Process engine interoperability: An experiment

1996 ◽  
pp. 42-60 ◽  
Author(s):  
Jacky Estublier ◽  
Samir Dami
Keyword(s):  
Process Engine

scholarly journals Resource Controllability of Business Processes Under Conditional Uncertainty

2021 ◽  
Author(s):  
Matteo Zavatteri ◽  
Carlo Combi ◽  
Luca Viganò
Keyword(s):  
Access Control ◽  
Business Process ◽  
Process Management ◽  
Business Processes ◽  
Autonomous Systems ◽  
Research Problem ◽  
Current Research Problem ◽  
Constraint Networks ◽  
Process Engine ◽  
A Current

AbstractA current research problem in the area of business process management deals with the specification and checking of constraints on resources (e.g., users, agents, autonomous systems, etc.) allowed to be committed for the execution of specific tasks. Indeed, in many real-world situations, role assignments are not enough to assign tasks to the suitable resources. It could be the case that further requirements need to be specified and satisfied. As an example, one would like to avoid that employees that are relatives are assigned to a set of critical tasks in the same process in order to prevent fraud. The formal specification of a business process and its related access control constraints is obtained through a decoration of a classic business process with roles, users, and constraints on their commitment. As a result, such a process specifies a set of tasks that need to be executed by authorized users with respect to some partial order in a way that all authorization constraints are satisfied. Controllability refers in this case to the capability of executing the process satisfying all these constraints, even when some process components, e.g., gateway conditions, can only be observed, but not decided, by the process engine responsible of the execution. In this paper, we propose conditional constraint networks with decisions (CCNDs) as a model to encode business processes that involve access control and conditional branches that may be both controllable and uncontrollable. We define weak, strong, and dynamic controllability of CCNDs as two-player games, classify their computational complexity, and discuss strategy synthesis algorithms. We provide an encoding from the business processes we consider here into CCNDs to exploit off-the-shelf their strategy synthesis algorithms. We introduce $$\textsc {Zeta}$$ Z E T A , a tool for checking controllability of CCNDs, synthesizing execution strategies, and executing controllable CCNDs, by also supporting user interactivity. We use $$\textsc {Zeta}$$ Z E T A to compare with the previous research, provide a new experimental evaluation for CCNDs, and discuss limitations.

Design and Realisation of Scalable Business Process Management Systems for Deployment in the Cloud

2021 ◽  
Vol 12 (4) ◽  
pp. 1-26
Author(s):  
Chun Ouyang ◽  
Michael Adams ◽  
Arthur H. M. Ter Hofstede ◽  
Yang Yu
Keyword(s):  
Load Balancing ◽  
Business Process ◽  
Business Process Management ◽  
Process Management ◽  
Business Processes ◽  
Management Systems ◽  
User Demand ◽  
Process Engine ◽  
Automated Support ◽  
Dynamic Execution

Business Process Management Systems ( BPMSs ) provide automated support for the execution of business processes in modern organisations. With the emergence of cloud computing, BPMS deployment considerations are shifting from traditional on-premise models to the Software-as-a-Service ( SaaS ) paradigm, aiming at delivering Business Process Automation as a Service. However, scaling up a traditional BPMS to cope with simultaneous demand from multiple organisations in the cloud is challenging, since its underlying system architecture has been designed to serve a single organisation with a single process engine. Moreover, the complexity in addressing both the dynamic execution environment and the elasticity requirements of users impose further challenges to deploying a traditional BPMS in the cloud. A typical SaaS often deploys multiple instances of its core applications and distributes workload to these application instances via load balancing. But, for stateful and often long-running process instances, standard stateless load balancing strategies are inadequate. In this article, we propose a conceptual design of BPMS capable of addressing dynamically varying demands of end users in the cloud, and present a prototypical implementation using an open source traditional BPMS platform. Both the design and system realisation offer focused strategies on achieving scalability and demonstrates the system capabilities for supporting both upscaling, to address large volumes of user demand or workload, and downscaling, to release underutilised computing resources, in a cloud environment.

ADPE: Agent-Based Decentralized Process Engine

2005 ◽  
Vol E88-D (3) ◽  
pp. 603-609 ◽  
Author(s):  
S.-C. CHOU
Keyword(s):  
Agent Based ◽  
Process Engine

Compensation Research of Engine Oil Pressure Sensor Based on MEMS

2013 ◽  
Vol 325-326 ◽  
pp. 765-768
Author(s):  
Sheng Bing Yang ◽  
Shuai Wang ◽  
Yan Xia Su ◽  
Feng Xu ◽  
Zhen Zhen Li
Keyword(s):  
Pressure Sensor ◽  
Temperature Compensation ◽  
Output Voltage ◽  
Zero Point ◽  
Engine Oil ◽  
Lubrication System ◽  
Working Process ◽  
Point Pressure ◽  
Process Engine ◽  
Pressure Compensation

The engine lubrication system plays an important role in the engine working process. Engine electronic oil pressure sensor based on piezoresistor pressure sensor MEMS with contactless measure technology is designed in this paper. This sensor includes a signal disposal chip which provides zero point pressure compensation, temperature compensation and sensitivity compensation and a chip which is used to adjust the duty cycle according to the output voltage of the signal disposal chip. The experiments show that the Engine electronic oil pressure sensor works well with excellent characteristic.

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