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In batch systems monitoring information at the level of individual jobs is crucial to optimize resource utilization and prevent misusage. However, especially the usage of network resources is difficult to track. In order to understand usage patterns in modern computing clusters, a more detailed monitoring than existent solutions is required. A monitoring on job level leads to dynamic graphs of processes...
Static evacuation plans for buildings are generally designed to perform optimally when the building is at full capacity. We present a dynamic evacuation guidance system which does this regardless of the number of evacuees, by tailoring a flow-optimal evacuation plan to the current situation. The system assigns routes using a capacity-constrained routing algorithm which anticipates evolutions in path...
Cloud Computing provides a convenient means of remote and pay-per-use access to computing resources in forms of Virtual Machines (VMs). Specially, with cloud computing, service providers no longer need to maintain a large number of expensive physical machines, which can significantly reduce the cost. However, due to the fluctuation and uncertainty of the future demands, it is still a challenge for...
In this paper, we present an automatic marking system for marking interactive exercises related to heuristic search algorithms. It aims to assist tutors in assessing the performance of students and reduce the workload associated with their marking task. Also, it provides individualized and immediate feedback to the students. Automatic marking is achieved in two stages. First, the system compares a...
Regression testing ensures that previous faults do not recur. When a fault is reported and fixed, the testing team augments the test suite with a new test case that exercises the fault in the original program. Typically the new test case covers patterns of program elements associated with the fault. However, this test might become obsolete (i.e., does not cover the targeted patterns anymore) when...
Researchers in the dynamic program analysis field have extensively used cluster analysis to address various problems. Typically, the clustering techniques are applied onto execution profiles having high dimensionality (i.e., involving a large number of profiling elements), sometimes in the order of thousands or even hundreds of thousands. Our concern is that the high number of profiling elements might...
Web applications play a major role in various enterprise and cloud services. With the popularity of social networks and with the speed at which information can be disseminate around the globe, online systems need to face ever growing, unpredictable peak load events. Auto-scaling technique provides on-demand resources according to workload in cloud computing system. However, most of the existing solutions...
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