International audienceStream Processing has become the de facto standard way of supporting real-time data analytics. Stream Processing applications are typically shaped as pipelines of operators, each record of the stream traversing all the operators of the graph. The placement of these operators on nodes of the platform can evolve through time according to different parameters such as the velocity of the input stream and the capacity of nodes. Such an adaptation calls for mechanisms such as dynamic operator scaling and migration. With the advent of Fog Computing, gathering multiple computationally-limited geographically-distributed resources, these mechanisms need to be decentralized, as a central coordinator orchestrating these actions is...
Abstract. Data streaming applications are becoming more and more common due to the rapid development...
Scalability in stream processing systems can be achieved by using a cluster of computing devices. Th...
Abstract. Data streaming applications are becoming more and more common due to the rapid development...
International audienceStream Processing has become the de facto standard way of supporting real-time...
Stream Processing was recently introduced as a paradigm to easily develop and deploy applications ta...
International audienceStream Processing deals with the efficient, real-time processing of continuous...
Stream Processing has become a major programming model to timely handle large volumes of data genera...
The group mutual exclusion (GME) problem deals with sharing a set of (m) mutually exclusive resource...
In today's world, stream processing systems have become important, as applications like media broadc...
More and more use cases require fast, accurate, and reliable processing of large volumes of data. To...
Many emerging distributed applications require the processing of massive amounts of data in real-tim...
Data streaming applications are becoming more and more common due to the rapid development in emergi...
INTRODUCTION. Over the last decade distributed computing systems have attracted a great deal of atte...
Distributed stream processing frameworks are designed to perform continuous computation on possibly ...
This PhD project proposes the theoretical and technological foundations of an approach for decentral...
Abstract. Data streaming applications are becoming more and more common due to the rapid development...
Scalability in stream processing systems can be achieved by using a cluster of computing devices. Th...
Abstract. Data streaming applications are becoming more and more common due to the rapid development...
International audienceStream Processing has become the de facto standard way of supporting real-time...
Stream Processing was recently introduced as a paradigm to easily develop and deploy applications ta...
International audienceStream Processing deals with the efficient, real-time processing of continuous...
Stream Processing has become a major programming model to timely handle large volumes of data genera...
The group mutual exclusion (GME) problem deals with sharing a set of (m) mutually exclusive resource...
In today's world, stream processing systems have become important, as applications like media broadc...
More and more use cases require fast, accurate, and reliable processing of large volumes of data. To...
Many emerging distributed applications require the processing of massive amounts of data in real-tim...
Data streaming applications are becoming more and more common due to the rapid development in emergi...
INTRODUCTION. Over the last decade distributed computing systems have attracted a great deal of atte...
Distributed stream processing frameworks are designed to perform continuous computation on possibly ...
This PhD project proposes the theoretical and technological foundations of an approach for decentral...
Abstract. Data streaming applications are becoming more and more common due to the rapid development...
Scalability in stream processing systems can be achieved by using a cluster of computing devices. Th...
Abstract. Data streaming applications are becoming more and more common due to the rapid development...