The cloud phenomenon is quickly becoming an important service in Internet computing.
Infrastructure as a Service (IaaS) in cloud computing is one of the most significant and …

在科学研究, 计算机仿真, 互联网应用, 电子商务等诸多应用领域, 数据量正在以极快的速度增长,
为了分析和利用这些庞大的数据资源, 必须依赖有效的数据分析技术. 传统的关系数据管理技术 …

Context: In recent years, the valuable knowledge that can be retrieved from petabyte scale
datasets–known as Big Data–led to the development of solutions to process information …

MapReduce is emerging as an important programming model for large-scale data-parallel
applications such as web indexing, data mining, and scientific simulation. Hadoop is an …

Infrastructure-as-a-system compute clouds such as Amazon's EC2 allow users to pay a flat
hourly rate to run their virtual machine (VM) on a server providing some combination of CPU …

MapReduce has emerged as a leading programming model for data-intensive computing.
Many recent research efforts have focused on improving the performance of the distributed …

As a widely-used parallel computing framework for big data processing today, the Hadoop
MapReduce framework puts more emphasis on high-throughput of data than on low-latency …

Big data has revolutionized science and technology leading to the transformation of our
societies. High-performance computing (HPC) provides the necessary computational power …

In this paper, we consider task-level scheduling algorithms with respect to budget and
deadline constraints for a batch of MapReduce jobs on a set of provisioned heterogeneous …

Typically called big data processing, processing large volumes of data from geographically
distributed regions with machine learning algorithms has emerged as an important …