From beacacc9f45b5652b015cfa4020c8fe56ed368bd Mon Sep 17 00:00:00 2001 From: Ostrzyciel Date: Thu, 30 May 2024 13:45:43 +0200 Subject: [PATCH] Clean up the docs for the 2.0.0 release Issue: https://github.com/RiverBench/RiverBench/issues/67 --- tasks/stream-compression/index.md | 3 +-- tasks/stream-deserialization-throughput/index.md | 3 +-- tasks/stream-latency-end-to-end/index.md | 3 +-- tasks/stream-serialization-throughput/index.md | 3 +-- tasks/stream-throughput-end-to-end/index.md | 3 +-- 5 files changed, 5 insertions(+), 10 deletions(-) diff --git a/tasks/stream-compression/index.md b/tasks/stream-compression/index.md index 5bb52d5..24bba62 100644 --- a/tasks/stream-compression/index.md +++ b/tasks/stream-compression/index.md @@ -25,8 +25,7 @@ There are no results with RiverBench available for this task yet. ## Examples and references - In the paper about the Jelly streaming protocol, such a benchmark is performed in Section IV.C. The authors have measured the output size of several methods. The presented "Compression ratio" metric there refers to the ratio between the compressed data size and the reference data size, with N-Triples used as the reference. - - Sowiński, P., Wasielewska-Michniewska, K., Ganzha, M., & Paprzycki, M. (2022, October). Efficient RDF streaming for the edge-cloud continuum. In 2022 IEEE 8th World Forum on Internet of Things (WF-IoT) (pp. 1-8). IEEE. - - https://doi.org/10.1109/WF-IoT54382.2022.10152225 + - Sowiński, P., Wasielewska-Michniewska, K., Ganzha, M., & Paprzycki, M. (2022, October). Efficient RDF streaming for the edge-cloud continuum. In 2022 IEEE 8th World Forum on Internet of Things (WF-IoT) (pp. 1-8). IEEE. [https://doi.org/10.1109/WF-IoT54382.2022.10152225](https://doi.org/10.1109/WF-IoT54382.2022.10152225) ## See also diff --git a/tasks/stream-deserialization-throughput/index.md b/tasks/stream-deserialization-throughput/index.md index c76d2e4..18ea52b 100644 --- a/tasks/stream-deserialization-throughput/index.md +++ b/tasks/stream-deserialization-throughput/index.md @@ -27,8 +27,7 @@ There are no results with RiverBench available for this task yet. ## Examples and references - In the paper about the Jelly streaming protocol, such a benchmark is performed in Section IV.B. The corresponding task in the paper is named "Raw deserialization throughput" and the performance in measured in terms of the number of triples deserialized per second. - - Sowiński, P., Wasielewska-Michniewska, K., Ganzha, M., & Paprzycki, M. (2022, October). Efficient RDF streaming for the edge-cloud continuum. In 2022 IEEE 8th World Forum on Internet of Things (WF-IoT) (pp. 1-8). IEEE. - - https://doi.org/10.1109/WF-IoT54382.2022.10152225 + - Sowiński, P., Wasielewska-Michniewska, K., Ganzha, M., & Paprzycki, M. (2022, October). Efficient RDF streaming for the edge-cloud continuum. In 2022 IEEE 8th World Forum on Internet of Things (WF-IoT) (pp. 1-8). IEEE. [https://doi.org/10.1109/WF-IoT54382.2022.10152225](https://doi.org/10.1109/WF-IoT54382.2022.10152225) ## See also diff --git a/tasks/stream-latency-end-to-end/index.md b/tasks/stream-latency-end-to-end/index.md index d328814..6516d7a 100644 --- a/tasks/stream-latency-end-to-end/index.md +++ b/tasks/stream-latency-end-to-end/index.md @@ -46,8 +46,7 @@ There are no results with RiverBench available for this task yet. ## Examples and references - In the paper about the Jelly streaming protocol, such a benchmark is performed in Section IV.E. The authors have measured the end-to-end latency of several methods (over Kafka and gRPC) in terms of the number of triples transmitted per second. In the experiment, both the producer and the consumer were running on the same physical machine (in the same Java Virtual Machine) and various network conditions were simulated using the NetEm Linux kernel module. The latency measurement was done using the machine's monotonic clock. - - Sowiński, P., Wasielewska-Michniewska, K., Ganzha, M., & Paprzycki, M. (2022, October). Efficient RDF streaming for the edge-cloud continuum. In 2022 IEEE 8th World Forum on Internet of Things (WF-IoT) (pp. 1-8). IEEE. - - https://doi.org/10.1109/WF-IoT54382.2022.10152225 + - Sowiński, P., Wasielewska-Michniewska, K., Ganzha, M., & Paprzycki, M. (2022, October). Efficient RDF streaming for the edge-cloud continuum. In 2022 IEEE 8th World Forum on Internet of Things (WF-IoT) (pp. 1-8). IEEE. [https://doi.org/10.1109/WF-IoT54382.2022.10152225](https://doi.org/10.1109/WF-IoT54382.2022.10152225) ## See also diff --git a/tasks/stream-serialization-throughput/index.md b/tasks/stream-serialization-throughput/index.md index 29ecfdb..a2d31d0 100644 --- a/tasks/stream-serialization-throughput/index.md +++ b/tasks/stream-serialization-throughput/index.md @@ -28,8 +28,7 @@ There are no results with RiverBench available for this task yet. ## Examples and references - In the paper about the Jelly streaming protocol, such a benchmark is performed in Section IV.B. The corresponding task in the paper is named "Raw serialization throughput" and the performance in measured in terms of the number of triples serialized per second. - - Sowiński, P., Wasielewska-Michniewska, K., Ganzha, M., & Paprzycki, M. (2022, October). Efficient RDF streaming for the edge-cloud continuum. In 2022 IEEE 8th World Forum on Internet of Things (WF-IoT) (pp. 1-8). IEEE. - - https://doi.org/10.1109/WF-IoT54382.2022.10152225 + - Sowiński, P., Wasielewska-Michniewska, K., Ganzha, M., & Paprzycki, M. (2022, October). Efficient RDF streaming for the edge-cloud continuum. In 2022 IEEE 8th World Forum on Internet of Things (WF-IoT) (pp. 1-8). IEEE. [https://doi.org/10.1109/WF-IoT54382.2022.10152225](https://doi.org/10.1109/WF-IoT54382.2022.10152225) ## See also diff --git a/tasks/stream-throughput-end-to-end/index.md b/tasks/stream-throughput-end-to-end/index.md index ced1610..789aa1f 100644 --- a/tasks/stream-throughput-end-to-end/index.md +++ b/tasks/stream-throughput-end-to-end/index.md @@ -37,8 +37,7 @@ There are no results with RiverBench available for this task yet. ## Examples and references - In the paper about the Jelly streaming protocol, such a benchmark is performed in Section IV.D. The authors have measured the end-to-end throughput of several methods (over Kafka and gRPC) in terms of the number of triples transmitted per second. In the experiment, both the producer and the consumer were running on the same physical machine and various network conditions were simulated using the NetEm Linux kernel module. - - Sowiński, P., Wasielewska-Michniewska, K., Ganzha, M., & Paprzycki, M. (2022, October). Efficient RDF streaming for the edge-cloud continuum. In 2022 IEEE 8th World Forum on Internet of Things (WF-IoT) (pp. 1-8). IEEE. - - https://doi.org/10.1109/WF-IoT54382.2022.10152225 + - Sowiński, P., Wasielewska-Michniewska, K., Ganzha, M., & Paprzycki, M. (2022, October). Efficient RDF streaming for the edge-cloud continuum. In 2022 IEEE 8th World Forum on Internet of Things (WF-IoT) (pp. 1-8). IEEE. [https://doi.org/10.1109/WF-IoT54382.2022.10152225](https://doi.org/10.1109/WF-IoT54382.2022.10152225) ## See also