The widespread adoption of cloud computing has underscored the critical importance of efficient resource allocation and management, particularly in task scheduling, which involves assigning tasks to computing resource...The widespread adoption of cloud computing has underscored the critical importance of efficient resource allocation and management, particularly in task scheduling, which involves assigning tasks to computing resources for optimized resource utilization. Several meta-heuristic algorithms have shown effectiveness in task scheduling, among which the relatively recent Willow Catkin Optimization (WCO) algorithm has demonstrated potential, albeit with apparent needs for enhanced global search capability and convergence speed. To address these limitations of WCO in cloud computing task scheduling, this paper introduces an improved version termed the Advanced Willow Catkin Optimization (AWCO) algorithm. AWCO enhances the algorithm’s performance by augmenting its global search capability through a quasi-opposition-based learning strategy and accelerating its convergence speed via sinusoidal mapping. A comprehensive evaluation utilizing the CEC2014 benchmark suite, comprising 30 test functions, demonstrates that AWCO achieves superior optimization outcomes, surpassing conventional WCO and a range of established meta-heuristics. The proposed algorithm also considers trade-offs among the cost, makespan, and load balancing objectives. Experimental results of AWCO are compared with those obtained using the other meta-heuristics, illustrating that the proposed algorithm provides superior performance in task scheduling. The method offers a robust foundation for enhancing the utilization of cloud computing resources in the domain of task scheduling within a cloud computing environment.展开更多
There has been an increasing number of Chinese students studying in the international program of cooperative schools. They gain more chances of learning diverse cultures at the program, meanwhile they must meet the mi...There has been an increasing number of Chinese students studying in the international program of cooperative schools. They gain more chances of learning diverse cultures at the program, meanwhile they must meet the minimum requirement, taking part in TOEFL IBT and reaching a certain level. Therefore, how to prepare for the TOEFL IBT is the most important task for the students pursuing their further study. This article mainly focuses on the features ofTOEFL IBT and the strategies of learning it.展开更多
需求牵引和技术是推动武器装备发展的两大动力，通过科学的需求分析方法才能得出正确的需求结论。提出了基于战略到任务方法／质量功能部署（strategy to task technique／quality function deployment，STT／QFD）的武器装备需求分析...需求牵引和技术是推动武器装备发展的两大动力，通过科学的需求分析方法才能得出正确的需求结论。提出了基于战略到任务方法／质量功能部署（strategy to task technique／quality function deployment，STT／QFD）的武器装备需求分析方法，该方法从较高层次军事需求进行分析，应用质量功能部署，通过向下层层分解、映射的过程，来确定武器装备的需求。详细阐述了该方法中质量屋各部分的含义、方法的步骤以及方法的特点。介绍了该方法在装甲分队武器装备需求分析中的应用思路。展开更多
装备综合质量特性参数是度量装备系统方案优劣的重要指标.在从战略到任务STT(Strategy to Task Technique)法、模糊质量功能展开QFD(Quality Function Deployment)法和武器效能评估ADC模型的基础上,提出一种装备综合质量特性参数分解方...装备综合质量特性参数是度量装备系统方案优劣的重要指标.在从战略到任务STT(Strategy to Task Technique)法、模糊质量功能展开QFD(Quality Function Deployment)法和武器效能评估ADC模型的基础上,提出一种装备综合质量特性参数分解方法.运用上述方法对装备进行结构和任务分解,把装备总体系统效能分解到相关任务及其功能系统的关键质量特性中,进一步建立考虑了任务和相关功能系统质量特性影响的系统效能模型.分解结果为装备不同系统方案的评价及确定影响装备系统效能的关键质量特性参数提供了依据.展开更多
In the imaging observation system, imaging task scheduling is an important topic. Most scholars study the imaging task scheduling from the perspective of static priority, and only a few from the perspective of dynamic...In the imaging observation system, imaging task scheduling is an important topic. Most scholars study the imaging task scheduling from the perspective of static priority, and only a few from the perspective of dynamic priority. However,the priority of the imaging task is dynamic in actual engineering. To supplement the research on imaging observation, this paper proposes the task priority model, dynamic scheduling strategy and Heuristic algorithm. At first, this paper analyzes the relevant theoretical basis of imaging observation, decomposes the task priority into four parts, including target priority, imaging task priority, track, telemetry & control(TT&C)requirement priority and data transmission requirement priority, summarizes the attribute factors that affect the above four types of priority in detail, and designs the corresponding priority model. Then, this paper takes the emergency tasks scheduling problem as the background, proposes the dynamic scheduling strategy and heuristic algorithm. Finally, the task priority model,dynamic scheduling strategy and heuristic algorithm are verified by experiments.展开更多
Hybrid sensor networks (HSNs) comprise of mobile and static sensor nodes setup for purpose of collaboratively performing tasks like sensing a phenomenon or monitoring a region. In this paper, we present target interce...Hybrid sensor networks (HSNs) comprise of mobile and static sensor nodes setup for purpose of collaboratively performing tasks like sensing a phenomenon or monitoring a region. In this paper, we present target interception as a novel application using mobile sensor nodes as executor. Static sensor nodes sense, compute and communicate with each other for navigation. Mobile nodes are guided to intercept target by the static nodes nearby. Our approach does not require any prior maps of the environment thus, cutting down the cost of the overall energy consumption. As to multi-targets multi-mobile nodes case, we present a PMB algorithm for task assignment. Simulation results have verified the feasibility and effectiveness of our approach proposed.展开更多
How budgetary management as a tool for planning and controlling of business operations is aligned with strategy and internal control system may not be problematic to American firms but is the most challengeable to lar...How budgetary management as a tool for planning and controlling of business operations is aligned with strategy and internal control system may not be problematic to American firms but is the most challengeable to large corporations in China. The case of Sinochem Corporation demonstrates the ways that budgetary management is linked with 3-year strategic planning at corporate level via yearly operating plans at business levels, and that budgets are integrated with internal control system into a device of task control to monitor whether business operations are on the track toward strategy. It is learned from the case that Chinese corporations have initiated different practices than American firms in solving the same issues.展开更多
文摘The widespread adoption of cloud computing has underscored the critical importance of efficient resource allocation and management, particularly in task scheduling, which involves assigning tasks to computing resources for optimized resource utilization. Several meta-heuristic algorithms have shown effectiveness in task scheduling, among which the relatively recent Willow Catkin Optimization (WCO) algorithm has demonstrated potential, albeit with apparent needs for enhanced global search capability and convergence speed. To address these limitations of WCO in cloud computing task scheduling, this paper introduces an improved version termed the Advanced Willow Catkin Optimization (AWCO) algorithm. AWCO enhances the algorithm’s performance by augmenting its global search capability through a quasi-opposition-based learning strategy and accelerating its convergence speed via sinusoidal mapping. A comprehensive evaluation utilizing the CEC2014 benchmark suite, comprising 30 test functions, demonstrates that AWCO achieves superior optimization outcomes, surpassing conventional WCO and a range of established meta-heuristics. The proposed algorithm also considers trade-offs among the cost, makespan, and load balancing objectives. Experimental results of AWCO are compared with those obtained using the other meta-heuristics, illustrating that the proposed algorithm provides superior performance in task scheduling. The method offers a robust foundation for enhancing the utilization of cloud computing resources in the domain of task scheduling within a cloud computing environment.
文摘There has been an increasing number of Chinese students studying in the international program of cooperative schools. They gain more chances of learning diverse cultures at the program, meanwhile they must meet the minimum requirement, taking part in TOEFL IBT and reaching a certain level. Therefore, how to prepare for the TOEFL IBT is the most important task for the students pursuing their further study. This article mainly focuses on the features ofTOEFL IBT and the strategies of learning it.
文摘需求牵引和技术是推动武器装备发展的两大动力，通过科学的需求分析方法才能得出正确的需求结论。提出了基于战略到任务方法／质量功能部署（strategy to task technique／quality function deployment，STT／QFD）的武器装备需求分析方法，该方法从较高层次军事需求进行分析，应用质量功能部署，通过向下层层分解、映射的过程，来确定武器装备的需求。详细阐述了该方法中质量屋各部分的含义、方法的步骤以及方法的特点。介绍了该方法在装甲分队武器装备需求分析中的应用思路。
文摘装备综合质量特性参数是度量装备系统方案优劣的重要指标.在从战略到任务STT(Strategy to Task Technique)法、模糊质量功能展开QFD(Quality Function Deployment)法和武器效能评估ADC模型的基础上,提出一种装备综合质量特性参数分解方法.运用上述方法对装备进行结构和任务分解,把装备总体系统效能分解到相关任务及其功能系统的关键质量特性中,进一步建立考虑了任务和相关功能系统质量特性影响的系统效能模型.分解结果为装备不同系统方案的评价及确定影响装备系统效能的关键质量特性参数提供了依据.
基金supported by the National Natural Science Foundation of China(61773120,61473301,71501180,71501179,61603400)。
文摘In the imaging observation system, imaging task scheduling is an important topic. Most scholars study the imaging task scheduling from the perspective of static priority, and only a few from the perspective of dynamic priority. However,the priority of the imaging task is dynamic in actual engineering. To supplement the research on imaging observation, this paper proposes the task priority model, dynamic scheduling strategy and Heuristic algorithm. At first, this paper analyzes the relevant theoretical basis of imaging observation, decomposes the task priority into four parts, including target priority, imaging task priority, track, telemetry & control(TT&C)requirement priority and data transmission requirement priority, summarizes the attribute factors that affect the above four types of priority in detail, and designs the corresponding priority model. Then, this paper takes the emergency tasks scheduling problem as the background, proposes the dynamic scheduling strategy and heuristic algorithm. Finally, the task priority model,dynamic scheduling strategy and heuristic algorithm are verified by experiments.
文摘Hybrid sensor networks (HSNs) comprise of mobile and static sensor nodes setup for purpose of collaboratively performing tasks like sensing a phenomenon or monitoring a region. In this paper, we present target interception as a novel application using mobile sensor nodes as executor. Static sensor nodes sense, compute and communicate with each other for navigation. Mobile nodes are guided to intercept target by the static nodes nearby. Our approach does not require any prior maps of the environment thus, cutting down the cost of the overall energy consumption. As to multi-targets multi-mobile nodes case, we present a PMB algorithm for task assignment. Simulation results have verified the feasibility and effectiveness of our approach proposed.
文摘How budgetary management as a tool for planning and controlling of business operations is aligned with strategy and internal control system may not be problematic to American firms but is the most challengeable to large corporations in China. The case of Sinochem Corporation demonstrates the ways that budgetary management is linked with 3-year strategic planning at corporate level via yearly operating plans at business levels, and that budgets are integrated with internal control system into a device of task control to monitor whether business operations are on the track toward strategy. It is learned from the case that Chinese corporations have initiated different practices than American firms in solving the same issues.
