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As for the special architecture of the stack processor, to improve the real-time performance, by adopting a multi-task stacking technology and the Forth self-generator technology, this paper proposed a stack-processor-based preemptive and round-robin scheduling method, which made the multi-tasks run on the Forth stack processor in a real-time manner and made up for the deficiencies of the processor in the real-time multi-task operating system. The experiments show that, compared with the current register processor-based embedded Forth real-time systems, the proposed method improves the real-time performance obviously on the three vital metrics of real-time task performance:maximum interrupt time, task context switching time, and task response time. As a result, it ensures the efficiency and security of Forth system applications, and meets the application demand for the Forth stack processor real-time multitasking operating system. [ABSTRACT FROM AUTHOR]

The control cost and performance difference of various servers in the heterogeneous cloud data center will affect to the operation and maintenance management cost and QoS game balance. Since the task arrival rate is time-sensitive, this paper presented a la rge-scale task scheduling with task arrival rate awareness. Using the task arrival rate and the current state of the server in the cluster, based on saving server operation costs and load balancing of each server in task scheduling, the model could optimize the mean response time and system throughput of the heterogeneous cloud data center. By analyzing of the experimental results, it verifies that the credibility of the cluster server control model in task scheduling is at least at a confidence level of 95%. By comparing with the strategy of SRIT and RabbitMQ, the result verifies the validity and feasibility of the model. [ABSTRACT FROM AUTHOR]

In order to solve the shortcomings of current Hadoop cluster inherent scheduling distributed methods in heterogeneous resource environments, this paper proposed an adaptive scheduling algorithm NCAS based on the node capability. Firstly, NCAS algorithm calculated the scheduling factor based on node performance and task characteristics; Secondly, the scheduling factor determined the amount of data and the number of task slot that each node should be assigned; Finally, NCAS algorithm dispatched data and tasks more into fast nodes and less into slow nodes. Experimental results show that, compared with the traditional scheduling algorithms, NCAS algorithm can greatly reduce the number of speculative tasks, significantly reduce the job completion time, and improve the task execution efficiency. [ABSTRACT FROM AUTHOR]

For the problem of lacking real-time scheduling mechanism in the embedded Forth operating system at present, this paper investigated the key technologies of multitask-scheduling of embedded operating system based on Forth virtual machine architecture. On the basis of Forth virtual machine technology, this paper defined a new interrupt task type to deal with real-time emergencies and proposed a new scheduling algorithm, which enabled the scheduling of terminal tasks, background tasks and interrupt tasks in Forth system to be successfully executed. The experimental results demonstrate that the improved Forth system can handle emergencies through real-time scheduling and has a high real-time response. It is especially suitable for the embedded environment which is required for real-time performance, so as to meet the increasingly complex application requirements of embedded system for efficient operating system and Forth technology. [ABSTRACT FROM AUTHOR]