Search Results - High-Rate Data Stream Processing

Processing high data rate streams in System S by Andrade, H., Gedik, B., Wu, K.-L., Yu, P.S.

“…—from environmental monitoring to algorithmic trading. In this paper, we focus on language and runtime support for improving the performance of sense-and-respond applications in processing data from high-rate live streams…”
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Scale-Up Strategies for Processing High-Rate Data Streams in System S by Andrade, H., Gedik, B., Kun-Lung Wu, Yu, P.S.

“… In this paper, we focus on language and runtime support for improving the performance of sense-and-respond applications in processing data from high rate streams…”
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AuDy: Automatic Dynamic Least-Weight Balancing for Stream Workloads Scalability by Martins, Pedro, Abbasi, Maryam, Furtado, Pedro

“…Previews research works focus in the separation of data processing issues, heavy database queries and stream data processing over high-data-rate (CEP…”
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Using hashing and lexicographic order for Frequent Itemsets Mining on data streams by Bustio-Martínez, Lázaro, Letras-Luna, Martín, Cumplido, René, Hernández-León, Raudel, Feregrino-Uribe, Claudia, Bande-Serrano, José M.

“… Data streams are unbounded and infinite flows of data arriving at high rates which cannot be stored for off-line processing…”
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Processing high data rate streams in System S: Data Intensive Computing by ANDRADE, H, GEDIK, B, WU, K.-L, YU, P. S

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Autopipelining for Data Stream Processing by Yuzhe Tang, Gedik, Bugra

“…Stream processing applications use online analytics to ingest high-rate data sources, process them on-the-fly, and generate live results in a timely manner…”
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On the design of hardware-software architectures for frequent itemsets mining on data streams by Bustio-Martínez, Lázaro, Cumplido, René, Hernández-León, Raudel, Bande-Serrano, José M., Feregrino-Uribe, Claudia

“… Data in data streams are transmitted at high rates and cannot be stored for offline processing making impractical to use traditional data mining approaches…”
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An efficient undifferenced method for estimating multi-GNSS high-rate clock corrections with data streams in real time by Liu, Teng, Zhang, Baocheng, Yuan, Yunbin, Zha, Jiuping, Zhao, Chuanbao

“…). To fully promote the capability of multi-GNSS RTPPP, an efficient method is proposed for the precise estimation of multi-GNSS high-rate satellite clock corrections in real time…”
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Online learning from capricious data streams via shared and new feature spaces by Zhou, Peng, Zhang, Shuai, Mu, Lin, Yan, Yuanting

“…Data streams refer to data sequences generated at a high rate over a continuous period, such as social media analysis, financial transaction monitoring, and sensor data processing…”
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A speed-up method of light RDBMS SQLite for stream processing utilizing multicore CPU configurations by Yamamoto, Moriki

“…Summary The data generated at a very high rate by sensors and RFIDs must be handled by continuous queries that respond in real time…”
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High-rate activated sludge system for carbon management – Evaluation of crucial process mechanisms and design parameters by Jimenez, Jose, Miller, Mark, Bott, Charles, Murthy, Sudhir, De Clippeleir, Haydee, Wett, Bernhard

“…The high-rate activated sludge (HRAS) process is a technology suitable for the removal and redirection of organics from wastewater to energy generating processes in an efficient manner…”
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Language level checkpointing support for stream processing applications by Jacques-Silva, G., Gedik, B., Andrade, H., Kun-Lung Wu

“…Many streaming applications demand continuous processing of live data with little or no downtime, therefore, making high-availability a crucial operational requirement…”
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A distributed B+Tree indexing method for processing range queries over streaming data by Safaee, Shahab, Mirabi, Meghdad, Rahmani, Amir Masoud, Safaei, Ali Asghar

“…A data stream exhibits as a massive unbounded sequence of data elements continuously generated at a high rate…”
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A System for Objectively Measuring Behavior and the Environment to Support Large-Scale Studies on Childhood Obesity by Papapanagiotou, Vasileios, Sarafis, Ioannis, Alagialoglou, Leonidas, Gkolemis, Vasileios, Diou, Christos, Delopoulos, Anastasios

“…Advances in IoT technologies combined with new algorithms have enabled the collection and processing of high-rate multi-source data streams that quantify human behavior in a fine-grained level…”
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High-Rate Continuous Synthesis of Nanocrystalline Perovskites and Metal Oxides in a Colliding Vapor Stream of Microdroplets by Ould-Ely, Teyeb, Kaplan-Reinig, Lyle, Morse, Daniel E.

“…A high‐rate, continuous synthesis of functional nanomaterials using a home engineered reactor is reported…”
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Adaptive Block and Batch Sizing for Batched Stream Processing System by Quan Zhang, Yang Song, Routray, Ramani R., Weisong Shi

“…) treat streaming workloads as a series of batch jobs, instead of a series of records. Batch-based stream processing systems could process data at high rate but lead to large end-to-end latency…”
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Scaling-Up Distributed Processing of Data Streams for Machine Learning by Nokleby, Matthew, Raja, Haroon, Bajwa, Waheed U.

“…) systems, smart grids, and more-involve continuous gathering of and learning from streams of data samples…”
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DynamicCluStream: An algorithm Based on CluStream to Improve Clustering Quality by Sahar Ahsani, Morteza Yousef Sanati, Muharram Mansoorizadeh

“…Data streams are continuous flows of data objects generated at high rates, requiring real-time processing in a single pass…”
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Hierarchical Clustering of Time-Series Data Streams by Rodrigues, P.P., Gama, J., Pedroso, J.P.

“… The Online Divisive-Agglomerative Clustering (ODAC) system continuously maintains a tree-like hierarchy of clusters that evolves with data, using a top-down strategy…”
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High-Rate Monocular Depth Estimation via Cross Frame-Rate Collaboration of Frames and Events by Liu, Xu, Fan, Xiaopeng, Li, Jianing, Li, Dianze, Zhang, Wei, Ma, Zhengyu, Tian, Yonghong

“… by the frame sampling rate. To this end, this paper proposes a novel c ross f rame- r ate frame-event joint learning net work, namely CFRNet , collaborating two heterogeneous streams for high-rate and fine-grained monocular depth estimation…”
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