Task decomposition is a kind of powerful technique increasingly being used within industry as a pathway for achieving product's developing success. In this paper, topology's concept in modern mathematics is us...Task decomposition is a kind of powerful technique increasingly being used within industry as a pathway for achieving product's developing success. In this paper, topology's concept in modern mathematics is used for task decomposition technique's deduction in product developing process. It puts fonvard the views of resolvability, measurability and connectivity of tasks and their practi-cal principles. Combined with an example of developing the typical mechanical product, it ex-plains the implementing method of task decomposition in Concurrent Engineering (CE).展开更多
The improvement of students’abilities is of great significance to discover the relevant scientific problems in daily life,to analyze and solve practical problems,to trigger scientific inspiration,and to encourage inn...The improvement of students’abilities is of great significance to discover the relevant scientific problems in daily life,to analyze and solve practical problems,to trigger scientific inspiration,and to encourage innovation and entrepreneurship.Taken the course entitled Built Environment(BE)as an example,this study introduces five lecture cases combining with engineering practices,and examines the evaluation of teaching and learning effect on student outcomes.The cases consider various problems to be solved urgently in an actual project,and evaluate the student outcomes by statistically analyzing the questionnaires.Most of the students actively participate in five cases and cheerfully share their achievements.More than 85%of students are satisfied with the engineering practice and the learning proposal,and convey a little or even significantly change in their understanding of the employment prospects.展开更多
Most distributed stream processing engines(DSPEs)do not support online task management and cannot adapt to time-varying data flows.Recently,some studies have proposed online task deployment algorithms to solve this pr...Most distributed stream processing engines(DSPEs)do not support online task management and cannot adapt to time-varying data flows.Recently,some studies have proposed online task deployment algorithms to solve this problem.However,these approaches do not guarantee the Quality of Service(QoS)when the task deployment changes at runtime,because the task migrations caused by the change of task deployments will impose an exorbitant cost.We study one of the most popular DSPEs,Apache Storm,and find out that when a task needs to be migrated,Storm has to stop the resource(implemented as a process of Worker in Storm)where the task is deployed.This will lead to the stop and restart of all tasks in the resource,resulting in the poor performance of task migrations.Aiming to solve this problem,in this pa-per,we propose N-Storm(Nonstop Storm),which is a task-resource decoupling DSPE.N-Storm allows tasks allocated to resources to be changed at runtime,which is implemented by a thread-level scheme for task migrations.Particularly,we add a local shared key/value store on each node to make resources aware of the changes in the allocation plan.Thus,each resource can manage its tasks at runtime.Based on N-Storm,we further propose Online Task Deployment(OTD).Differ-ing from traditional task deployment algorithms that deploy all tasks at once without considering the cost of task migra-tions caused by a task re-deployment,OTD can gradually adjust the current task deployment to an optimized one based on the communication cost and the runtime states of resources.We demonstrate that OTD can adapt to different kinds of applications including computation-and communication-intensive applications.The experimental results on a real DSPE cluster show that N-Storm can avoid the system stop and save up to 87%of the performance degradation time,compared with Apache Storm and other state-of-the-art approaches.In addition,OTD can increase the average CPU usage by 51%for computation-intensive applications and reduce network communication costs by 88%for communication-intensive ap-plications.展开更多
In the organizational context of marine engineering,employee individual often prefers to concentrate herself to the day-to-day routine job,but to shirk the responsibilities of the Information Security Policies(ISPs)co...In the organizational context of marine engineering,employee individual often prefers to concentrate herself to the day-to-day routine job,but to shirk the responsibilities of the Information Security Policies(ISPs)compliance,after she has been delegated by the employer to perform the two different tasks in the same time period.This would lead to negative influences on the security of marine information systems and the employee’s routine job performance.In view of the task structures of employee’s routine job and marine ISPs compliance,the variables of emphasis on scheduling are incorporated into a multi-task principal-agent model to explore the optimal incentive scheme to motivate and control the employees to select appropriate effort levels for conducting the two highly structured tasks.The role of emphasis on scheduling on the incentive intensities for the two tasks have been clarified through modeling and simulation,and the corresponding incentive tactics are suggested.The new two-task incentive scheme is expected to provide useful insight for understanding and controlling marine engineering employee’s routine job and ISPs compliance behavior.展开更多
基金the State High-Tech Developmets Plan of Cina(No.863-511-9930-007)
文摘Task decomposition is a kind of powerful technique increasingly being used within industry as a pathway for achieving product's developing success. In this paper, topology's concept in modern mathematics is used for task decomposition technique's deduction in product developing process. It puts fonvard the views of resolvability, measurability and connectivity of tasks and their practi-cal principles. Combined with an example of developing the typical mechanical product, it ex-plains the implementing method of task decomposition in Concurrent Engineering (CE).
基金2020 Donghua University’s educational reform project of integration of specialty and innovation,China(No.ZCRH2020002)Excellent reform pilot course of Donghua University Built Environment,China.
文摘The improvement of students’abilities is of great significance to discover the relevant scientific problems in daily life,to analyze and solve practical problems,to trigger scientific inspiration,and to encourage innovation and entrepreneurship.Taken the course entitled Built Environment(BE)as an example,this study introduces five lecture cases combining with engineering practices,and examines the evaluation of teaching and learning effect on student outcomes.The cases consider various problems to be solved urgently in an actual project,and evaluate the student outcomes by statistically analyzing the questionnaires.Most of the students actively participate in five cases and cheerfully share their achievements.More than 85%of students are satisfied with the engineering practice and the learning proposal,and convey a little or even significantly change in their understanding of the employment prospects.
基金The work was supported by the National Natural Science Foundation of China under Grant Nos.62072419 and 61672479.
文摘Most distributed stream processing engines(DSPEs)do not support online task management and cannot adapt to time-varying data flows.Recently,some studies have proposed online task deployment algorithms to solve this problem.However,these approaches do not guarantee the Quality of Service(QoS)when the task deployment changes at runtime,because the task migrations caused by the change of task deployments will impose an exorbitant cost.We study one of the most popular DSPEs,Apache Storm,and find out that when a task needs to be migrated,Storm has to stop the resource(implemented as a process of Worker in Storm)where the task is deployed.This will lead to the stop and restart of all tasks in the resource,resulting in the poor performance of task migrations.Aiming to solve this problem,in this pa-per,we propose N-Storm(Nonstop Storm),which is a task-resource decoupling DSPE.N-Storm allows tasks allocated to resources to be changed at runtime,which is implemented by a thread-level scheme for task migrations.Particularly,we add a local shared key/value store on each node to make resources aware of the changes in the allocation plan.Thus,each resource can manage its tasks at runtime.Based on N-Storm,we further propose Online Task Deployment(OTD).Differ-ing from traditional task deployment algorithms that deploy all tasks at once without considering the cost of task migra-tions caused by a task re-deployment,OTD can gradually adjust the current task deployment to an optimized one based on the communication cost and the runtime states of resources.We demonstrate that OTD can adapt to different kinds of applications including computation-and communication-intensive applications.The experimental results on a real DSPE cluster show that N-Storm can avoid the system stop and save up to 87%of the performance degradation time,compared with Apache Storm and other state-of-the-art approaches.In addition,OTD can increase the average CPU usage by 51%for computation-intensive applications and reduce network communication costs by 88%for communication-intensive ap-plications.
文摘In the organizational context of marine engineering,employee individual often prefers to concentrate herself to the day-to-day routine job,but to shirk the responsibilities of the Information Security Policies(ISPs)compliance,after she has been delegated by the employer to perform the two different tasks in the same time period.This would lead to negative influences on the security of marine information systems and the employee’s routine job performance.In view of the task structures of employee’s routine job and marine ISPs compliance,the variables of emphasis on scheduling are incorporated into a multi-task principal-agent model to explore the optimal incentive scheme to motivate and control the employees to select appropriate effort levels for conducting the two highly structured tasks.The role of emphasis on scheduling on the incentive intensities for the two tasks have been clarified through modeling and simulation,and the corresponding incentive tactics are suggested.The new two-task incentive scheme is expected to provide useful insight for understanding and controlling marine engineering employee’s routine job and ISPs compliance behavior.
