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Big data resource management & networks: Taxonomy, survey, and future directions
FM Awaysheh, M Alazab, S Garg… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Big Data (BD) platforms have a long tradition of leveraging trends and technologies from the
broader computer network and communication community. For several years, dedicated …
broader computer network and communication community. For several years, dedicated …
MapReduce: Review and open challenges
IAT Hashem, NB Anuar, A Gani, I Yaqoob, F ** study
A major challenge in modelling and simulation is the need to combine expertise in both
software technologies and a given scientific domain. When High-Performance Computing …
software technologies and a given scientific domain. When High-Performance Computing …
[HTML][HTML] Job schedulers for big data processing in Hadoop environment: testing real-life schedulers using benchmark programs
At present, big data is very popular, because it has proved to be much successful in many
fields such as social media, E-commerce transactions, etc. Big data describes the tools and …
fields such as social media, E-commerce transactions, etc. Big data describes the tools and …
[PDF][PDF] Empirical study of job scheduling algorithms in Hadoop MapReduce
JV Gautam, HB Prajapati, VK Dabhi… - Cybernetics and …, 2017 - sciendo.com
Several Job scheduling algorithms have been developed for Hadoop-MapReduce model,
which vary widely in design and behavior for handling different issues such as locality of …
which vary widely in design and behavior for handling different issues such as locality of …
Task scheduling in big data platforms: a systematic literature review
Abstract Context: Hadoop, Spark, Storm, and Mesos are very well known frameworks in both
research and industrial communities that allow expressing and processing distributed …
research and industrial communities that allow expressing and processing distributed …
MapReduce scheduling algorithms: a review
Recent trends in big data have shown that the amount of data continues to increase at an
exponential rate. This trend has inspired many researchers over the past few years to …
exponential rate. This trend has inspired many researchers over the past few years to …
Data processing model to perform big data analytics in hybrid infrastructures
Big Data applications are present in many areas such as financial markets, search engines,
stream services, health care, social networks, and so on. Data analysis provides value to …
stream services, health care, social networks, and so on. Data analysis provides value to …