MapReduce is a programming system for distributed processing of large-scale data in an
efficient and fault tolerant manner on a private, public, or hybrid cloud. MapReduce is …

With the development of information technologies, we have entered the era of Big Data.
Google's MapReduce programming model and its open-source implementation in Apache …

Cloud computing is the most prominent computing paradigm in the present era of
information technology. However, data centers needed for hosting cloud services demand …

Scientific workflows, like other applications, benefit from the cloud computing, which offers
access to virtually unlimited resources provisioned elastically on demand. In order to …

Hadoop and Spark are widely used distributed processing frameworks for large-scale data
processing in an efficient and fault-tolerant manner on private or public clouds. These big …

Cloud computing helps reduce costs, increase business agility and deploy solutions with a
high return on investment for many types of applications. However, data security is of …

The exposure of sensitive data in storage and transmission poses a serious threat to
organizational and personal security. Data leak detection aims at scanning content (in …

摘要批处理, 流式计算和机器学习等分布式的大数据计算环境在云上的广泛部署与应用,
为云用户带来了极大的便利, 但随之带来的隐私数据泄露事件愈演愈烈. 如何在这种云上部署的 …

Cloud computing is a technology that facilitates numerous configurable resources in which
the data is stored and managed in a decentralized manner. However, since the data is out of …

Hybrid clouds have gained popularity in recent times in a variety of organizations due to
their ability to provide additional capacity in a public cloud, to augment private cloud …