A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource ...

Abstract: MapReduce is a software framework for processing data-intensive applications with a parallel manner in cloud computing systems. Some MapReduce jobs have the deadline requirements for their ...

Abstract: Pattern mining is one of the most important tasks to extract meaningful and useful information from raw data. This task aims to extract item-sets that represent any type of homogeneity and ...

We present Airavat, a Map Reduce-based system which provides strong security and privacy guarantees for distributed computations on sensitive data. Airavat is a novel integration of mandatory access ...

1.0.4 (HDP 1.0 - 1.2) [SIMR Hadoop 1.0.4] () / [Spark Hadoop 1.0.4] () 1.2.x (HDP 1.3) [SIMR Hadoop 1.2.0] () / [Spark Hadoop 1.2.0] () 0.20 (CDH3) [SIMR CDH3 ...

Cloud Posse uses atmos to easily orchestrate multiple environments using Terraform. In Cloud Posse's examples, we avoid pinning modules to specific versions to prevent discrepancies between the ...

Although there is tremendous interest in designing improved networks for data centers, very little is known about the network-level traffic characteristics of current data centers. In this paper, we ...

There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.