Control-flow versus data-flow-based scheduling: combining both approaches in an adaptive scheduling system

1997 ◽  
Vol 5 (1) ◽  
pp. 82-100 ◽  
Author(s):  
R.A. Bergamaschi ◽  
S. Raje ◽  
I. Nair ◽  
L. Trevillyan
Keyword(s):  
Data Flow ◽  
Control Flow ◽  
Adaptive Scheduling ◽  
Scheduling System ◽  
Versus Data

scholarly journals A Detection Method for Abnormal Transactions in E-Commerce Based on Extended Data Flow Conformance Checking

2022 ◽  
Vol 2022 ◽  
pp. 1-14
Author(s):  
Yadi Wang ◽  
Wangyang Yu ◽  
Peng Teng ◽  
Guanjun Liu ◽  
Dongming Xiang
Keyword(s):  
Anomaly Detection ◽  
Business Processes ◽  
Data Flow ◽  
Detection Algorithm ◽  
Control Flow ◽  
Smart Devices ◽  
Integration Model ◽  
Whole Process ◽  
Mobile Transaction ◽  
And Control

With the development of smart devices and mobile communication technologies, e-commerce has spread over all aspects of life. Abnormal transaction detection is important in e-commerce since abnormal transactions can result in large losses. Additionally, integrating data flow and control flow is important in the research of process modeling and data analysis since it plays an important role in the correctness and security of business processes. This paper proposes a novel method of detecting abnormal transactions via an integration model of data and control flows. Our model, called Extended Data Petri net (DPNE), integrates the data interaction and behavior of the whole process from the user logging into the e-commerce platform to the end of the payment, which also covers the mobile transaction process. We analyse the structure of the model, design the anomaly detection algorithm of relevant data, and illustrate the rationality and effectiveness of the whole system model. Through a case study, it is proved that each part of the system can respond well, and the system can judge each activity of every mobile transaction. Finally, the anomaly detection results are obtained by some comprehensive analysis.

An Adaptive Scheduling System for Computational Grid using Autonomic Computing

2012 ◽  
Vol 47 (13) ◽  
pp. 12-19
Author(s):  
Ebrahim Aghaei ◽  
Mohammad Saniee Abadeh ◽  
Mohammad Hossein Yektaie
Keyword(s):  
Autonomic Computing ◽  
Computational Grid ◽  
Adaptive Scheduling ◽  
Scheduling System
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