Effect of staffing pattern on software project: An empirical analysis
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
Software multi-project resource scheduling: a comparative analysis
ICSP'08 Proceedings of the Software process, 2008 international conference on Making globally distributed software development a success story
| Hi-index | 0.00 |
The paper proposes an adaptive organizational policy, TRACE (Task and Resource Allocation in a Computational Economy), incorporating task and resource allocation for MAS (multi agent system) that operate under time constraints and load variations. The MAS is comprised of several problem-solving organizations. The task allocation protocol (TAP) takes requests and plans and allocates subtasks to agents within an organization. As requests arrive arbitrarily, at any instant, some organizations could have surplus resources while others could become overloaded. In order to minimize the number of lost requests caused by an overload, the allocation of resources to organizations is changed dynamically by the price-directed resource allocation protocol (RAP). Simulation results show that TRACE exhibits high performance despite unanticipated changes in the environment.