Property:Has ExperimentSetup
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A
All experiments were conducted on a desktop PC with AMD Athlon Dual Core Processor 5400B with 2.6GHz and 1GB RAM. +
The tests were performed with the following setup: the mediator (and also the test client) where running on a 2.16 GHz Intel Core 2 Duo with 2 GB memory and a 2 MBit link to the remote endpoints. All endpoints were simulated on the same physical host running two AMD Opteron CPUs at 1.6 GHz and 2 GB memory. +
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We empirically analyze the performance of the proposed query processing techniques and report on the execution time of plans comprised of ANAPSID operators versus queries posed against SPARQL endpoints, and state-of-the-art RDF engines.
Three sets of queries were considered (Table of Figure 5(b)); each sub-query was executed
as a query against its corresponding endpoint. Benchmark 1 is a set of 10 queries against LinkedSensorData-blizzards; each query can be grouped into 4 or 5 sub-queries. Benchmark 2 is a set of 10 queries over linkedCT with 3 or 4 subqueries. Benchmark 3 is a set of 10 queries with 4 or 5 sub-queries executed against linkedCT and DBPedia endpoints.
Experiments were executed on a Linux CentOS machine with an Intel Pentium Core2 Duo 3.0 GHz and 8GB RAM. +
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Endpoint machines are connected to the machine on which the mediator is deployed (2GHz AMD Athlon X2, 2GB RAM) via a 100Mbs Ethernet LAN. +
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Test Avalanche using a five-node cluster. Each machine had 2GB RAM and an Intel Core 2 Duo E8500 @ 3.16GHz +
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On an Intel Core 2, 2.33GHz, with 2GB of memory +
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F
All experiments are carried out on an HP Proliant DL360 G6 with 2GHz
4Core CPU with 128KB L1 Cache, 1024KB L2 Cache, 4096KB L3 Cache, 32GB
1333MHz RAM, and a 160 GB SCSI hard drive.
In all scenarios we assigned 20GB RAM to the process executing the query
In the SPARQL federation we additionally assign 1GB RAM to each individual SPARQL endpoint process. +
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