IJFANS International Journal of Food and Nutritional Sciences
ISSN PRINT 2319 1775 Online 2320-7876
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A Study of Extraction and Analysis of Dye Yielding Plants
Volume 14 | Issue 5
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Development and quality evaluation of “Ardrak Laddu” (Sweet Ginger Balls): A Potent Immune Enhancer
Volume 14 | Issue 5
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Conservation and Adaptive Reuse of Maratha-Era Wadas in Maharashtra: Architectural, Cultural, and Socio-Historical Perspectives
Volume 14 | Issue 5
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Process Optimization of Low-Calorie and Cinnamon (Cinnamomum verum) Enriched Herbal Shrikhand
Volume 14 | Issue 5
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A Systematic Review and Meta Analysis of Dietary Interventions in Prevention and Management of Osteoporosis among Adults
Volume 14 | Issue 5
Spark Cluster Performance When Using a Cloud Service vs. a Typical Configuration
Main Article Content
Abstract
Apache Spark was developed as a free and open-source cluster computing platform for handling massive amounts of data. This article focuses on setting up a Spark cluster in the cloud using OpenStack. Spark cluster as a service is compared to a traditional Spark cluster using the HiBench test suite. Using Spark as a cloud service yields more promising results in terms of time, effort, and throughput, as shown by the results.
