Description: 人事管理系统是一个典型的信息管理系统(MIS)，随着社会经济与科技的发展，人们更多的利用科技来管理日常生活和工作事务。为了适应这一发展趋势，数据库管理信息系统的发展也异常迅速。人们也开始越来越多地利用计算机解决实际问题。员工信息管理是企业信息管理的重要部分，面对大量的人事信息，采用人力处理即浪费时间、又浪费人力和物力，并且数据的准确性低。因此，开发一个界面友好，易于操作的人力资源管理软件进行自动化处理变得十分重要，这正是本系统开发的目的和意义。- The personnel management system is a typical information management system (MIS), along with social economy and technical development, the people more uses science and technology manages the daily life and work business. In order to adapt this development tendency, the data bank administration information system development exceptionally is also rapid. The people also start more and more to use the computer solution actual problem. The staff information management is the enterprise information management important part, facing the massive human affairs information, uses manpower processing namely to waste the time, to waste the manpower and the physical resource, and the data accuracy is low. Therefore, develops a contact surface in a friendly way, is easy human resources management software which operates to carry on automated processing to change extremely importantly, this is precisely this system development goal and the significance. This article introduced the personnel manageme Platform: |
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Author:susan |
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Description: 事管理系统是一个典型的信息管理系统(MIS)，随着社会经济与科技的发展，人们更多的利用科技来管理日常生活和工作事务。为了适应这一发展趋势，数据库管理信息系统的发展也异常迅速。人们也开始越来越多地利用计算机解决实际问题。员工信息管理是企业信息管理的重要部分，面对大量的人事信息，采用人力处理即浪费时间、又浪费人力和物力，并且数据的准确性低。因此，开发一个界面友好，易于操作的人力资源管理软件进行自动化处理变得十分重要，这正是本系统开发的目的和意义。
本文介绍了人事管理系统的开发过程。本系统利用VC++6.0和Microsoft SQL Server 2000设计和实现人事管理信息系统。论文详细介绍了从系统的需求分析、系统分析、概要设计、详细设计的整个开发过程。
- The personnel management system is a typical information management system (MIS), along with social economy and technical development, the people more uses science and technology manages the daily life and work business. In order to adapt this development tendency, the data bank administration information system development exceptionally is also rapid. The people also start more and more to use the computer solution actual problem. The staff information management is the enterprise information management important part, facing the massive human affairs information, uses manpower processing namely to waste the time, to waste the manpower and the physical resource, and the data accuracy is low. Therefore, develops a contact surface in a friendly way, is easy human resources management software which operates to carry on automated processing to change extremely importantly, this is precisely this system development goal and the significance. This article introduced the personnel manageme Platform: |
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Author:susan |
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Description: Abstract. In this paper, we present a scheduler for distributing workflows in Utility Management System (UMS).
The system executes a large number of workflows, which have very high resource requirements. The workflows have
different computational requirements and thus the optimization of resource utilization must be performed in a way that
is different from the standard approach of scheduling workflows. We developed a strategy for allocating workflows,
which is based on a genetic algorithm. The proposed architecture executes a scheduling algorithm by using a feedback
from the execution monitor. We also report on an experimental study, which shows that a significant improvement of
overall execution time can be achieved by using the genetic algorithm. The algorithm is used for designing effective
Grid schedulers that optimize makespan. The study further shows that the overall system (UMS) performance is
significantly improved this finding indicates that there can be reduction in hardware investment.-Abstract. In this paper, we present a scheduler for distributing workflows in Utility Management System (UMS).
The system executes a large number of workflows, which have very high resource requirements. The workflows have
different computational requirements and thus the optimization of resource utilization must be performed in a way that
is different from the standard approach of scheduling workflows. We developed a strategy for allocating workflows,
which is based on a genetic algorithm. The proposed architecture executes a scheduling algorithm by using a feedback
from the execution monitor. We also report on an experimental study, which shows that a significant improvement of
overall execution time can be achieved by using the genetic algorithm. The algorithm is used for designing effective
Grid schedulers that optimize makespan. The study further shows that the overall system (UMS) performance is
significantly improved this finding indicates that there can be reduction in hardware investment. Platform: |
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Author:nemanja |
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