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Showing 1 to 7 of 7 for “"Apache Storm"”.

  1. New techniques to lower the tail latency in stream processing systems

    … of streaming data has emerged and grown rapidly. Apache Storm, Apache Flink, Samza and many other stream processing frameworks have been proposed and implemented to meet this need. Although lots of effort has been made to reduce the average latency of stream processing systems, how to shorten …

    uiuc Repository record for New techniques to lower the tail latency in stream processing systems (opens in a new tab)

  2. Securing cloud-based data analytics: A practical approach

    … massive amounts of data, tools like MapReduce, Apache Storm, Dryad and higher-level scripting languages like Pig Latin and DryadLINQ have significantly improved corresponding tasks for software developers. The equally important aspect of securing computations performed by these tools and …

    purdue-thes Repository record for Securing cloud-based data analytics: A practical approach (opens in a new tab)

  3. Henge: An intent-driven scheduler for multi-tenant stream processing

    … all jobs in the system. Henge is integrated in Apache Storm and the thesis presents experimental results, using both production topologies and real datasets.

    uiuc Repository record for Henge: An intent-driven scheduler for multi-tenant stream processing (opens in a new tab)

  4. Stela: on-demand elasticity in distributed data stream processing systems

    … have integrated the implementation of Stela into Apache Storm [27], a popular data stream processing system. We conducted experiments on Stela using a set of micro benchmark topologies as well as two topologies from Yahoo! Inc. Our experiment results shows Stela achieves 5% to 120% higher post …

    uiuc Repository record for Stela: on-demand elasticity in distributed data stream processing systems (opens in a new tab)

  5. Adaptive batching of streams to enhance throughput and to support dynamic load balancing

    As data permeates all disciplines, the role of big data becomes increasingly important. Sensors, IoT devices, social networks, and online transactions are all generating data that can be monitored constantly to enable a business to identify opportunity to enhance customer service and increase …

    uiuc Repository record for Adaptive batching of streams to enhance throughput and to support dynamic load balancing (opens in a new tab)

  6. Satisfying service level objectives in stream processing systems

    … to prevent SLO misses. Henge is built atop Apache Storm, while Meezan and Caladrius are integrated with Apache Heron.

    uiuc Repository record for Satisfying service level objectives in stream processing systems (opens in a new tab)

  7. Empirical Evaluation of Edge Computing for Smart Building Streaming IoT Applications

    Smart buildings are one of the most important emerging applications of Internet of Things (IoT). The astronomical growth in IoT devices, data generated from these devices and ubiquitous connectivity have given rise to a new computing paradigm, referred to as "Edge computing", which argues for data …

    vt Repository record for Empirical Evaluation of Edge Computing for Smart Building Streaming IoT Applications (opens in a new tab)