Age and Value of Information Optimization for Systems with Multi-Class Updates

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Arafa, Ahmed, Yates, Roy D.
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866917755440070656
author Arafa, Ahmed
Yates, Roy D.
author_facet Arafa, Ahmed
Yates, Roy D.
contents Received samples of a stochastic process are processed by a server for delivery as updates to a monitor. Each sample belongs to a class that specifies a distribution for its processing time and a function that describes how the value of the processed update decays with age at the monitor. The class of a sample is identified when the processed update is delivered. The server implements a form of M/G/1/1 blocking queue; samples arriving at a busy server are discarded and samples arriving at an idle server are subject to an admission policy that depends on the age and class of the prior delivered update. For the delivered updates, we characterize the average age of information (AoI) and average value of information (VoI). We derive the optimal stationary policy that minimizes the convex combination of the AoI and (negative) VoI. It is shown that the policy has a threshold structure, in which a new sample is allowed to arrive to the server only if the previous update's age and value difference surpasses a certain threshold that depends on the specifics of the value function and system statistics.
format Preprint
id arxiv_https___arxiv_org_abs_2408_12589
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Age and Value of Information Optimization for Systems with Multi-Class Updates
Arafa, Ahmed
Yates, Roy D.
Information Theory
Networking and Internet Architecture
Signal Processing
Received samples of a stochastic process are processed by a server for delivery as updates to a monitor. Each sample belongs to a class that specifies a distribution for its processing time and a function that describes how the value of the processed update decays with age at the monitor. The class of a sample is identified when the processed update is delivered. The server implements a form of M/G/1/1 blocking queue; samples arriving at a busy server are discarded and samples arriving at an idle server are subject to an admission policy that depends on the age and class of the prior delivered update. For the delivered updates, we characterize the average age of information (AoI) and average value of information (VoI). We derive the optimal stationary policy that minimizes the convex combination of the AoI and (negative) VoI. It is shown that the policy has a threshold structure, in which a new sample is allowed to arrive to the server only if the previous update's age and value difference surpasses a certain threshold that depends on the specifics of the value function and system statistics.
title Age and Value of Information Optimization for Systems with Multi-Class Updates
topic Information Theory
Networking and Internet Architecture
Signal Processing
url https://arxiv.org/abs/2408.12589