A Systematic Literature Review on Task Allocation and Performance Management Techniques in Cloud Data Center

As cloud computing usage grows,cloud data centers play an increasingly important role.To maximize resource utilization,ensure service quality,and enhance system performance,it is crucial to allocate tasks and manage performance effectively.The purpose of this study is to provide an extensive analysis of task allocation and performance management techniques employed in cloud data centers.The aim is to systematically categorize and organize previous research by identifying the cloud computing methodologies,categories,and gaps.A literature review was conducted,which included the analysis of 463 task allocations and 480 performance management papers.The review revealed three task allocation research topics and seven performance management methods.Task allocation research areas are resource allocation,load-Balancing,and scheduling.Performance management includes monitoring and control,power and energy management,resource utilization optimization,quality of service management,fault management,virtual machine management,and network management.The study proposes new techniques to enhance cloud computing work allocation and performance management.Short-comings in each approach can guide future research.The research’s findings on cloud data center task allocation and performance management can assist academics,practitioners,and cloud service providers in optimizing their systems for dependability,cost-effectiveness,and scalability.Innovative methodologies can steer future research to fill gaps in the literature.

Digital management technology and its application to investment casting enterprises

With the advent of Industry 4.0, more and more investment casting enterprises are implementing production manufacturing systems, especially in the last two years. This paper summarizes three new common requirements of the digital management aspect in precision casting enterprises, and puts forward three corresponding techniques. They are: the production process tracking card technology based on the main-sub card mode; the workshop site production process processing technology based on the barcode; and the equipment data integration technology. Then, this paper discusses in detail the principle, application and effect of these technologies; to provide the reference for enterprises to move towards digital casting and intelligent casting.

Overall plan and design of the task management system of ternary optical computer

t In this paper an overall scheme of the task management system of ternary optical computer （TOC） is proposed, and the software architecture chart is given. The function and accomplishment of each module in the system are described in general. In addition, according to the aforementioned scheme a prototype of TOC task management system is implemented, and the feasibility, rationality and completeness of the scheme are verified via running and testing the prototype.

任务转换的脑功能偏侧化效应:基于tDCS和TMS技术的研究

任务转换是执行功能的重要成分之一,指从一个认知任务转换到另一个认知任务的过程。在对任务转换的脑机制研究中,脑功能的偏侧化效应是一项重要内容,近年来,研究者通过经颅直流电刺激和经颅磁刺激等技术对DLPFC脑区、IFJ脑区等脑区的偏侧化效应进行了研究。虽然研究尚处于起步阶段,且存在一定争议,但得到较一致的结论是:第一,这些脑区的左侧优势较突出,在任务转换过程中发挥自上而下的适应性调节等核心功能;第二,在左侧功能优势的基础上,这些脑区的右侧也发挥抑制控制等功能,两侧形成高效的分工合作,形成生理性平衡。目前,部分研究结果已经应用于针对抑郁症患者和脑卒中患者等特殊人群的认知功能障碍治疗中。未来应进一步提高对tDCS和TMS技术的运用水平,逐渐从传统技术向高精度技术跨越,并引入其他神经调控方法,结合脑成像技术开展实证研究。在此基础上,注重对差异性结果的分析和解释,实现对任务转换脑功能偏侧化理论的拓展与整合。

The Task-Based Approach： Noticing and Attention Management Tasks to Enhance Written Production

The paper reports the results of a field study which was carried out at the Language Centre of the University of Naples and originated in the observation that learning the Italian language was not perceived by ab initio students as connected to their personal and academic experiences. The claim of this research is that a procedural syllabus based on texts and tasks facilitates both the acquisition of Italian as a foreign language and the integration of language and content. Each text proposed to the learners was accompanied and enhanced by pre-, while-, and production-tasks. A particular emphasis was assigned to noticing and attention management tasks in the pre and while phase Production tasks in a later phase favoured interlanguage development by combining representational structures with controlled attention. The method of the study was a combination of qualitative and quantitative approach at any stage. Measures for written production during the course and to assess final exams were： Holistic Rating （fluency and creativity）, Accuracy Ratios （intelligibility index and error index）, and Complexity Ratios （dependent and coordinate clauses per t-units ratio and re-elaboration of a model or text type）. At the final exams, Texts and tasks learners outperformed non-texts and tasks learners. In conclusion, an input related to personal and/or academic interests, to be processed through tasks, allowed learners a rapid interlanguage change and development

Net-Based Task Management System

In net-based collaborative design environment, design resources become more and more varied and complex. Besides common information management systems, design resources can be organized in connection with design activities. A set of activities and resources linked by logic relations can form a task. A task has at least one objective and can be broken down into smaller ones. So a design project can be separated into many subtasks forming a hierarchical structure. Task Management System (TMS) is designed to break down these tasks and assign certain resources to its related task nodes. As a result of decomposition, all design resources and activities could be managed via this system. Based on this idea, we realized a TMS which manages collaborative resources in web environment.

Research and Implementation of Task Management Model in Product Development Process Management

The implementation of product development process management (PDPM) is an effective means of developing products with higher quality in shorter lead time. It is argued in this paper that product, data, person and activity are basic factors in PDPM With detailed analysis of these basic factors and their relations in product developmed process, all product development activities are considered as tasks and the management of product development process is regarded as the management of task execution A task decomposition based product development model is proposed with methods of constructing task relation matrix from layer model and constraint model resulted from task decomposition. An algorithm for constructing directed task graph is given and is used in the management of tasks. Finally, the usage and limitation of the proposed PDPM model is given with further work proposed.

基于LSTM的数据中台多目标监测优化研究

为实现数据中台资源的实时动态调整,提出一种基于机器学习的数据中台实时分析与监测模型。采用长短期记忆网络(LSTM)对任务调度和资源管理工作量进行预测,并构建了任务调度模型和资源管理模型,以任务调度总能耗最低和资源管理成本最低为优化目标,设计基于预测反馈与异步多智体深度强化学习算法的多目标联合优化算法,实现了数据中台实时分析与动态资源调整。仿真结果表明,所提的多目标联合优化算法可实现数据中台任务调度和资源管理多目标优化,相较于常用资源调度优化算法CTS算法、GTB算法、PTS算法,所提算法可明显降低数据中台的能源消耗和能源成本,具有一定的有效性和优越性。

城轨TMS中仿真数据管理模块的设计与实现

培训管理系统TMS是轨道交通综合监控系统的重要组成部分,TMS教师管理工具实现了教员对各学员培训过程中的管理功能。仿真数据管理模块是TMS教学管理的一个功能模块。该文介绍了该模块具有的仿真数据保存和初始化2个工作流程。该模块用于保存中断或结束的课程状态、教员备课和培训课堂前的准备工作,可以满足教师对培训课程便捷性的管理需求,提高课堂培训效率。通过具体案例介绍了仿真数据管理模块的实际应用。

基于C/S的工程设计任务管理系统TMS-Pro

提出一种基于客户机 /服务器的工程设计任务管理系统 TMS- Pro( Task Man-agement System of Project)的工作模式 ,讨论利用 Powersoft公司的产品 IDT( In-ternet Developer Toolkit)建立一个基于 C/S体系结构的工程设计任务管理系统 .

基于STM32F407的全数字化等离子弧焊电源控制技术

航天科技的快速发展对航天铝合金材料的焊接质量提出了更高的要求,而高性能的全数字化变极性等离子弧焊电源是提高铝合金材料焊接质量的关键。为了提高该类型弧焊电源的动态调节性能,在基于Cortex-M4内核的单控制器方案下利用焊接电流及原边电流双闭环反馈回路,在小信号范围内以增量式数字PI调节,大信号范围内实施分段快速调节的方法,研制出了焊接电流稳定且电流响应性能优越的逆变频率为20 kHz全数字化VPPA焊接电源。详细分析了在电源控制技术中焊接过程控制、数字化恒流控制、人机界面处理、自动化控制器通讯等任务的分配及管理,并在280 A大电流条件下完成带负载的焊接测试,其结果验证了该电源控制技术的实用性和可靠性。

美国NPPS项目中SAFE^(TM)游戏场安全管理框架的分析与启示

美国游戏场安全国家项目(National Program for playground Safety,简称NPPS)旨在提高人们对游戏场安全性的认识,为儿童创设安全的游戏环境。其构建的SAFE TM游戏场安全管理框架包含监督、适当的环境、坠落铺面、设备维护4个彼此交互的基本元素。为保障SAFE TM游戏场安全管理框架的有效实施,NPPS还构建了与之相匹配的支持系统,包括符合准则和标准、评估游戏场、检查程序和课程培训四个方面。当前,我国也日益重视儿童户外游戏场地的安全,系统分析SAFE TM游戏场安全管理框架及其特点,对于我国幼儿园户外游戏场地设计与管理具有重要启示。

实物资产附加值(RAVE^(TM)):经济增加值(EVA)的价值整合管理

EVA在美国已有20余年的历史,国内也有许多公司引入了EVA进行价值管理和薪酬管理。但其主要侧重于资本,不能很好地解释、管理新经济条件下的价值创造。文中讨论了一种新的价值管理的思想:RAVETM,这是一种以价值为导向的、定量化的EVA价值管理的拓展,整合企业的人力资本、顾客资本、供应商资本和资金资本。

基于J2EE的TMN信息系统的设计与分析

现代TMN信息系统需要实现对分布式对象的管理。通过研究TMN的信息系统规范,分析J2EE的设计模式,提出了一个基于J2EE的TMN信息管理系统。该系统不仅能实现完全的面向对象和分布式,而且具有高度的扩充性和移植性。

A New Task Scheduling Scheme Based on Genetic Algorithm for Edge Computing

With the continuous evolution of smart grid and global energy interconnection technology,amount of intelligent terminals have been connected to power grid,which can be used for providing resource services as edge nodes.Traditional cloud computing can be used to provide storage services and task computing services in the power grid,but it faces challenges such as resource bottlenecks,time delays,and limited network bandwidth resources.Edge computing is an effective supplement for cloud computing,because it can provide users with local computing services with lower latency.However,because the resources in a single edge node are limited,resource-intensive tasks need to be divided into many subtasks and then assigned to different edge nodes by resource cooperation.Making task scheduling more efficient is an important issue.In this paper,a two-layer resource management scheme is proposed based on the concept of edge computing.In addition,a new task scheduling algorithm named GA-EC(Genetic Algorithm for Edge Computing)is put forth,based on a genetic algorithm,that can dynamically schedule tasks according to different scheduling goals.The simulation shows that the proposed algorithm has a beneficial effect on energy consumption and load balancing,and reduces time delay.

Investigating and Modelling of Task Offloading Latency in Edge-Cloud Environment

Recently,the number of Internet of Things(IoT)devices connected to the Internet has increased dramatically as well as the data produced by these devices.This would require offloading IoT tasks to release heavy computation and storage to the resource-rich nodes such as Edge Computing and Cloud Computing.However,different service architecture and offloading strategies have a different impact on the service time performance of IoT applications.Therefore,this paper presents an Edge-Cloud system architecture that supports scheduling offloading tasks of IoT applications in order to minimize the enormous amount of transmitting data in the network.Also,it introduces the offloading latency models to investigate the delay of different offloading scenarios/schemes and explores the effect of computational and communication demand on each one.A series of experiments conducted on an EdgeCloudSim show that different offloading decisions within the Edge-Cloud system can lead to various service times due to the computational resources and communications types.Finally,this paper presents a comprehensive review of the current state-of-the-art research on task offloading issues in the Edge-Cloud environment.

Context and Machine Learning Based Trust Management Framework for Internet of Vehicles

Trust is one of the core components of any ad hoc network security system.Trust management(TM)has always been a challenging issue in a vehicular network.One such developing network is the Internet of vehicles(IoV),which is expected to be an essential part of smart cities.IoV originated from the merger of Vehicular ad hoc networks(VANET)and the Internet of things(IoT).Security is one of the main barriers in the on-road IoV implementation.Existing security standards are insufficient to meet the extremely dynamic and rapidly changing IoV requirements.Trust plays a vital role in ensuring security,especially during vehicle to vehicle communication.Vehicular networks,having a unique nature among other wireless ad hoc networks,require dedicated efforts to develop trust protocols.Current TM schemes are inflexible and static.Predefined scenarios and limited parameters are the basis for existing TM models that are not suitable for vehicle networks.The vehicular network requires agile and adaptive solutions to ensure security,especially when it comes to critical messages.The vehicle network’s wireless nature increases its attack surface and exposes the network to numerous security threats.Moreover,internet involvement makes it more vulnerable to cyberattacks.The proposed TM framework is based on context-based cognition and machine learning to be best suited to IoV dynamics.Machine learning is the best solution to utilize the big data produced by vehicle sensors.To handle the uncertainty Bayesian machine learning statistical model is used.The proposed framework can adapt scenarios dynamically and infer using the maximum possible parameter available.The results indicated better performance than existing TM methods.Furthermore,for future work,a high-level machine learning model is proposed.

应用ACE解决TMN故障管理中并发操作的方案

利用ACE在线程创建和管理方面的优势,探讨应用多线程模式解决电信管理网告警预处理中接收当前告警和回查丢失告警的并发操作问题,并分析3种不同解决方案的优劣。还介绍了运用ACE反应堆组件创建负责告警分派的事件处理器。

山东电力SG-TMS双机热备改造方案研究

随着国家电网公司智能电网建设的推进,对电力通信管理系统(SG-TMS)的性能和稳定性提出了更高的要求。文章在山东电力省级SG-TMS原单机网络架构的基础上,提出了一种应用、数据库服务器双机配置的改造方案,并根据实际部署情况对改造方案进行了优化,最后结合测试结果对双机热备改造经验进行了分析总结。测试结果证明,应用该方案可有效提升SG-TMS系统的负载均衡性能和运行可靠性。

A Pilot Clinical Trial on L-Carnitine Supplementation in Combination with Motivation Training: Effects on Weight Management in Healthy Volunteers

A 4-week low dosage (500 mg/day) L-carnitine supplementation in combination with motivation training was carried out in 24 overweight (BMI 25.8 - 26.6 kg/m2) Japanese males in the course of a double-blind randomized placebo-controlled study. L-carnitine motivated group showed significant body weight loss and a decrement of serum triglyceride level vs. the non-motivated placebo group. Serum adiponectin levels increased in both L-carnitine supplemented groups. The beneficial effects of L-carnitine were amplified by motivation training. For clinical evaluation of supplements, whose efficacy is potentially affected by inter-individual life style variability, supportive motivation training might be advisable for future clinical trials.