By connecting to a Wise-ShopFloor framework, it enables real-time machine availability and execution status monitoring during metal-cutting operations, both locally or remotely.
Availability ensures the execution of the application under failure of processing devices.
Control tasks are to be scheduled within given availability limits on execution time, which change stochastically in time.
The efficient design of computation intensive multidimensional signal processing applications requires dealing with three kinds of constraints: those implied by the data dependencies, the non-functional requirements (real-time, power consumption) and resources availability of the execution platform.
Any of us has experienced a situation when deciding to buy a certain product, say, a washing machine, and trying to figure out its characteristics, such as availability of delayed execution, steam and aquastop functions, we browsed the Web and encountered an excessive amount of information on the product.
There are many QoS properties of Web services, such as response time, execution cost, availability, or reputation, etc.
When we compare the average delay of CHUK and MSF guidelines with the hypothetical minimal delay according to the local situation regarding availability and speed of execution of tests and treatments, the CHUK algorithm was the fastest, followed by that of MSF.
We then propose to use helper threads to adapt the application execution to CPU availability change in general with the goal of minimizing the EDP.
Adopting a suitable representation for the business process, we present a mathematical optimization problem which considers several quality-of-service objectives: cost, execution time, reliability, availability and reputation.
Instead, the availability of data triggers the execution of operations.
At the time of scheduling, the scheduler needs to consider a number of constraints, including the nature of the task, the size of the task, the task execution time, the availability of resources, the task queue, and the load on the resources.
