Abstract: ScyPer is an abbreviation for Scaled-out HyPer, a version of the HyPer main memory hybrid OLTP&OLAP database system that horizontally scales out on shared-nothing commodity hardware. Our demo shows that ScyPer a) achieves a near-linear scale-out of OLAP query throughput with the number of active nodes, b) sustains a constant OLTP throughput, c) is resilient to node failures, and d) offers real-time analytical capabilities through market-leading query response times and periodically forked TX-consistent virtual memory snapshots with sub-second lifetime durations.
htmlabstractThis work aims at reducing the main-memory footprint in high performance hybrid OLTP & O...
This work aims at reducing the main-memory footprint in high performance hybrid OLTP&OLAP databases,...
We present an overview of our work on the SAP HANA Scale-out Extension, a novel distributed database...
Ever increasing main memory sizes and the advent of multi-core parallel processing have fostered the...
Ever increasing main memory sizes and the advent of multi-core parallel processing have fostered the...
Ever increasing main memory capacities and processors with multiple cores have fostered the developm...
Growing main memory sizes have facilitated database man-agement systems that keep the entire databas...
Shipments of smartphones and tablets with wimpy CPUs are outpacing brawny PC and server shipments by...
Over the past thirty years since the system R and Ingres projects started to lay the foundation for ...
We present an overview of our work on the SAP HANA Scale-out Extension, a novel distributed database...
BigData revolutionised the IT industry. It first interested the OLTP systems. Distributed Hash Table...
BigData revolutionised the IT industry. It first interested the OLTP systems. Distributed Hash Table...
This paper presents VelocityOLAP (VOLAP), a distributed real-time OLAP system for high velocity data...
In this article, we present the design and implementation of SISYPHUS, a storage manager for data cu...
OLAP (Online Analytical Processing) systems play an important role in many industries today. By aggr...
htmlabstractThis work aims at reducing the main-memory footprint in high performance hybrid OLTP & O...
This work aims at reducing the main-memory footprint in high performance hybrid OLTP&OLAP databases,...
We present an overview of our work on the SAP HANA Scale-out Extension, a novel distributed database...
Ever increasing main memory sizes and the advent of multi-core parallel processing have fostered the...
Ever increasing main memory sizes and the advent of multi-core parallel processing have fostered the...
Ever increasing main memory capacities and processors with multiple cores have fostered the developm...
Growing main memory sizes have facilitated database man-agement systems that keep the entire databas...
Shipments of smartphones and tablets with wimpy CPUs are outpacing brawny PC and server shipments by...
Over the past thirty years since the system R and Ingres projects started to lay the foundation for ...
We present an overview of our work on the SAP HANA Scale-out Extension, a novel distributed database...
BigData revolutionised the IT industry. It first interested the OLTP systems. Distributed Hash Table...
BigData revolutionised the IT industry. It first interested the OLTP systems. Distributed Hash Table...
This paper presents VelocityOLAP (VOLAP), a distributed real-time OLAP system for high velocity data...
In this article, we present the design and implementation of SISYPHUS, a storage manager for data cu...
OLAP (Online Analytical Processing) systems play an important role in many industries today. By aggr...
htmlabstractThis work aims at reducing the main-memory footprint in high performance hybrid OLTP & O...
This work aims at reducing the main-memory footprint in high performance hybrid OLTP&OLAP databases,...
We present an overview of our work on the SAP HANA Scale-out Extension, a novel distributed database...