Concepts for a Replay Mechanism Sample Clauses

Concepts for a Replay Mechanism. ‌ The replay mechanism offers the possibility to replay older result-streams on demand. It is triggered in an interactive way enabling the application user to specify the parameters of the replay such as granularity and time frame, while not interrupting the real-time pro- cessing pipelines. The processing should be transparent to users as if they are still in the same pipeline. The ability of combining online and offline result delivery is critical to decision making in financial analysis and for a deeper understanding of current situations. The replay mechanism imposes some challenges due to the difference in the processing models of stream and batch data. The major functionality of Storm as well as of other stream processing frameworks (Spark Streaming1, Samza2) is to facilitate the ingestion of events in a real-time or near real-time manner. To do so, these frameworks are optimized for high-throughput processing, and tolerate relaxed accurateness guarantees3. The data 1▇▇▇▇://▇▇▇▇▇.▇▇▇▇▇▇.▇▇▇/streaming/ 2▇▇▇▇://▇▇▇▇▇.▇▇▇▇▇▇.▇▇▇/‌‌ 3Core Apache Storm guarantees that each message is processed at least once. Duplicates due to read Storm topology query online batch Summingbird program query Hadoop job ingest HDFS read write store3 store2 store1 Message Queue batch results key-value store client client library cannot be stored over long term because of limited memory capacity, and iterations over data is restricted. Such scenarios are well-handled in batch processing paradigm such as MapReduce [10] or Bulk Synchronous Parallel [11]. However, their disadvantages are the latency of delivering processing results (sometimes can be up to several seconds or minutes, or even hours), which makes online and interactive processing infeasible. write online results key-value store source1 source2 source3
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Related to Concepts for a Replay Mechanism

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  • Validation Mechanism To be eligible for articulation, the student must show evidence of their CompTIA A+ certification and it must have been issued within three (3) years prior to their enrollment in the program.

  • LIMITATIONS ON REVERSE ENGINEERING, DECOMPILATION AND DISASSEMBLY You may not reverse engineer, decompile, or disassemble the Software, except and only to the extent that such activity is expressly permitted by applicable law notwithstanding this limitation.

  • Innovative Scheduling Schedules which are inconsistent with the Collective Agreement provisions may be developed in order to improve quality of working life, support continuity of resident care, ensure adequate staffing resources, and support cost-efficiency. The parties agree that such innovative schedules may be determined locally by the Home and the Union subject to the following principles: (a) Such schedules shall be established by mutual agreement of the Home and the Union; (b) These schedules may pertain to full-time and/or part-time employees; (c) The introduction of such schedules and trial periods, if any, shall be determined by the local parties. Such schedules may be discontinued by either party with notice as determined through local negotiations; (d) Upon written agreement of the Home and the Union, the parties may agree to amend collective agreement provisions to accommodate any innovative unit schedules; (e) It is understood and agreed that these arrangements are based on individual circumstances and each agreement is made on a without prejudice or precedent basis. (f) It is understood and agreed that these arrangements can be utilized for temporary job postings for seasonal coverage (e.g. weekend workers, etc.).

  • Scope of Collaboration As part of the collaboration, the Controllers will act as Joint Controller. The roles of the Controller and the associated tasks are specified in more detail in Appendix 1. If one party is solely responsible for a data processing operation, this party will implement all relevant data protection provisions on its own responsibility. However, such data processing procedures are not subject to this Agreement. Joint data processing and the type of Personal Data collected and processed within the framework of collaboration are specified in Appendix 1.