On Atomic Batch Executions in Stream Processing
نویسندگان
چکیده
منابع مشابه
Apache FlinkTM: Stream and Batch Processing in a Single Engine
Apache Flink1 is an open-source system for processing streaming and batch data. Flink is built on the philosophy that many classes of data processing applications, including real-time analytics, continuous data pipelines, historic data processing (batch), and iterative algorithms (machine learning, graph analysis) can be expressed and executed as pipelined fault-tolerant dataflows. In this pape...
متن کاملPig Squeal: Bridging Batch and Stream Processing Using Incremental Updates
Title of dissertation: Pig Squeal: Bridging Batch and Stream Processing Using Incremental Updates James Holmes Lampton, Jr., Doctor of Philosophy, 2015 Dissertation directed by: Professor Ashok Agrawala Department of Computer Science As developers shift from batch MapReduce to stream processing for better latency, they are faced with the dilemma of changing tools and maintaining multiple code b...
متن کاملThe Effect of Working Memory Training on Auditory Stream Segregation in Auditory Processing Disorders Children
Objectives: This study investigated the efficacy of working memory training for improving working memory capacity and related auditory stream segregation in auditory processing disorders children. Methods: Fifteen subjects (9-11 years), clinically diagnosed with auditory processing disorder participated in this non-randomized case-controlled trial. Working memory abilities and auditory strea...
متن کاملEfficient Algorithms for Just-In-Time Scheduling on a Batch Processing Machine
Just-in-time scheduling problem on a single batch processing machine is investigated in this research. Batch processing machines can process more than one job simultaneously and are widely used in semi-conductor industries. Due to the requirements of just-in-time strategy, minimization of total earliness and tardiness penalties is considered as the criterion. It is an acceptable criterion for b...
متن کاملStream Processing in Action
The world is now information-driven. Many business and government institutions are fully automated, relying on a variety of sensors and infrastructure to collect, store, and analyze incoming data on a continuous basis. Clearly, the need to monitor and act on information from sensors in the field, to drive rapid decisions, to tweak production processes, to optimize logistics choices, and, ultima...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2016
ISSN: 1877-0509
DOI: 10.1016/j.procs.2016.09.013