拘留
发表于 2025-3-23 12:46:17
Scalar: A Distributed Scalability Analysis Frameworkthreads, and built-in node monitoring to detect resource bottlenecks in the benchmark framework deployment itself. Furthermore, it offers highly scalable results analysis that exploits data locality and characterizes the overall system scalability in terms of the Universal Scalability Law.
ODIUM
发表于 2025-3-23 15:12:46
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Dna262
发表于 2025-3-23 21:53:05
Quantitative Evaluation of Service Dependability in Shared Execution Environmentsof the Netherlands), making energy a major factor in IT costs. However, according to , due to the growing number of underutilized servers, only 6 - 12% of the energy consumption in data centers nowadays is spent for performing computations.
pus840
发表于 2025-3-24 01:48:19
A Structured Solution Approach for Markov Regenerative Processesov chain by performing a transient analysis in each step. This method is called “matrix free” and it is often more efficient in memory and time. In this paper we go one step further by even avoiding the storage of the generator matrices required by the matrix-free method, thanks to the use of a Kronecker representation.
Detoxification
发表于 2025-3-24 05:22:53
Probabilistic Model Checking of DTMC Models of User Activity Patterns that characterise user behaviour, based on activity patterns inferred from actual logged user traces. We encode these new models in a probabilistic model checker and use probabilistic temporal logics to gain insight into software usage. We motivate and illustrate our approach by application to the logged user traces of an iOS app.
情感脆弱
发表于 2025-3-24 10:35:01
Performance Comparison of IEEE 802.11 DCF and EDCA for Beaconing in Vehicular Networkshe latter is the mandated method to be used in vehicular networks (in 802.11p). We present validated analytical models for both DCF and EDCA, and compare both methods in the context of beaconing.We will show that, surprisingly,DCF outperforms EDCA under assumptions that are realistic for beaconing in vehicular networks.
Assault
发表于 2025-3-24 11:04:59
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成份
发表于 2025-3-24 16:31:21
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GRATE
发表于 2025-3-24 19:03:21
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机密
发表于 2025-3-25 00:30:39
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