An integrated time management model for distributed workflow management systems in Grid environments

2009 ◽  
Vol 21 (16) ◽  
pp. 2084-2098 ◽  
Author(s):  
Jianxun Liu ◽  
Chunjie Zhou ◽  
Jian Cao
Keyword(s):  
Time Management ◽  
Workflow Management ◽  
Management Model ◽  
Management Systems ◽  
Workflow Management Systems ◽  
Distributed Workflow ◽  
Grid Environments

Workflow Management Systems in Distributed Environments

2011 ◽  
pp. 115-132
Author(s):  
Spyridon V. Gogouvitis ◽  
Kleopatra G. Konstanteli ◽  
Dimosthenis Kyriazis ◽  
Gregory Katsaros ◽  
Tommaso Cucinotta ◽  
...  
Keyword(s):  
Distributed Systems ◽  
Workflow Management ◽  
Scheduling Algorithms ◽  
Management Systems ◽  
Distributed Environments ◽  
Advance Reservation ◽  
Workflow Management Systems ◽  
Service Oriented Architectures ◽  
Grid Environments ◽  
Service Oriented

With the advent of Service Oriented Architectures, more applications are built in a distributed manner based on loose coupled services. In this context, Workflow Management Systems play an important role as they are the means to both define the processes that realize the application goals as well as implement the orchestration of the different services. The purpose of the chapter is to give an overview of various solutions regarding workflow semantics and languages, as well as their enactment within the scope of distributed systems. To this end, major focus is given to solutions that are aimed at Grid environments. Scheduling algorithms and advance reservation techniques are also discussed as these are among the hottest research topics in Workflow Management Systems.

Intra-Subnet Load Balancing in Distributed Workflow Management Systems

2003 ◽  
Vol 12 (03) ◽  
pp. 295-323 ◽  
Author(s):  
Thomas Bauer ◽  
Manfred Reichert ◽  
Peter Dadam
Keyword(s):  
Communication Network ◽  
Load Balancing ◽  
Workflow Management ◽  
High Load ◽  
Management Systems ◽  
Single Server ◽  
Workflow Management Systems ◽  
Distributed Workflow ◽  
Novel Approach ◽  
Very High

For enterprise-wide and cross-organizational process-oriented applications, the execution of workflows (WF) may generate a very high load. This load may affect WF servers as well as the underlying communication network. To improve system scalability, several approaches for distributed WF management have been proposed in the literature. They have in common that different partitions of a WF instance graph may be controlled by different WF servers from different subnets. The control over a particular WF instance, therefore, may be transferred from one WF server to another during run-time if this helps to reduce the overall communication load. Thus far, such distributed approaches assume that exactly one WF server resides in each subnet. A single server per subnet, however, may become overloaded. In this paper, we present and verify a novel approach for replicating WF servers in a distributed workflow management system. It enables an arbitrary and changeable distribution of the load to the WF servers of the same subnet, without requiring additional communication.

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