the reliability of a cluster-based multiprocessor system is analytically evaluated using modeling techniques. the results indicate that the cluster-based system has low reliability relative to the crossbar and multipl...
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Withthe increasing prevalence of IoT devices, efficiently using these resources to process data has become a topic of great relevance and the interest in systems for distributed data stream processing on heterogeneou...
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ISBN:
(纸本)9798400704437
Withthe increasing prevalence of IoT devices, efficiently using these resources to process data has become a topic of great relevance and the interest in systems for distributed data stream processing on heterogeneous edge hardware is rising. A core challenge in developing and evaluating those systems lies in the dynamic and heterogeneous environments that such systems need to operate in. With GALOISim, we present a simulation software to develop and test algorithms for operator placement and clustering in hierarchical, distributed environments. the application enables users to submit algorithms and simulate their behavior against user-defined topologies and queries and interactively explore the results.
StreamToxWatch, or ToxWatch for short, is an early-stage ensemble architecture for data poisoning detection and monitoring in online learning systems over streams. Detecting data poisoning is difficult, especially in ...
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throughput maximization is one of the main challenges in cognitive radio ad hoc networks, where local spectrum resources may change from time to time and hop-by-hop. For this reason, a cross-layer opportunistic spectr...
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ISBN:
(纸本)9781605586168
throughput maximization is one of the main challenges in cognitive radio ad hoc networks, where local spectrum resources may change from time to time and hop-by-hop. For this reason, a cross-layer opportunistic spectrum access and dynamic routing algorithm for cognitive radio networks is proposed, called ROSA (ROuting and Spectrum Allocation algorithm). through local control actions, ROSA aims at maximizing the network throughput by performing joint routing, dynamic spectrum allocation, scheduling, and transmit power control. Specifically, the algorithm dynamically allocates spectrum resources to maximize the capacity of links without generating harmful interference to other users while guaranteeing bounded BER for the receiver. In addition, the algorithm aims at maximizing the weighted sum of differential backlogs to stabilize the system by giving priority to higher-capacity links with high differential backlog. the proposed algorithm is distributed, computationally efficient, and with bounded BER guarantees. ROSA is shown through discrete-event packet-level simulations to outperform baseline solutions leading to a high throughput, low delay, and fair bandwidth allocation.
Powerful public transportation infrastructures are indispensable for today's rapidly growing metropolitan areas and service breakdowns potentially affect millions of passengers. thus, fast mitigation of emergency ...
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In this paper, distributed optimization problem is investigated for continuous-time multi-agent systems with external disturbance and discrete-time communication. A distributed optimization algorithm with an event-tri...
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ISBN:
(纸本)9781509017386
In this paper, distributed optimization problem is investigated for continuous-time multi-agent systems with external disturbance and discrete-time communication. A distributed optimization algorithm with an event-triggered strategy is designed, in order to reduce the communication cost. the proposed internal-model-based algorithm is proved to be effective and free of Zeno behavior with exponential convergence rate. Moreover, numerical simulation results also verify its effectiveness.
Dependability and fault-tolerance, which are key requirements for business-or safety-critical applications, require explicit knowledge of potential faults that may occur within a system. In contrast to other major res...
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systems for highly interconnected application domains are increasingly taking advantage of graph-based computing platforms. Existing platforms employ a batch-oriented computing model and neglect near-realtime processi...
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ISBN:
(纸本)9781450332866
systems for highly interconnected application domains are increasingly taking advantage of graph-based computing platforms. Existing platforms employ a batch-oriented computing model and neglect near-realtime processing or temporal analysis. We suggest an extended conceptual model for event-driven computing on graphs. It takes into account the evolution of a graph and enables temporal analyses, processing on previous graph states, and retroactive modifications. Copyright 2015 acm.
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