When multiple participants work on a workflow that represents a large, collaborative activity, it is important to have a well defined process to determine the portions of the workflow that each participant is responsible for executing. In this paper, we describe a process and related algorithms required to assign tasks in a workflow, to hosts that are willing to carry out the execution of these tasks, and thereby contributing to the completion of the activity. This problem is a stylized form of the multi-processor scheduling algorithm which has been shown to be NP-Hard. Further complicating the issue is that we are targeting our approach to mobile ad hoc networks, where hosts are physically mobile, communication links are frequently interru...
A very large number of applications that are currently deployed on large scale distributed systems s...
This study investigates the task assignment problem where a fleet of dispersed vehicles needs to vis...
Data analytic jobs usually require large volumes of data inputs that are available at geographically...
When multiple participants work on a workflow that represents a large, collaborative activity, it is...
Abstract: When multiple participants work on a workflow that represents a large, collaborative activ...
The workflow model is well suited for scenarios where many entities work collaboratively towards a c...
Groupware activities provide a powerful representation for many collaborative tasks. Today, the tech...
This thesis describes an architecture for distributed computation in mobile environments. Here, the ...
Mobile ad hoc networks (MANETs) have received significant attention recently owing to the increasing...
Designing software that supports collaboration among multiple users in mobile ad hoc networks is cha...
Continued rapid improvements in the hardware capabilities of mobile computing devices is driving a p...
A central challenge in networked and distributed systems is resource management: how can we partitio...
The assignment problem originally arising from parallel and distributed computing has been investiga...
This dissertation develops a framework to address centralized and distributed constrained task assig...
The revolution in IT has changed our lifestyles. Now it is possible to access our personal, financia...
A very large number of applications that are currently deployed on large scale distributed systems s...
This study investigates the task assignment problem where a fleet of dispersed vehicles needs to vis...
Data analytic jobs usually require large volumes of data inputs that are available at geographically...
When multiple participants work on a workflow that represents a large, collaborative activity, it is...
Abstract: When multiple participants work on a workflow that represents a large, collaborative activ...
The workflow model is well suited for scenarios where many entities work collaboratively towards a c...
Groupware activities provide a powerful representation for many collaborative tasks. Today, the tech...
This thesis describes an architecture for distributed computation in mobile environments. Here, the ...
Mobile ad hoc networks (MANETs) have received significant attention recently owing to the increasing...
Designing software that supports collaboration among multiple users in mobile ad hoc networks is cha...
Continued rapid improvements in the hardware capabilities of mobile computing devices is driving a p...
A central challenge in networked and distributed systems is resource management: how can we partitio...
The assignment problem originally arising from parallel and distributed computing has been investiga...
This dissertation develops a framework to address centralized and distributed constrained task assig...
The revolution in IT has changed our lifestyles. Now it is possible to access our personal, financia...
A very large number of applications that are currently deployed on large scale distributed systems s...
This study investigates the task assignment problem where a fleet of dispersed vehicles needs to vis...
Data analytic jobs usually require large volumes of data inputs that are available at geographically...