TY - GEN
T1 - QoS-aware resource allocation for mobile IoT Pub/Sub systems
AU - Gomes, Raphael
AU - Bouloukakis, Georgios
AU - Costa, Fábio
AU - Georgantas, Nikolaos
AU - da Rocha, Ricardo
N1 - Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - IoT applications are usually characterized by large-scale demand and the widespread use of mobile devices. Similarly, performing interaction among application and system components in a decoupled and elastic way, and enforcing Quality of Service (QoS) usually also become issues. Hence, paradigms such as pub/sub on top of cloud resources represent a suitable strategy for application development. However, management of QoS-aware resource allocation for pub/sub systems remains challenging, especially when system peers connect in an intermittent way. In this paper, we propose a new approach for resource allocation focusing on end-to-end performance in face of peers’ disconnections. We evaluate and demonstrate the benefits of our approach using simulations. QoS enforcement was achieved in almost all scenarios, and we have shown that our approach can help reasoning about efficient resource allocation.
AB - IoT applications are usually characterized by large-scale demand and the widespread use of mobile devices. Similarly, performing interaction among application and system components in a decoupled and elastic way, and enforcing Quality of Service (QoS) usually also become issues. Hence, paradigms such as pub/sub on top of cloud resources represent a suitable strategy for application development. However, management of QoS-aware resource allocation for pub/sub systems remains challenging, especially when system peers connect in an intermittent way. In this paper, we propose a new approach for resource allocation focusing on end-to-end performance in face of peers’ disconnections. We evaluate and demonstrate the benefits of our approach using simulations. QoS enforcement was achieved in almost all scenarios, and we have shown that our approach can help reasoning about efficient resource allocation.
KW - Mobile connectivity
KW - Publish/Subscribe middleware
KW - Quality of service
KW - Resource allocation
UR - https://www.scopus.com/pages/publications/85049045479
U2 - 10.1007/978-3-319-94370-1_6
DO - 10.1007/978-3-319-94370-1_6
M3 - Conference contribution
AN - SCOPUS:85049045479
SN - 9783319943695
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 70
EP - 87
BT - Internet of Things – ICIOT 2018 - 3rd International Conference, Held as Part of the Services Conference Federation, SCF 2018, Proceedings
A2 - Georgakopoulos, Dimitrios
A2 - Zhang, Liang-Jie
PB - Springer Verlag
T2 - 3rd International Conference on Internet of Things, ICIOT 2018 Held as Part of the Services Conference Federation, SCF 2018
Y2 - 25 June 2018 through 30 June 2018
ER -