P
Paulo F. Pires
Researcher at Federal Fluminense University
Publications - 173
Citations - 2863
Paulo F. Pires is an academic researcher from Federal Fluminense University. The author has contributed to research in topics: Wireless sensor network & Middleware (distributed applications). The author has an hindex of 28, co-authored 169 publications receiving 2452 citations. Previous affiliations of Paulo F. Pires include Federal University of Rio Grande do Norte & EMC Corporation.
Papers
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Journal ArticleDOI
On the interplay of Internet of Things and Cloud Computing
Everton Cavalcante,Jorge Pereira,Marcelo Pitanga Alves,Pedro Maia,Roniceli Moura,Thais Batista,Flavia C. Delicato,Paulo F. Pires +7 more
TL;DR: The main outcomes of the performed systematic mapping are confirmed the increasing interest on the integration of IoT and Cloud Computing by both presenting an overview of the state of the art on the investigated topic and shedding light on important challenges and potential directions to future research.
Journal ArticleDOI
System modelling and performance evaluation of a three-tier Cloud of Things
Wei Li,Igor Leão dos Santos,Flavia C. Delicato,Paulo F. Pires,Luci Pirmez,Wei Wei,Houbing Song,Albert Y. Zomaya,Samee U. Khan +8 more
TL;DR: A three-tier system architecture is proposed and mathematically characterize each tier in terms of energy consumption and latency so that the transmission latency and bandwidth burden caused by cloud computing can be effectively reduced.
Book ChapterDOI
Building Reliable Web Services Compositions
TL;DR: This paper presents a framework for building reliable Web service compositions on top of heterogeneous and autonomous Web services, and criticizes the current models and solutions for this task.
Journal ArticleDOI
Efficient allocation of resources in multiple heterogeneous Wireless Sensor Networks
Wei Li,Flavia C. Delicato,Paulo F. Pires,Young Choon Lee,Albert Y. Zomaya,Claudio Miceli,Luci Pirmez +6 more
TL;DR: It is argued that a middleware platform is required to manage heterogeneous WSNs and efficiently share their resources while satisfying user needs in the emergent scenarios of WoT.
Journal ArticleDOI
Adaptive Energy-Aware Computation Offloading for Cloud of Things Systems
TL;DR: An online algorithm, Lyapunov optimization on time and energy cost (LOTEC), based on the technique of Lyap unov optimization is described, which is able to make control decision on application offloading by adjusting the two-way tradeoff between average response time and average cost.