Titlebook: ComputerPerformance Engineering; 18th European Worksh Katja Gilly,Nigel Thomas Conference proceedings 2023 The Editor(s) (if applicable) an

GRASS

書目名稱ComputerPerformance Engineering影響因子(影響力)




書目名稱ComputerPerformance Engineering影響因子(影響力)學(xué)科排名




書目名稱ComputerPerformance Engineering網(wǎng)絡(luò)公開度




書目名稱ComputerPerformance Engineering網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱ComputerPerformance Engineering被引頻次




書目名稱ComputerPerformance Engineering被引頻次學(xué)科排名




書目名稱ComputerPerformance Engineering年度引用




書目名稱ComputerPerformance Engineering年度引用學(xué)科排名




書目名稱ComputerPerformance Engineering讀者反饋




書目名稱ComputerPerformance Engineering讀者反饋學(xué)科排名

怒目而視

A Robust Approximation for Multiclass Multiserver Queues with Applications to Microservices Systemsbest (called AB) combines class aggregation and a binomial approximation to the queue state (which assumes that users behave independently). Over the parameters of greatest relevance, two-thirds of the errors are less than 5%. The largest errors, up to about 30%, occur near the onset of saturation.

condone

M/M/,/Setup Queues: Conditional Mean Waiting Times and?a?Loop Algorithm to?Derive Customer Equilibrito compute the equilibrium threshold strategy of strategic customers, and calculate performance measures of the system in equilibrium. Finally, we consider optimal system design through several numerical examples, focusing on maximizing social welfare.

installment

規(guī)范要多

A Scalable Opinion Dynamics Model Based on?the?Markovian Agent Paradigmlinear way. Results show how this modeling paradigm is effective and flexible in providing transient and steady-state solutions for several conditions of parameter settings. This opens the way for future work in modeling more complex scenarios such as gossip-based interactions or the presence of stubborn agents.

Pert敏捷

Pert敏捷

dapper

Conference proceedings 2023he papers presented at the workshop reflect the diversity of modern performance engineering. The sessions covered a wide range of topics including robustness analysis, machine learning, edge and cloud computing, as well as more traditional topics on stochastic modelling, techniques and tools..

發(fā)怨言

ineffectual

https://doi.org/10.1007/978-3-531-90887-8best (called AB) combines class aggregation and a binomial approximation to the queue state (which assumes that users behave independently). Over the parameters of greatest relevance, two-thirds of the errors are less than 5%. The largest errors, up to about 30%, occur near the onset of saturation.