Presently, retailing has changed its face from unordered stacked traditional stores to
beautifully decorated and appropriately managed merchandise stores or shop** malls …

Cloud computing offers the flexibility to dynamically size the infrastructure in response to
changes in workload demand. While both horizontal and vertical scaling of infrastructure is …

Cloud computing offers the flexibility to dynamically size the infrastructure in response to
changes in workload demand. While both horizontal scaling and vertical scaling of …

Instead of scaling an application and data around the computer, programmers can use a
software-defined server-an inverse hypervisor-in which multiple physical machines run a …

This paper addresses mainly the problem of private data protection in network
communication against eavesdrop** attacks. As this kind of attacks is stealthy and …

Apache Spark framework, which is the implementation of Resilient Distributed Datasets
(RDD), is used instead of MapReduce on recent data processing models of Hadoop …

MapReduce is a widely used framework that runs large scale data processing applications.
However, there are very few systematic studies of MapReduce on large clusters and thus …

Reading input from primary storage (ie the ingest phase) and aggregating results (ie the
merge phase) are important pre-and post-processing steps in large batch computations …

Due to the sustained and rapid growth of big data and the demand on higher accuracy
solutions for application problems, the completion time of fixed-time big data tasks executing …

This dissertation addresses performance tuning of MapReduce programs. The MapReduce
framework simplifies processing of large datasets across a large number of machines as a …