The workflow management of incident command systems (ICSs) has been challenged by the systems' special requirements on flexibility, intuitiveness, and capacity of correctness verification. The significance of appl...
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The workflow management of incident command systems (ICSs) has been challenged by the systems' special requirements on flexibility, intuitiveness, and capacity of correctness verification. The significance of applying formal approaches to the modeling and analysis of workflows has been well recognized, and many such approaches have been proposed. However, these approaches require users to master considerable knowledge of the particular formalisms, which impacts the application of these approaches on a larger scale. This paper presents a new formal, yet intuitive, approach for the modeling and analysis of workflows, which attempts to overcome the aforementioned problem In addition to the abilities of supporting workflow validation, enactment, this new approach possesses the distinguishing feature of allowing users who are not proficient in formal methods to build up and dynamically modify the workflow models that address the flexibility needs of ICSs.
In many businesses, information systems must be able to respond quickly and effectively to changing conditions so that productivity is maintained and potential losses are avoided. A metadata approach is proposed that ...
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In many businesses, information systems must be able to respond quickly and effectively to changing conditions so that productivity is maintained and potential losses are avoided. A metadata approach is proposed that dynamically assigns work according to the skill level of account managers. A prototype user interface is presented. (C) 1998 Elsevier Science Ltd. All rights reserved.
Scientific workflow systems aim to provide user friendly, end-to-end solutions for automating and simplifying computational or data intensive tasks. A number of workflow environments have been developed in recent year...
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ISBN:
(纸本)9789532330816
Scientific workflow systems aim to provide user friendly, end-to-end solutions for automating and simplifying computational or data intensive tasks. A number of workflow environments have been developed in recent years to provide support for the specification and execution of scientific workflows. Normal static workflows can poorly cope with the ever changing status of the existing distributed systems. During workflow enactment unforeseen scenarios may arise, which can cause significant delays, failed executions, or improper results. Manual workflow enactment has its obvious limitations, however automatic failover mechanisms require minimum an accurate information set about the workflow tasks and about the status of the underlying processing infrastructure. Dynamism can be defined at different abstraction levels and in different phases of the workflow lifecycle. In this paper we identify the requirements of dynamic workflows in general and provide a thorough survey about gUSE/WSPGRADE's dynamic workflow handling capabilities.
Modern biological and chemical studies rely on life science databases as well as sophisticated software tools (e.g., homology search tools, modeling and visualization tools). These tools often have to be combined and ...
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Modern biological and chemical studies rely on life science databases as well as sophisticated software tools (e.g., homology search tools, modeling and visualization tools). These tools often have to be combined and integrated in order to support a given study. SIBIOS (System for the Integration of Bioinformatics Services) serves this purpose. The services are both life science database search services and software tools. The task engine is the core component of SIBIOS. It supports the execution of dynamic workflows that incorporate multiple bioinformatics services. The architecture of SIBIOS, the approaches to addressing the heterogeneity as well as interoperability of bioinformatics services, including data integration are presented in this paper.
Two features of this dynamic workflow system make it suitable for the use of quasi-intelligent agents: (a) workflow processes need not be fully specified, and so can be non-prescriptive in approach, and (b) a job can ...
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Two features of this dynamic workflow system make it suitable for the use of quasi-intelligent agents: (a) workflow processes need not be fully specified, and so can be non-prescriptive in approach, and (b) a job can be modified independently of the process of which it is an instance, and so some participants may have permissions to change its course. In the architecture that has been chosen for the research, web clients are used, and web agents generate suggestions based on analysis of the process itself, the current job, and the records of previous jobs. (C) 2001 Elsevier Science B.V. All rights reserved.
The design of dynamic worlflows needs adequate modeling/specification formalisms and tools to soundly handle possible changes occurring during workflow operation. A common approach is to pollute design with details th...
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ISBN:
(纸本)9780769530789
The design of dynamic worlflows needs adequate modeling/specification formalisms and tools to soundly handle possible changes occurring during workflow operation. A common approach is to pollute design with details that do not regard the current workflow behavior but rather its evolution. That hampers analysis, reuse and maintenance in general. We propose and discuss the adoption of a recent Petri Net based reflective model (based on classical PN) as a support to dynamic workflow design, by addressing a localized problem: how to determine what tasks should be redone and which ones do not when transferring a workflow instance from an old to a new template. Behind there is the idea that keeping functional aspects separated from evolutionary ones, and applying evolution to the (current) workflow template only when necessary, results in a simple reference model on which the ability of formally verifying typical work-flow properties is preserved, thus favoring a dependable adaptability.
The exploration of Computer-Supported Cooperative Work (CSCW) in military fields is how to enhance the combat efficiency via computer technology. Along with the appearance of advanced weapon and the increasing of camp...
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ISBN:
(纸本)9781424416509
The exploration of Computer-Supported Cooperative Work (CSCW) in military fields is how to enhance the combat efficiency via computer technology. Along with the appearance of advanced weapon and the increasing of campaign complexity, it is essential that the system must be capable of supporting the ability of high performance cooperation as well as possessing the dynamic and flexible processing ability. Thereby the dynamic workflow is introduced into the system based on the analysis of cooperative engagement. At the same time, aiming at cooperative engagement, the program management system architecture is proposed with which the prototype of cooperative engagement system is developed This paper implements the application of CSCW in military fields by which the whole campaign efficiency will be improved maximally.
Two features of this dynamic workflow system make it suitable for the use of quasi-intelligent agents: (a) workflow processes need not be fully specified, and so can be non-prescriptive in approach, and (b) a job can ...
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Two features of this dynamic workflow system make it suitable for the use of quasi-intelligent agents: (a) workflow processes need not be fully specified, and so can be non-prescriptive in approach, and (b) a job can be modified independently of the process of which it is an instance, and so some participants may have permissions to change its course. In the architecture that has been chosen for the research, web clients are used, and web agents generate suggestions based on analysis of the process itself, the current job, and the records of previous jobs. (C) 2001 Elsevier Science B.V. All rights reserved.
In recent years, Big Data has changed how we do computing. Even though we have large scale infrastructure such as Cloud computing and several platforms such as Hadoop available to process the workloads, with Big Data ...
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ISBN:
(纸本)9781467372787
In recent years, Big Data has changed how we do computing. Even though we have large scale infrastructure such as Cloud computing and several platforms such as Hadoop available to process the workloads, with Big Data there is a high level of uncertainty that has been introduced in how an application processes the data. Data in general comes in different formats, at different speed and at different volume. Processing consists of not just one application but several applications combined to form a workflow to achieve a certain goal. With data variation and at different speed, applications execution and resource needs will also vary at runtime. These are called dynamic workflows. One can say that we can just throw more and more resources during runtime. However this is not an effective way as it can lead to, in the best case, resource wastage or monetary loss and in the worst case, delivery of outcomes much later than when it is required. Thus, scheduling algorithms play an important role in efficient execution of dynamic workflow applications. In this paper, we evaluate several most commonly used workflow scheduling algorithms to understand which algorithm will be the best for the efficient execution of dynamic workflows.
In the environment of the current workflow, dynamic changes of enterprise' information are inevitable, so it is very necessary to detect and monitor dynamic workflow information for system reconstruction. The Moni...
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ISBN:
(纸本)9789881824202
In the environment of the current workflow, dynamic changes of enterprise' information are inevitable, so it is very necessary to detect and monitor dynamic workflow information for system reconstruction. The Monitoring workflow involves not only collecting and querying information, but also reconstructing, recompiling and Re-implementing process model. This paper proposes an effective mechanism that triggers are used in current database system to monitor information and data flow, which stores trigger components based on dynamic Object Model (DOM) to break the limits that current trigger cannot respond to dynamic changes of data flow, so as to improve the ability of expressing Event - Conditions - Action (ECA) rules, and to increase the ability of adapting dynamic changes of workflow system.
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