Abstract
Apache Spark is an increasingly popular fast big data analytics engine, which focuses on a large-scale data processing. Currently, Spark's memory management mainly oriented to single application, and do not directly support the typical scenarios of multiple data processing applications. In this paper, we propose an extension of Apache Spark, called Shared Memory Spark (SMSpark). SMSpark introduces shared memory based on RDD data sharing between applications. We conducted experiment in a cluster using two typical applications. Experimental results show that compared to Spark, SMSpark gains better performance.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: DEStech Transactions on Engineering and Technology Research
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
