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Complex applications in e-science and e-business are usually modeled as workflows, which often require the power of the Grid to run efficiently. Cost optimization for workflow applications with deadline constraints is a fundamental problem on Grids. In this paper, a workflow scheduling algorithm that minimizes execution cost while meeting the deadline is proposed. The proposed solution consists of...
Data stream management systems (DSMSs) usually need to satisfy multiple QoS requirements of applications, including timing and precision constraints. This paper focuses on the problem of real-time query model and scheduling in a DSMS to meet multiple performance objectives. At first, a mixed real-time query model is introduced which is composed of periodic, continuous and one-time queries with deadlines...
Many stream-based applications have real-time performance requirements for continuous queries over time varying data streams. In order to address this challenge, a real-time continuous query model is presented to process multiple queries with timing constraints. In this model, the execution of one tuple passing through an operator path is modeled as a real-time task instance. A fine-grained scheduling...
This paper presents a newly developed resource constrained project scheduling method in stochastic networks by using critical chain concept. The objective of the presented model is defined as minimizing the multiplication of expected project duration and its variance. This paper suggests a competition routine by implementing a policy to maximize the total contribution of selected activities in reducing...
Load shedding is a challengeable issue in data stream management systems (DSMSs). When data stream rates exceed system capacity, the overloaded DSMS fails to process all of its input data and keep up with the rate of data arrival. Especially, in a time-critical environment, queries should be completed not just timely but within certain deadlines. Existing strategies are poor at handling huge fluctuant...
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