Pervasive Computing envisions seamless computing support for users while performing their everyday tasks. Many of these tasks are hard to capture by the notion of a single application as their requirements on computin...
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ISBN:
(纸本)9783885791874
Pervasive Computing envisions seamless computing support for users while performing their everyday tasks. Many of these tasks are hard to capture by the notion of a single application as their requirements on computing support vary over time. To ease the development of applications for such tasks, we have designed an application model for process-oriented pervasive applications, called Sentient Processes, and a supporting middleware system implementing the flow control for processes. In this paper, we show the capabilities of the Sentient Process model to capture everyday user tasks by the example of a process supporting a student in managing his classes during a term.
The volume of data to be analyzed has increased tremendously in recent years. In order to extract knowledge from this data, domain experts gain new insights with the help of graphical analysis tools for explorative an...
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In this paper we introduce a novel scenario for environmental sensing based on the combination of simple and cheap RFID-based sensors and mobile devices like mobile phones with integrated RFID readers. We envision a s...
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Multiprocessor virtual machines expose underlying abundant computing resources to applications. This, however, also worsens the double scheduling problem where the hypervisor and a guest operating system will both do ...
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ISBN:
(纸本)9781450323161
Multiprocessor virtual machines expose underlying abundant computing resources to applications. This, however, also worsens the double scheduling problem where the hypervisor and a guest operating system will both do the CPU scheduling. Prior approaches try to mitigate the semantic gap between the two levels of schedulers by leveraging hints and heuristics, but only work in a few specific cases. This paper argues that instead of scheduling virtual CPUs (vCPUs) in the hypervisor layer, it is more beneficial to dynamically increase and decrease the vCPUs according to available CPU resources when running parallel workloads, while letting the guest operating system to schedule vCPUs to processes. Such a mechanism, which we call vCPU ballooning (VCPU-Bal for short), may avoid many problems inherent in double scheduling. To demonstrate the potential benefit of VCPU-Bal, we simulate the mechanism in both Xen and KVM by assigning an optimal amount of vCPUs for guest VMs. Our evaluation results on a 12-core Intel machine show that VCPU-Bal can achieve a performance speedup from 1.5% to 57.9% on Xen and 8.2% to 63.8% on KVM. Copyright 2013 ACM.
Moving objects databases (MODs) store objects' trajectories by spatiotemporal polylines that approximate the actual movements given by sequences of sensed positions. Determining such a polyline with as few vertice...
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Space-partitioned Moving Objects Databases (SP-MODs) allow for the scalable, distributed management of large sets of mobile objects' trajectories by partitioning the trajectory data to a network of database server...
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The rapid miniaturisation and decline in prices of computer, communication and sensor technology give rise to a number of interesting developments, such as multifunctional mobile devices, sensor platforms embedded int...
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Millions of users use location-based applications (LBAs) to share their positions with friends, request information from points of interest finders, or get notifications from event finders, etc. Such LBAs are typicall...
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An Algorithm for finding the optimal path given the initial and final positions of a cylinder-shaped mobile robot with the constraint on minimizing the search efforts is presented in this paper. This algorithm is base...
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Using software for large-scale simulations has become an important research method in many disciplines. With increasingly complex simulations, simulation software becomes a valuable assest. Yet, the quality of many si...
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