Hadoop becomes de facto standard framework for big data analysis due to its scalability. Despite of the importance of Hadoop's scalability, there are a few works have been made on the scalability in multi-rack clu...
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ISBN:
(纸本)9781467356107
Hadoop becomes de facto standard framework for big data analysis due to its scalability. Despite of the importance of Hadoop's scalability, there are a few works have been made on the scalability in multi-rack clusters. In multi-rack clusters of real world, network topology becomes a major scalability bottleneck due to the limited network switch capacity. It is a waste of resources to add servers to a Hadoop cluster in such situation. Therefore, it is helpful for users to save cost by efficiently measuring the network influence to Hadoop before they add a new server to their clusters. In this paper, we describe a Hadoop performance model for the multi-rack clusters. We modeled network influence on Hadoop and achieved about 95% accuracy to the real measurement. Furthermore, we predicted Hadoop scalability in large clusters with our model and show Hadoop scales enough even in multi-rack clusters.
Emerging information technologies are those excitingly novel advances that decision makers are just beginning to notice. These emerging products or processes may have been invented some rime ago, but are only now begi...
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Emerging information technologies are those excitingly novel advances that decision makers are just beginning to notice. These emerging products or processes may have been invented some rime ago, but are only now beginning to reveal practical applications. This paper examines this collection of seven studies exploring emerging technologies, classifying them so the context of their results can be related to other emerging technologies. Once the research is classified and the contribution and managerial significance of the research is identified, it becomes apparent that certain barriers exist, holding back the technology from wider use and appreciation. Common obstacles include resistance to, or difficulty with, using the technology;uncertainty concerning the value of the technology;and the complexities involved with implementation. This paper concludes with recommendations for future research aimed at breaking down the barriers in order to move from the technological emergence phase to the technological sublime phase in which decision makers and other end users understand the technology, realize acid appreciate its value, and put the technology to its best use.
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