A5103265332- IoT and Edge/Fog Computing
- Cloud Computing and Resource Management
- Distributed and Parallel Computing Systems
- Context-Aware Activity Recognition Systems
- Blockchain Technology Applications and Security
- Big Data and Business Intelligence
- Distributed systems and fault tolerance
- Mobile Agent-Based Network Management
- Software System Performance and Reliability
- Service-Oriented Architecture and Web Services
- Caching and Content Delivery
- IoT Networks and Protocols
Université de Rennes
2020-2022
Centre National de la Recherche Scientifique
2020-2022
Institut de Recherche en Informatique et Systèmes Aléatoires
2020-2022
Universidade Federal do Rio Grande do Sul
2018-2020
Fog computing was designed to support the specific needs of latency-critical applications such as augmented reality, and IoT which produce massive volumes data that are impractical send faraway cloud centers for analysis. However this also created new opportunities a wider range in turn impose their own requirements on future fog platforms. This article presents study representative set 30 general-purpose platform should support.
Container technology has become a very popular choice for easing and managing the deployment of cloud applications services. orchestration systems such as Kubernetes can automate to large extent deployment, scaling, operations containers across clusters nodes, reducing human errors saving cost time. Designed with "traditional" environments in mind (i.e., datacenters close-by machines connected by high-speed networks), like present some limitations geo-distributed where computational...
Container migration is an essential functionality in large-scale geo-distributed platforms such as fog computing infrastructures. Contrary to within a single data center, long-distance requires that the container's disk state should be migrated together with container itself. However, this may arbitrarily large, so its transfer create long periods of unavailability for container. We propose exploit layered structure provided by OverlayFS file system transparently snapshot volumes' contents...
The rapid growth of stream applications in financial markets, health care, education, social media, and sensor networks represents a remarkable milestone for data processing analytic recent years, leading to new challenges handle Big Data real-time. Traditionally, single cloud infrastructure often holds the deployment Stream Processing because it has extensive adaptative virtual computing resources. Hence, sources send from distant different locations infrastructure, increasing application...
Big Data applications are present in many areas such as financial markets, search engines, stream services, health care, social networks, and so on. analysis provides value to information for organizations. Classical Cloud Computing represents a robust architecture perform complex large-scale computing these areas. The main challenges the user's unknowledge about infrastructure, requirement needed improving performance, resource management maintain stable processing. In difficulties, an...
A huge volume of data is produced every day by social networks (e.g. Facebook, Instagram, Whatsapp, etc.), sensors, mobile devices and other applications. Although the Cloud computing scenario has grown rapidly in recent years, it still suffers from a lack kind standardization that involves resource management for Big Data applications, such as case MapReduce. In this context, users face big challenge attempting to understand requirements application how consolidate resources properly. This...
Stream Processing Engines (SPEs) have to support high data ingestion ensure the quality and efficiency for end-user or a system administrator. The flow processed by SPE fluctuates over time, requires real-time near resource pool adjustments (network, memory, CPU other). This scenario leads problem known as skewed production caused non-uniform incoming at specific points on environment, resulting in slow down of applications network bottlenecks inefficient load balance. work proposes Aten...