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Antzela Kosta

dblp:194/2813 · DBLP profile ↗
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6ranked-venue papers
6as first author
1since 2021 · last 2021
0000-0003-4726-9536ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 4 · 4 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
2 papers
Internet of things and sensor networks · 49% Network performance modeling · 47% Network optimization and economics · 3%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
age of information
0.922021
The Age of Information in a Discrete Time Queue: Stationary Distribution and Non-Linear Age Mean Analysis · IEEE J. Sel. Areas Commun. 2021
The Cost of Delay in Status Updates and Their Value: Non-Linear Ageing · IEEE Trans. Commun. 2020
Network performance modeling
queueing analysis
0.922021
The Age of Information in a Discrete Time Queue: Stationary Distribution and Non-Linear Age Mean Analysis · IEEE J. Sel. Areas Commun. 2021
The Cost of Delay in Status Updates and Their Value: Non-Linear Ageing · IEEE Trans. Commun. 2020
Internet of things and sensor networks
status update
0.622021
The Cost of Delay in Status Updates and Their Value: Non-Linear Ageing · IEEE Trans. Commun. 2020
The Age of Information in a Discrete Time Queue: Stationary Distribution and Non-Linear Age Mean Analysis · IEEE J. Sel. Areas Commun. 2021
Network performance modeling › queueing analysis › queueing models of computer systems
discrete-time queue
0.512021
The Age of Information in a Discrete Time Queue: Stationary Distribution and Non-Linear Age Mean Analysis · IEEE J. Sel. Areas Commun. 2021
Internet of things and sensor networks › age of information
peak age of information
0.512021
The Age of Information in a Discrete Time Queue: Stationary Distribution and Non-Linear Age Mean Analysis · IEEE J. Sel. Areas Commun. 2021
Network performance modeling › stochastic analysis
steady-state analysis
0.512021
The Age of Information in a Discrete Time Queue: Stationary Distribution and Non-Linear Age Mean Analysis · IEEE J. Sel. Areas Commun. 2021
Network optimization and economics
resource allocation
0.112020
The Cost of Delay in Status Updates and Their Value: Non-Linear Ageing · IEEE Trans. Commun. 2020

Methods — techniques the papers use, named apart from their topics

queueing theory · 0.5power series · 0.5generating function · 0.5stochastic modeling · 0.4queueing analysis · 0.4
YearPublicationVenuePosition
2021 The Age of Information in a Discrete Time Queue: Stationary Distribution and Non-Linear Age Mean Analysis
abstract
In this work, we investigate information freshness in a status update communication system consisting of a source-destination link. Initially, we study the properties of a sample path of the age of information (AoI) process at the destination. We obtain a general formula of the stationary distribution of the AoI, under the assumption of ergodicity. We relate this result to a discrete time queueing system and provide a general expression of the generating function of AoI in relation with the system time and the peak age of information (PAoI) metric. Furthermore, we consider three different single-server system models and we obtain closed-form expressions of the generating functions and the stationary distributions of the AoI and the PAoI. The first model is a first-come-first-served (FCFS) queue, the second model is a preemptive last-come-first-served (LCFS) queue, and the last model is a bufferless system with packet dropping. We build upon these results to provide a methodology for analyzing general non-linear age functions for this type of systems, using representations of functions as power series.
Antzela Kosta, Nikolaos Pappas 0001, Anthony Ephremides, Vangelis Angelakis
IEEE J. Sel. Areas Commun.1
2020 Non-linear Age of Information in a Discrete Time Queue: Stationary Distribution and Average Performance Analysis
abstract
This paper considers a status update communication system consisting of a source-destination link with timeliness requirements. First, we study the properties of a sample path of the age of information (AoI) process at the destination. Under the assumption of ergodicity, we obtain a general formula of the stationary distribution of the AoI. We relate this result to a discrete time queueing system and provide a general expression of the generating function of AoI in relation with the system time and the peak age of information (PAoI). Furthermore, we consider the first-come-first-served (FCFS) Geo/Geo/1 queue and we obtain closed-form expressions of the generating functions and the stationary distributions of the AoI and the PAoI. We built upon these results to provide a methodology for analyzing general non-linear age functions for this type of systems.
Antzela Kosta, Nikolaos Pappas 0001, Anthony Ephremides, Vangelis Angelakis
ICC1
2020 The Cost of Delay in Status Updates and Their Value: Non-Linear Ageing
abstract
We consider a status update communication system consisting of a source-destination link. A stochastic process is observed at the source, where samples are extracted at random time instances, and delivered to the destination, thus, providing status updates for the source. In this paper, we expand the concept of information ageing by introducing the cost of update delay (CoUD) metric to characterize the cost of having stale information at the destination. The CoUD captures the freshness of the information at the destination and can be used to reflect the information structure of the source. Moreover, we introduce the value of information of update (VoIU) metric that captures the reduction of CoUD upon reception of an update. Using the CoUD, its by-product metric called peak cost of update delay (PCoUD), and the VoIU, we evaluate the performance of an M/M/1 system in various settings that consider exact expressions and bounds. The optimal server utilization policy is to minimize the time average CoUD and maximize the time average VoIU. Our results indicate that the performance of CoUD differs depending on the cost assigned per time unit, however the optimal policy remains the same for linear ageing and varies for non-linear ageing. When it comes to the VoIU the performance difference appears only when the cost increases non-linearly with time. The study illustrates the importance of the newly introduced variants of age, furthermore supported in the case of VoIU by its tractability.
Antzela Kosta, Nikolaos Pappas 0001, Anthony Ephremides, Vangelis Angelakis
IEEE Trans. Commun.1
2019 Queue Management for Age Sensitive Status Updates
abstract
We consider a system consisting of a source-destination communication link. At the transmitter of the source there is a buffer that stores packets containing status information. These randomly generated packets should keep the destination timely updated and they can be discarded to avoid wasting network resources for the transmission of stale information. In this setup, we provide an analysis of the age of information (AoI) and peak age of information (PAoI) performance of the system, with and without packet management at the transmission queue of the source node. The analysis indicates the potential performance gains obtained with the use of packet management.
Antzela Kosta, Nikolaos Pappas 0001, Anthony Ephremides, Vangelis Angelakis
ISIT1
2018 Age of Information and Throughput in a Shared Access Network with Heterogeneous Traffic
abstract
We consider a cognitive shared access scheme consisting of a high priority primary node and a low priority network with N secondary nodes accessing the spectrum. Assuming bursty traffic at the primary node, saturated queues at the secondary nodes, and multipacket reception capabilities at the receivers, we derive analytical expressions of the time average age of information of the primary node and the throughput of the secondary nodes. We formulate two optimization problems, the first aiming to minimize the time average age of information of the primary node subject to an aggregate secondary throughput requirement. The second problem aims to maximize the aggregate secondary throughput of the network subject to a maximum time average staleness constraint. Our results provide guidelines for the design of a multiple access system with multipacket reception capabilities that fulfills both timeliness and throughput requirements.
Antzela Kosta, Nikolaos Pappas 0001, Anthony Ephremides, Vangelis Angelakis
GLOBECOM1
2017 Age and value of information: Non-linear age case
abstract
We consider a real-time status update system consisting of a source-destination network. A stochastic process is observed at the source, and samples, so called status updates, are extracted at random time instances, and delivered to the destination. In this paper, we expand the concept of information ageing by introducing the Cost of Update Delay (CoUD) metric to characterize the cost of having stale information at the destination. We introduce the Value of Information of Update (VoIU) metric that captures the reduction of CoUD upon reception of an update. The importance of the VoIU metric lies on its tractability which enables an alternative performance criterion in status update systems.
Antzela Kosta, Nikolaos Pappas 0001, Anthony Ephremides, Vangelis Angelakis
ISIT1