved by integrating a dedicated controller into the corporate computer network topology. The abovementioned controller is essentially a computerized module that performs the basic functions of monitoring the network resources, identifying the priority pairs of users initiated the transmission of data blocks, determining the backup routes, creating a data flow tables, and assigning the shaped flows to the network switches. An example corporate computer network is considered, in which high-performance host machines exchange large amounts of data in the real time mode using the main and backup communication channels. The feasibility of the proposed concept of the adaptive network resource control mechanism has been confirmed experimentally. The results of experimental testing carried out on a corporate computer network fragment are presented, which confirm an increase in the data transmission rate between a pair of priority users in comparison with the channel aggregation mechanism.

К 40-летию кафедры прикладной математики: исследования и разработки в области обучения, программирования, информационных технологий и искусственного интеллекта

The concept of a mechanism for adaptive control of resources available in a corporate computer network is considered. The main trends in the development of computer networks are described, and the main problems requiring additional research and development are pointed out. The existing methods for distributing load among the available network resources in an automated manner are subjected to a comparative analysis. A mechanism for adaptively altering the network users’ priorities and redirecting the transactions forming the data traffic flows in the peak load modes on the basis of software-defined networking principle is proposed. An algorithm for implementing the developed mechanism is presented. The objective that has been set forth is solved by integrating a dedicated controller into the corporate computer network topology. The above-mentioned controller is essentially a computerized module that performs the basic functions of monitoring the network resources, identifying the priority pairs of users initiated the transmission of data blocks, determining the backup routes, creating a data flow tables, and assigning the shaped flows to the network switches. An example corporate computer network is considered, in which high-performance host machines exchange large amounts of data in the real time mode using the main and backup communication channels. The feasibility of the proposed concept of the adaptive network resource control mechanism has been confirmed experimentally. The results of experimental testing carried out on a corporate computer network fragment are presented, which confirm an increase in the data transmission rate between a pair of priority users in comparison with the channel aggregation mechanism.

TMCC: An Optimal Mechanism for Congestion Control in Wireless Sensor Networks

Most proposed methods for congestion control of Wireless Sensor Networks (WSNs) have disadvantages such as central congestion control mechanism through the sink node, using only one traffic control or resource control mechanism and also having the same throughput on all nodes. For the purpose of addressing these problems, in this paper, a new congestion control protocol is presented in order to increase network lifetime and reliability of WSNs. Since the priority of generated traffic in network level is not uniform in WSNs, an architecture framework is proposed based on priority of generated traffics for service identification in network level in order to meet better service quality and efficiency. The proposed method called TMCC has been compared with Traffic-Aware Dynamic Routing (TADR) method to show the effectiveness of the proposed method in terms of end to end delay, throughput, power consumption and lifetime of network.

An Adaptive Competitive Resource Control Protocol for Alleviating Congestion in Wireless Sensor Networks: An Evolutionary Game Theory Approach

A wireless sensor networks (WSNs) is composed of small sensors with limited capabilities that are densely distributed in the area. WSNs are subject to more packet loss and congestion. To alleviate congestion, either the source transmission rate should be controlled or the available resources have to be increased. A precision resource control mechanism is necessary to possess an efficient and accurate congestion control. Evolutionary game theory is very useful on the design of large-scale wireless networks. Evolutionary games in large systems provide a simple framework for describing strategic interactions among large number of players. In this paper, we propose an evolutionary game theoretical resource control protocol (EGRC) for wireless sensor networks. EGRC applies evolutionary games to develop a non-cooperative game containing large number of sensors as players for alleviating and controlling congestion in wireless sensor network by utilizing the available resource and controlling radio transmission power. The proposed protocol adjusts the transmission power based on the available energy capacity and node congestion level. Simulation results show the performance of the proposed protocol that improves system throughput, and decreases packet dropping, while saving energy.

Cross‐layer resource control and scheduling for improving interactivity in Android

SummaryAndroid smartphones are often reported to suffer from sluggish user interactions due to poor interactivity. This is partly because Android and its task scheduler, the completely fair scheduler (CFS), may incur perceptibly long response time to user‐interactive tasks. Particularly, the Android framework cannot systemically favor user‐interactive tasks over other background tasks since it does not distinguish between them. Furthermore, user‐interactive tasks can suffer from high dispatch latency due to the non‐preemptive nature of CFS. To address these problems, this paper presents framework‐assisted task characterization and virtual time‐based CFS. The former is a cross‐layer resource control mechanism between the Android framework and the underlying Linux kernel. It identifies user‐interactive tasks at the framework‐level, by using the notion of a user‐interactive task chain. It then enables the kernel scheduler to selectively promote the priorities of worker tasks appearing in the task chain to reduce the preemption latency. The latter is a cross‐layer refinement of CFS in terms of interactivity. It allows a task to be preempted at every predefined period. It also adjusts the virtual runtimes of the identified user‐interactive tasks to ensure that they are always scheduled prior to the other tasks in the run‐queue when they wake up. As a result, the dispatch latency of a user‐interactive task is reduced to a small value. We have implemented our approach into Android 4.1.2 running with Linux kernel 3.0.31. Experimental results show that the response time of a user interaction is reduced by up to 77.35% while incurring only negligible overhead. Copyright © 2014 John Wiley &amp; Sons, Ltd.

ADAPTIVE RESOURCE CONTROL MECHANISM THROUGH REPUTATION-BASED SCHEDULING IN HETEROGENEOUS DISTRIBUTED SYSTEMS

The service-oriented distributed systems such as Gr ids and Clouds are unified computing platform that connect and share heterogeneous resources including computation resource, storage resource, informatio n resource and knowledge resource. While these systems provide a vast amount of computing power their reliability are often hard to be guaranteed. It is due to the increased complexity of processing (e.g. , overhead, latency) that can indirectly affect the s ystem performance. In this study, we addressed the problem of dynamic control for resource management in distributed computing environment. Our dynamic resource control mechanism is designed based on rep utation-based scheduling that aims for sustainable resource sharing. Particularly, each computational resource in the environment has its own reputation value that calculated online by considering the computing capacity and availability. The degree of resource reputation significantly helps in scheduling decisi ons in terms of successful execution while adaptive ly monitoring resource availability. Results demonstra te that our resource control mechanism significantl y increases successful execution, while leading to ro bust resource management.

다중 홉 해양통신망에서 실시간 통합 서비스를 위한 MAC 프로토콜

In this paper, we propose a new frame structure and the underlying dynamic resource control mechanism to support an integrated service, including a real-time (RT) service that requires to serve the end-to-end delay performance, as well as non-real-time (NRT) service, using Self-Organizing Time Division Multiple Access (SO-TDMA)-based MAC protocol in a multi-hop ad-hoc maritime communication network. The underlying frame structure is dynamically configured by resource allocation to guarantee the average target outage performance of the real-time service. Toward this end, we analyze the average outage probability and its performance is verified for the proposed frame structure by simulation.

Cognitive control channels: from concept to identification of implementation options

Recent effort related to cognitive radio systems has lead to an in-depth analysis of context information management and exploitation based on a cognitive control channel for enhancement of management needed for, say, suitable link selection in a heterogeneous radio framework, dynamic radio resource management, and distributed sensing. Concerning the actual implementation of such a CCC, the focus was recently moved toward an in-band solution, where the information is transported building on existing radio access technologies. In this scope, this article illustrates relevant technical scenarios in which CCCs can be exploited and outlines a set of derived system requirements. The article provides an overview of various possible RAT independent and dependent implementation options, such as Diameter, distributed agents, 3GPP radio resource control (RRC) mechanisms, IEEE 802.21, IEEE 802.11, WiMedia UWB, and Bluetooth. The advantages and drawbacks of the various options are discussed.

The Economic Effects of Sharing Femtocells

Femtocells are a promising technology for handling exponentially increasing wireless data traffic. Although extensive attention has been paid to resource control mechanisms, for example, power control and load balancing in femtocell networks, their success largely depends on whether operators and users accept this technology or not. In this paper, we study the economic aspects of femtocell services for the case of monopoly market, and aim to answer questions on operator's revenue, user surplus, and social welfare by considering practical service types and pricing strategies. We consider three user subscription services, that is, users can access only macro BSs (mobile-only), or deploy femto BSs in their house and open / exclusively use their femto BSs (open- / closed-femto). For pricing strategies, flat pricing and partial volume pricing are exploited. The main messages include the following: 1) open-femto service is beneficial to both users and providers; 2) in flat pricing, the impact on operator revenue of allowing or blocking the access of mobile-only users to open femto BSs is minor; and 3) compared with partial volume pricing, flat pricing is advantageous to the operator when users are sensitive to price.

Multitasking without compromise

The Multitasking Virtual Machine (called from now on simply MVM) is a modification of the Java™ virtual machine. It enables safe, secure, and scalable multitasking. Safety is achieved by strict isolation of applications from one another. Resource control mechanisms augment security by preventing some denial-ofservice attacks. Improved scalability results from an aggressive application of the main design principle of MVM: share as much of the runtime as possible among applications and replicate everything else. The system can be described as a 'no compromise' approach -- all the known APIs and mechanisms of the Java programming language are available to applications. MVM is implemented as a series of carefully tuned modifications to the Java HotSpot™ virtual machine, including the dynamic compiler. This paper presents the design of MVM, focusing on several novel and general techniques: an in-runtime design of lightweight isolation, an extension of a copying, generational garbage collector to provide best-effort management of a portion of the heap space, and a transparent and automated mechanism for safe execution of user-level native code. MVM demonstrates that multitasking in a safe language can be accomplished with a high degree of protection, without constraining the language, and with competitive performance characteristics.

Analysis of Femto Base Station Network Deployment

In this paper, assurance of proper downlink outage probability, which is a design criterion based on feasible femto base station (BS) density, is analyzed. Considering femto BS deployment, a 3-D Poisson model of random spatial distribution and stochastic geometry are used. From the study, a closed form of feasible femto BS density will be identified. The analysis results not only can be used to predict the performance of various femto BS deployment scenarios but also can be used as a design criterion for resource control mechanism designs.

Dynamic resource control mechanism for multimedia overlay transport in NGN

This paper investigates a dynamic resource control mechanism to efficiently deliver NGN multimedia services while supporting quality of service (QoS) requirements and bandwidth flexibility in next generation networks (NGN). The proposed resource control aims to realize the dynamic and automatic setup and release of multimedia resource sessions across heterogeneous transport networks including IP, SONET/SDH, and WDM technologies. It can also provide not only low cost operations but also flexibility for multimedia resource control.