Gunnar Mathiason

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To achieve better scalability in a fully replicated distributed main-memory database, we propose support for virtual full replication. Full replication is often necessary for availability and predictability in critical embedded applications. In the fully replicated database, however, all updates are sent to all nodes, regardless of whether the data is ever(More)
We propose virtual full replication by adaptive segmentation (ViFuR-A), and evaluate its ability to maintain scalability in a replicated real-time database. With full replication and eventual consistency, transaction timeliness becomes independent of network delays for all transactions. However, full replication does not scale well, since all updates must(More)
We implement Virtual full replication for a distributed real-time database by segmenting the database on multiple data properties. Virtual full replication provides an image to the application of full replication in a partially replicated database, by replicating data to meet the actual data needs of the users of the data. This is useful since fully(More)
Sensor networks have limited resources and often support large-scale applications that need scalable propagation of sensor data to users. We propose a white-board style of communication in sensor networks using a distributed real-time database supporting Virtual Full Replication with Adaptive Segmentation. This allows mobile client nodes to access,(More)
Bandwidth reservation for real-time networks offers an approach for real-time networking in an Ethernet or IP setting. Reservation of bandwidth must be agreed between receivers and senders in such a network and send rates be limited accordingly, to avoid collisions and over-allocation of bandwidth. The work in this paper aims at avoiding problems with a(More)
We use a simulation approach to evaluate large scale resource usage in a distributed real-time database. Scalability is often limited by that resource usage is higher than what is added to the system when a system is scaled up. Our approach of Virtual Full Replication (VFR) makes resource usage scalable, which allows large scale real-time databases. In this(More)
We propose to use a distributed real-time database with Virtual Full Replication by Adaptive Segmentation, for whiteboard communication in a sensor network with mobile sink nodes. Sensor networks are large scale applications with limited resources, so they need scalable propagation of sensor data, both to the users inside the network and to the network(More)
To achieve better scalability in a fully replicated distributed main-memory database, we propose support for virtual full replication [6]. Full replication is often used to improve availability and predictability in distributed real-time applications. In a fully replicated database all updates are sent to all nodes regardless of where the data is going to(More)
Smart Cities have emerged as a global concept that argues for the effective exploitation of digital technologies to drive sustainable innovation and well-being for citizens. Despite the large investments being placed on Smart City infrastructure, however, there is still very scarce attention on the new learning approaches that will be needed for cultivating(More)