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The Ant Colony Optimization algorithms (ACO) are computational models inspired by the collective foraging behavior of ants. By looking at the strengths of ACO, they are the most appropriate for scheduling of tasks in soft real-time systems. In this paper, ACO based scheduling algorithm for real-time operating systems (RTOS) has been proposed. During simulation, results are obtained with periodic tasks,...
Dynamic scheduling has been always a challenging problem for real-time distributed systems. EDF (Earliest Deadline First) algorithm has been proved to be optimal scheduling algorithm for single processor real-time systems and it performs well for distributed systems also. In this paper, we have proposed scheduling algorithms for client/server distributed system with soft timing constraints. The algorithms...
Testing is the most important Quality Assurance (QA) measure which consumes a significant portion of budget, time and effort in the development process. For real time systems, temporal testing is as crucial as functional testing. An important activity in dynamic testing is the test case design. Evolutionary testing has shown promising results for the automation of test case design process at a reasonable...
Next generation data centers must be designed to meet service level agreements (SLAs) for application performance while reducing costs and environmental impact. Traditional design approaches are manually intensive and must integrate thousands of components at multiple granularities, often with conflicting goals. We propose an automated data center synthesizer to design sustainable data centers that...
EDF (earliest deadline first) has been proved to be optimal scheduling algorithm for single processor real-time system. It also performs well for multiprocessor system. Limitation of EDF is that its performance decreases exponentially when system becomes slightly overloaded. ACO (ant colony optimization) based scheduling algorithm performs well in both underloaded and overloaded conditions. But its...
EDF (earliest deadline first) has been proved to be optimal scheduling algorithm for single processor realtime operating systems when the systems are preemptive and underloaded. The limitation of this algorithm is, its performance decreases exponentially when system becomes slightly overloaded. Authors have already proved ability of ACO (Ant Colony Optimization) based scheduling algorithm for real-time...
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