Stochastic Processes

By R. Gallager. 2014

370 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Software

View Paper: https://www.semanticscholar.org/paper/f7d797e501cfa4b72faab6aa0b7b6639d30f2cbf

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In Computer Networks and Communications

In Software

Citations in the corpus

Efficient Redundancy Techniques for Latency Reduction in Cloud Systems (2015, methodology): “The expected latency of an M/G/1 queue is given by the Pollaczek-Khinchine formula (see Chapter 5 of Gallager [2013]), and it reduces to the upper bound in (16).”
Age of Information: An Introduction and Survey (2020, background): “1 submits fresh updates as a renewal point process, the AoI Δ1(t) is simply the age (also known as the backwards excess) [16], [17] of the renewal process.”
Stochastic resetting and applications (2019, background): “s that hTri= 1 2 hT2 ri hTri (5.21) which may be interpreted as follows. At the optimal resetting rate the mean time to completion (from the initial condition) is equal to the mean residual life time [110] which is the mean time to completion of the process without resetting from a randomly chosen t”
Stochastic renewal process models for estimation of damage cost over the life-cycle of a structure (2017, background): “8) is a standard result for the mean of a compound renewal process ([22]).”
Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques (2018, background): “Random ﬁeld: An inﬁnite collection of random variables which are indexed in time or space and share a common probability model [69].”
Scheduling Policies for Minimizing Age of Information in Broadcast Wireless Networks (2018, methodology): “Therefore, using the generalization of the elementary renewal theorem for renewal-reward processes [39, Sec.”
Censored and Fair Universal Representations using Generative Adversarial Models (2019, methodology): “Following similar analysis in Gallager [2013], we can show that the adversary’s probability of detection is given by”
Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider (2020, background): “Human-generated invocations should approximately follow a Poisson arrival process, with an exponential (memoryless) distribution of IATs [16].”
Foundations of Signal Processing (2014, background): “The subtlety of continuous-time white noise is discussed in the stochastic process book of Gallager [32].”