- Cloud Computing and Resource Management
- IoT and Edge/Fog Computing
- Augmented Reality Applications
- Software-Defined Networks and 5G
- Interactive and Immersive Displays
- Network Security and Intrusion Detection
- Caching and Content Delivery
- Opportunistic and Delay-Tolerant Networks
- Robotics and Sensor-Based Localization
- Virtual Reality Applications and Impacts
- Mobile Ad Hoc Networks
- Software System Performance and Reliability
- Network Traffic and Congestion Control
- Computer Graphics and Visualization Techniques
- Advanced Vision and Imaging
- Internet Traffic Analysis and Secure E-voting
- Energy Efficient Wireless Sensor Networks
- Distributed systems and fault tolerance
- Context-Aware Activity Recognition Systems
- Network Packet Processing and Optimization
- Peer-to-Peer Network Technologies
- Innovative Human-Technology Interaction
- Wireless Networks and Protocols
- Mobile Agent-Based Network Management
- Advanced Optical Network Technologies
Universidade Federal de Pernambuco
2015-2024
Universidade de Pernambuco
2009-2024
Universidade Federal do Pará
2024
Ericsson (Sweden)
2024
University of Ontario Institute of Technology
2021
University of Arkansas at Little Rock
2017
TH Köln - University of Applied Sciences
2017
Lusíada University of Lisbon
2017
University of Lisbon
2017
Universidade Estadual Paulista (Unesp)
2017
The area of Internet traffic measurement has advanced enormously over the last couple years. This was mostly due to increase in network access speeds, appearance bandwidth-hungry applications, ISPs' increased interest precise user profile information and also a response enormous growth number connected users. These changes greatly affected work service providers administrators, which have deal with increasing resource demands abrupt brought by new applications. survey explains main...
In a cloud computing environment, dynamic resource allocation and reallocation are keys for accommodating unpredictable demands and, ultimately, contribute to investment return. This article discusses this process in the context of distributed clouds, which seen as systems where application developers can selectively lease geographically resources. highlights categorizes main challenges inherent particular offering stepwise view that covers initial modeling phase through optimization phase.
Cloud Computing has been used by different types of clients because it many advantages, including the minimization infrastructure resources costs, and its elasticity property, which allows services to be scaled up or down according current demand. From provider point-of-view, there are challenges overcome in order deliver that meet all requirements defined Service Level Agreements (SLAs). High availability one biggest for providers, can improve a service, such as checkpointing, load...
The Internet of Things has the potential transforming health systems through collection and analysis patient physiological data via wearable devices sensor networks. Such can offer assisted living services in real-time a range multimedia-based services. However, service downtime, particularly case emergencies, lead to adverse outcomes worst case, death. In this paper, we propose an e-health monitoring architecture based on sensors that relies cloud fog infrastructures handle store data....
This work surveys Internet of Things (IoT) experimental research published since 2015. We summarize the IoT state art during last 2 years and extract important data that we apply to enhance analysis solutions. The scenario presents a promising universe analysis. raises number questions: which are its most popular applications? What is definition scale in an application? sensors more often used for what How can researcher compare scenarios? To investigate these concerns, this survey analyzes...
Ad hoc and wireless sensor networks have recently emerged as successful technologies in a number of application domains. The need to build security services into them remains however considerable challenge the hardware used often shows serious processing energy limitations. This work evaluates impact mechanism on nodes network whole. Hence actual measurements were undertaken real platform order accurately establish consumption for various encryption algorithms; well baseline scenario...
With the popularization of cloud computing, several enterprises and open-source communities have developed their own solutions. A number factors weigh on user selection, as each one has peculiar characteristics may target different usage scenarios. Considering such challenge, this paper focuses giving reader an understanding some major existing open computing solutions – XCP, Eucalyptus Open Nebula. Hopefully, a deep comparison can leverage research area providing good starting point to...
IoT devices suffer from resource limitations, such as processor, RAM, and disc storage. These limitations become more evident when handling demanding applications, deep learning, well-known for their heavy computational requirements. A case in point is robot pose estimation, an application that predicts the critical points of desired image object. One way to mitigate processing storage problems compressing learning application. This paper proposes a new CNN estimation while applying...
This paper presents a solution for the photorealistic rendering of synthetic objects into dynamic real scenes, in Augmented Reality applications. In order to achieve this goal, an Image Based Lighting approach is used, where environment maps with different levels glossiness are generated each virtual object scene at every frame. Due this, illumination effects, such as color bleeding and specular reflections, can be simulated consistent way. A unifying sampling method spherical harmonics...
Distributed Clouds, or just D-Clouds, can be seen as a paradigm that is able to exploit the potential of sharing resources across geographic boundaries and provide latency-bound allocation third-party developers. The representation D-Cloud challenge involves careful choice characteristics drive mapping requests on substrate resources. Regarding these problems, this paper introduces Cloud Modeling Language (CloudML), vendor-neutral XML-based language intended integrate description different...
Guaranteeing high levels of availability is a huge challenge for cloud providers. The authors look at the causes failures and recommend ways to prevent them minimize their effects when they occur.
This paper presents the implementation of 3D tracking techniques based on natural features for augmented reality. The contemplated are from model category, comprising recursive and non-recursive methods, as well edge texture techniques. An evaluation implemented trackers was performed regarding performance accuracy under different scenarios.
Cloud computing has gained popularity in recent years due to its pay-as-you-go business model, high availability of services, and scalability. Service unavailability does not affect just user experience but is also translated into direct costs for cloud providers companies. Part this SLA breaches, once interruption time greater than those signed the contract generate financial penalties. Thus, have tried identify failure points estimate their services. This paper proposes models assess...
The Internet of Things has the potential transforming health systems through collection and analysis patient physiological data via wearable devices sensor networks. Such can offer assisted living services in realtime a range multimedia-based services. However, lack service availability, particularly cases emergencies, lead to adverse outcomes worst case, death. In this paper, we propose an e-health monitoring architecture based on sensors cloud fog infrastructure scenarios. Further,...