Titlebook: Computer Performance Engineering; 13th European Worksh Dieter Fiems,Marco Paolieri,Agapios N. Platis Conference proceedings 2016 Springer I

Intruder

先兆

Analytic Solution of Fair Share Scheduling in Layered Queueing Networksique for distributed systems. Therefore, being able to evaluate performance of systems using fair share scheduling is essential. However, Fair share scheduling in a LQN model could only be solved using simulation previously. A main concern of simulation is long execution times. This paper uses a met

Atrium

outset

A Stochastic Model-Based Approach to Online Event Prediction and Response Schedulingvable discrete events. This model can serve various objectives including: diagnosis of the current state; prediction of its evolution over time; scheduling of response actions. We propose a technique that supports online scheduling of actions based on a prediction of the model state evolution: the m

cauda-equina

Finding Steady States of Communicating Markov Processes Combining Aggregation/Disaggregation with Te severely impairs the use of standard methods for the numerical analysis of such Markov chains. In this work, we develop algorithms for the approximation of steady states of structured Markov chains that consider tensor train decompositions, combined with well-established techniques for this problem