Apac

Recently, big data has become one of the important parts of computer engineering. The data goes rapidly increase on our planet it can generate from different kinds of sources, for instance, astronomy, oceanography, healthcare, social media, banking, manufacturing, and many others. However, scheduling considered one of the utmost important parts in Apache Hadoop. Indeed, it needs more study to try to cover it. However, this study is critically classify, for other studies, it is compare, investigate and analyze the result by using systematic literature Review (SLR) methodology. Moreover, it identifies the pros and cons an individually for each scheduler algorithm that selected to make this study. Plus, this thesis covered which mechanisms are being used in the algorithms and which scheduler algorithm dominantly used in Apache Hadoop compare to the others scheduler algorithms it used. Thus, these things were not covered in another study in the literature on computer engineering.