scholarly journals Design of distributed timing task scheduling system for smart grid

2021 ◽  
Vol 2108 (1) ◽  
pp. 012049
Author(s):  
WenSheng Tang ◽  
JinZhi Wang ◽  
Tao Fan
Keyword(s):  
Task Scheduling ◽  
Job Scheduling ◽  
Rapid Development ◽  
Task Control ◽  
Task Load ◽  
Enterprise Application ◽  
Business Operations ◽  
Application Systems ◽  
Timing Task ◽  
Control Service

Abstract With the rapid development of information technology and the growing scale of enterprise development, more and more enterprise application systems appear due to business scenarios, requiring the system to execute the specified business operations at the planned time, which is the demand of “timed tasks”. The rapid growth of business volume makes the number of timed tasks also increase massively, and the importance of timed task application scenarios requires more and more strict guarantee of reliable triggering of tasks. In this paper, to address these problems, we design and implement a distributed system providing timed task scheduling service based on Quartz, an open source lightweight job scheduling framework, and realize business modules such as timed task control service, trigger execution, lock grabbing trigger, unified configuration management, task load balancing and log management. The system has been tested and put into operation, and has completed the requirements well and achieved the design goals.

scholarly journals Independent Task Scheduling in Heterogeneous System

2019 ◽  
Vol 8 (4) ◽  
pp. 10093-10099
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Task Scheduling ◽  
Rapid Development ◽  
Network Connectivity ◽  
Variable Number ◽  
Cloud Infrastructure ◽  
Storage Devices ◽  
Quantum Genetic Algorithm ◽  
Test Scenarios

Recently, the rapid development in processing speeds, fast storage devices and better network connectivity, hasaccelerated the popularization of cloud computing. Cloud computing is an on-demand-servicewhich provides users with high end servers,storage and processing capabilities where the user need not be concerned with its infrastructure.Although, there are abundant resources in the cloud infrastructure, for the efficient working and execution of tasks, task scheduling plays a crucial role. Task scheduling results in better performance (throughput) of the system along with better resource utilization which ultimately results inreduced energy consumption. At any given time, a processor should never be in idle state, as it still consumes some amount of energy. In this paper, the use of Quantum Genetic Algorithm has led to the reduction in energy consumption. The objective is to find a scheduling sequencewhich can be implemented ina cloud computing environment. Along with minimizing energy consumption, the algorithm helps reduce makespan time of a processor as well.The results show a decrease in energy consumption by 10-15% under different test scenarios involving a variable number of tasks, processors, and the number of iterations (generations) for which the algorithm was run. The algorithm converges to the desired result within 10-15 iterations, as can be seen from the results published in this paper.

scholarly journals Return Mode Selection and Pricing Strategy for a Dual-Channel Retailer

2020 ◽  
Vol 2020 ◽  
pp. 1-20
Author(s):  
Xiaojian Hu ◽  
Shuai Feng ◽  
Jiqiong Liu ◽  
Aifeng Yang ◽  
Guanxiong Wang ◽  
...  
Keyword(s):  
Rapid Development ◽  
Mode Selection ◽  
Return Rate ◽  
Return Policies ◽  
Customer Preferences ◽  
Dual Channel ◽  
Business Operations ◽  
Customer Returns ◽  
The Difference ◽  
Channel Preferences

With the rapid development of e-commerce and the economy, an increasing number of retailers are adopting a dual-channel retail strategy (DCRS), which allows customers to return unsatisfactory products, provided that their complaints are reasonable, and receive a full refund. This paper studies the pricing strategies of an integrated dual-channel retailer (DCR) when it provides return policies to customers, including original channel return, fixed cross-channel return, and relaxed cross-channel return. The relationship between the DCR’s system performance and channel pricing is impacted by customer channel preferences, and the return rates of different channels are discussed. The results show that the greater the difference in customer preferences between channels is, the greater the profitability of the DCR will be. A fixed cross-channel return model should be selected when the return rate in the online channel is higher or the cross-channel return rate is lower; otherwise, the original channel return model should be selected. When the return rate of a certain channel is high, the retailer should increase the price in that channel and reduce the pricing of its competing channel to compensate for the loss caused by the returns and transfer sales between channels. A selective return policy can not only improve the flexibility of business operations and enhance competitive advantage but also provide convenient customer returns and enhance consumers’ sense of security.

Enterprise Application Integration (EAI)

2009 ◽  
pp. 837-843
Author(s):  
Christoph Bussler
Keyword(s):  
Enterprise Application Integration ◽  
Application Integration ◽  
Technology Infrastructure ◽  
Application System ◽  
Enterprise Application ◽  
Application Systems ◽  
Share Data ◽  
Integration Problem ◽  
Business Data ◽  
Definition Of

As long as businesses only have one enterprise application or back end application system there is no need to share data with any other system in the company. All data that has to be managed is contained within one back end application system and its database. However, as businesses grow, more back end application systems find their way into their information technology infrastructure managing different specialized business data, mainly introduced due to the growth. These back end application systems are not independent of each other; in general they contain similar or overlapping business data or are part of business processes. Keeping the data in the various application systems consistent with each other requires their integration so that data can be exchanged or synchronized. The technology that supports the integration of various application systems and their databases is called Enterprise Application Integration (EAI) technology. EAI technology is able to connect to back end application systems in order to retrieve and to insert data. Once connected, EAI technology supports the definition of how extracted data is propagated to back end application systems solving the general integration problem.

ERP Systems in Universities

2011 ◽  
pp. 43-60 ◽  
Author(s):  
Dave Oliver ◽  
Celia T. Romm
Keyword(s):  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Electronic Data Interchange ◽  
Process Reengineering ◽  
Erp Systems ◽  
Web Based ◽  
Business Operations ◽  
Application Systems ◽  
Frequent Use ◽  
Data Interchange

This chapter outlines the significance of enterprise resource planning (ERP) systems and analyses the rationale used for their adoption. This study is structured around a theory of the motivations for investment in information technology (IT) to support core business operations. The data used for the study are documents published electronically on the Internet by universities. A content analysis was applied to this data. The chapter employs frequent use of quotes from the sources selected to assist the reader to understand the context and to verify the analysis. The findings are that the main reasons for adopting ERP are the modernization of systems, greater usability and flexibility, integration of data and systems, business process reengineering, an increase in the degree of electronic data interchange including the provision of Web-based interfaces to application systems, reduced maintenance and risk avoidance.

Study on Aerospace Layering Time Synchronization Architecture and Time Synchronization Algorithm

2012 ◽  
Vol 546-547 ◽  
pp. 1614-1619
Author(s):  
Fei Jiang Huang ◽  
Xiao Chun Lu ◽  
Jun Yang ◽  
Qing Xiao Shan ◽  
Yong Bin Zhou
Keyword(s):  
Time Synchronization ◽  
Rapid Development ◽  
Frequency Standard ◽  
High Accuracy ◽  
Time Frequency ◽  
Aerospace Application ◽  
Visual Model ◽  
Application Systems ◽  
Synchronization Algorithm ◽  
Time And Frequency Standard

The rapid development of various kinds of aerospace application systems requires the appropriate high-accuracy time and frequency standard. This problem can be effectively solved by establishing suitable time and frequency standard in aerospace. Based on the establishment of aerospace satellite visual model, the simulation of satellite visual time on 3-layer constellation structure, including GEO satellite, IGSO satellites and MEO satellites, has been conducted. The visual features of this constellation have been gained. Combining with the major influencing factors of satellite clock correction error, aerospace time synchronization architecture on the basis of layering has been proposed. The time synchronization algorithm in line with this architecture has been researched. The results show that aerospace time frequency standard established based on this layering time synchronization architecture can meet the demand on high-accuracy time frequency of future aerospace application systems.

Task Scheduling of Cloud Computing in Weapon Network System

2014 ◽  
Vol 610 ◽  
pp. 695-698
Author(s):  
Qian Tao ◽  
Bo Pan ◽  
Wen Quan Cui
Keyword(s):  
Cloud Computing ◽  
Task Scheduling ◽  
Evaluation System ◽  
Large Scale ◽  
Rapid Development ◽  
It Industry ◽  
Control Scheme ◽  
Tasks Scheduling ◽  
Constant Bandwidth

In recent years, the rapid development of cloud computing brings significant innovation in the whole IT industry. For the local tasks scheduling on each computational node of the top model of weapon network, an open task scheduling framework was introduced a task accept control scheme based on the tasks based on load balancing, quality of service (QoS) and an improved constant bandwidth server algorithm was presented. The result of simulation shows that the scheduling policies can improve the schedule speed when the number of tasks increases and can meet the demand better for the real time requirementsof the tactical training evaluation system for complexity and Large-scale.

DOUBLE-STATE BASED BUSINESS PROCESS DESCRIPTION MODEL AND ITS OPERATIONAL SEMANTICS

2012 ◽  
Vol 22 (06) ◽  
pp. 801-837
Author(s):  
YUNXIANG ZHENG ◽  
TIANXIANG ZHENG ◽  
YANFEN ZHANG ◽  
HAI WAN
Keyword(s):  
Business Process ◽  
Process Modeling ◽  
Message Passing ◽  
Process Model ◽  
Rapid Development ◽  
Operational Semantics ◽  
Daily Routine ◽  
Business Process Model ◽  
Application Systems ◽  
Business Objects

With the rapid development of economic globalization and informationization, the Chinese e-government is still in its adolescence with a long way ahead. Based on some recent research in Guangdong province, we find that e-government affair systems play important roles therein and represent a certain kind of application called Form-centered Application Systems (FAS). After much investigation and analysis on e-government's background, daily routine and regulations, we summarize some rules and disciplines of its business process modeling, based on which we characterize requirements of FAS. Though currently many process modeling approaches or techniques have been proposed and widely used, they can not fully and easily meet the special needs. In this paper, we introduce a new business process model called Double-State Based Business Process Description Model (DSBPDM), which is composed of Business Process Model (BPM) and Dispatching Model (DM), where BPM enriches Finite State Machine (FSM) Model by three constraint checks, business logic and message passing, whereas DM delineates the dispatching and executing status of the business object in its lifetime. After presenting DSBPDM's formal definition, we discuss the essence of process forwarding by deducing its operational semantics formally. In this way, key issues such as explicit state and operation representation, rigorous constraint expression, complex authorization check, and full picture of the dispatching and executing of business objects are nicely tackled. Our practice shows that building FAS system with DSBPDM and its supporting platform fits the requirements well, provides an open and transparent view of business process, satisfies the needs of the public and officials, and helps to get a comprehensive insight into the meaning of business process forwarding.

scholarly journals Multi-objective Prediction based Task Scheduling Method in Cloud Computing

2019 ◽  
Vol 8 (4) ◽  
pp. 9388-9394 ◽  
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Task Scheduling ◽  
Job Scheduling ◽  
Sigmoid Function ◽  
Service Model ◽  
Multi Objective ◽  
Computing Paradigm ◽  
Optimal Node ◽  
Scheduling Method

Cloud Computing is Internet based computing where one can store and access their personal resources from any computer through Internet. Cloud Computing is a simple pay-per-utilize consumer-provider service model. Cloud is nothing but large pool of easily accessible and usable virtual resources. Task (Job) scheduling is always a noteworthy issue in any computing paradigm. Due to the availability of finite resources and time variant nature of incoming tasks it is very challenging to schedule a new task accurately and assign requested resources to cloud user. Traditional task scheduling techniques are improper for cloud computing as cloud computing is based on virtualization technology with disseminated nature. Cloud computing brings in new challenges for task scheduling due to heterogeneity in hardware capabilities, on-demand service model, pay-per-utilize model and guarantee to meet Quality of Service (QoS). This has motivated us to generate multi-objective methods for task scheduling. In this research paper we have presented multi-objective prediction based task scheduling method in cloud computing to improve load balancing in order to satisfy cloud consumers dynamically changing needs and also to benefit cloud providers for effective resource management. Basically our method gives low probability value for not capable and overloaded nodes. To achieve the same we have used sigmoid function and Euclidean distance. Our major goal is to predict optimal node for task scheduling which satisfies objectives like resource utilization and load balancing with accuracy.

scholarly journals Optimization and Simulation of a Reasonable Scheduling Model under Multiple Tasks in Company Management

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Zhuo Wang
Keyword(s):  
Task Scheduling ◽  
Scheduling Algorithm ◽  
Rapid Development ◽  
Optimal Solution ◽  
Solution Space ◽  
Corporate Management ◽  
Model Based ◽  
Scheduling Model ◽  
Optimization And Simulation ◽  
The Stability

With the rapid development of market economy, the task scheduling model has become the core problem in the field of corporate management. In order to solve the problem that the stability of the model will decline due to the interference of human factors in the process of multitask scheduling in the traditional algorithm, a reasonable scheduling model based on the priority principle is proposed in this paper. This paper expounds the principle of multitask scheduling in company management, constructs a multitask scheduling network model based on priority, performs virtual scheduling on the model, searches the optimal solution in the solution space of the scheduling problem, and obtains the reasonable multitask scheduling method in the company management. Through the analysis of relevant simulation experiments, it can be concluded that the task scheduling algorithm proposed in this paper can not only allocate the corresponding resources for high-priority tasks effectively, but also can save the cost, so as to show better execution efficiency.

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