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2024-04-01T17:02:42Z
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2024-04-01T17:00:18Z
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2024-04-01T17:00:18Z
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2024-04-01T17:00:18Z
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update: {"given_name"=>["Ravishankar", "Ravishankar K."]}
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2022-11-13T03:02:54Z
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2020-10-27T21:14:00Z
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update: {"link"=>["https://github.com/James-QiuHaoran/firm", "https://gitlab.engr.illinois.edu/DEPEND/firm"]}
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2020-10-27T21:14:00Z
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create: {"material_type"=>"Article", "availability"=>nil, "link"=>"https://www.usenix.org/conference/osdi20/presentation/qiu", "uri"=>nil, "uri_type"=>nil, "citation"=>"Haoran Qiu, Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer. \"FIRM: An Intelligent Fine-grained Resource Management Framework for SLO-oriented Microservices\". The 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20)", "dataset_id"=>1445, "selected_type"=>"Article", "datacite_list"=>nil}
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2020-10-20T17:26:15Z
|
|
Dataset
|
update: {"description"=>["We are releasing the tracing dataset of four microservice benchmarks deployed on our dedicated Kubernetes cluster consisting of 15 heterogeneous nodes. The dataset is not sampled and is from selected types of requests in each benchmark, i.e., compose-posts in the social network application, compose-reviews in the media service application, book-rooms in the hotel reservation application, and reserve-tickets in the train ticket booking application.\r\n\r\nThe four microservice applications come from [DeathStarBench](https://github.com/delimitrou/DeathStarBench) and [Train-Ticket](https://github.com/FudanSELab/train-ticket). The performance anomaly injector is from [FIRM](https://github.com/James-QiuHaoran/firm).\r\n\r\nThe dataset was preprocessed from the raw data generated in FIRM's tracing system. The dataset is separated by on which microservice component is the performance anomaly located (as the file name suggests). Each dataset is in CSV format and fields are separated by commas. Each line consists of the tracing ID and the duration (in 10^(-3) ms) of each component. Execution paths are specified in `execution_paths.txt` in each directory.\r\n", "We are releasing the tracing dataset of four microservice benchmarks deployed on our dedicated Kubernetes cluster consisting of 15 heterogeneous nodes. The dataset is not sampled and is from selected types of requests in each benchmark, i.e., compose-posts in the social network application, compose-reviews in the media service application, book-rooms in the hotel reservation application, and reserve-tickets in the train ticket booking application.\r\n\r\nThe four microservice applications come from [DeathStarBench](https://github.com/delimitrou/DeathStarBench) and [Train-Ticket](https://github.com/FudanSELab/train-ticket). The performance anomaly injector is from [FIRM](https://gitlab.engr.illinois.edu/DEPEND/firm.git).\r\n\r\nThe dataset was preprocessed from the raw data generated in FIRM's tracing system. The dataset is separated by on which microservice component is the performance anomaly located (as the file name suggests). Each dataset is in CSV format and fields are separated by commas. Each line consists of the tracing ID and the duration (in 10^(-3) ms) of each component. Execution paths are specified in `execution_paths.txt` in each directory.\r\n"]}
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2020-10-20T17:26:15Z
|
|
Creator
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create: {"family_name"=>"Iyer", "given_name"=>"Ravishankar", "identifier"=>"0000-0003-2245-3038", "email"=>"rkiyer@illinois.edu", "is_contact"=>false, "row_position"=>5}
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2020-08-22T19:28:31Z
|
|
Creator
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create: {"family_name"=>"Kalbarczyk", "given_name"=>"Zbigniew T.", "identifier"=>"", "email"=>"kalbarcz@illinois.edu", "is_contact"=>false, "row_position"=>4}
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2020-08-22T19:28:31Z
|
|
Creator
|
create: {"family_name"=>"Jha", "given_name"=>"Saurabh", "identifier"=>"0000-0003-0926-0776", "email"=>"sjha8@illinois.edu", "is_contact"=>false, "row_position"=>3}
|
2020-08-22T19:28:31Z
|
|
Creator
|
create: {"family_name"=>"Banerjee", "given_name"=>"Subho S.", "identifier"=>"0000-0001-7187-6569", "email"=>"ssbaner2@illinois.edu", "is_contact"=>false, "row_position"=>2}
|
2020-08-22T19:28:31Z
|
|
Dataset
|
update: {"description"=>["We are releasing the tracing dataset of four microservice benchmarks deployed on our dedicated Kubernetes cluster consisting of 15 heterogeneous nodes. The dataset is from selected types of requests in each benchmark, i.e., compose-posts in the social network application, compose-reviews in the media service application, book-rooms in the hotel reservation application, and reserve-tickets in the train ticket booking application.\r\n\r\nThe four microservice applications come from [DeathStarBench](https://github.com/delimitrou/DeathStarBench) and [Train-Ticket](https://github.com/FudanSELab/train-ticket). The performance anomaly injector is from [FIRM](https://github.com/James-QiuHaoran/firm).\r\n\r\nThe dataset was preprocessed from the raw data generated in FIRM's tracing system. The dataset is separated by on which microservice component is the performance anomaly located (as the file name suggests). Each dataset is in CSV format and fields are separated by commas. Each line consists of the tracing ID and the duration (in 10^(-3) ms) of each component. Execution paths are specified in `execution_paths.txt` in each directory.\r\n", "We are releasing the tracing dataset of four microservice benchmarks deployed on our dedicated Kubernetes cluster consisting of 15 heterogeneous nodes. The dataset is not sampled and is from selected types of requests in each benchmark, i.e., compose-posts in the social network application, compose-reviews in the media service application, book-rooms in the hotel reservation application, and reserve-tickets in the train ticket booking application.\r\n\r\nThe four microservice applications come from [DeathStarBench](https://github.com/delimitrou/DeathStarBench) and [Train-Ticket](https://github.com/FudanSELab/train-ticket). The performance anomaly injector is from [FIRM](https://github.com/James-QiuHaoran/firm).\r\n\r\nThe dataset was preprocessed from the raw data generated in FIRM's tracing system. The dataset is separated by on which microservice component is the performance anomaly located (as the file name suggests). Each dataset is in CSV format and fields are separated by commas. Each line consists of the tracing ID and the duration (in 10^(-3) ms) of each component. Execution paths are specified in `execution_paths.txt` in each directory.\r\n"]}
|
2020-08-22T19:28:31Z
|
