Abstract The Internet of Things needs for computing power and storage are expected to
remain on the rise in the next decade. Consequently, the amount of data generated by …

Advances in future computing to support emerging sensor applications are becoming more
important as the need to better utilize computation and communication resources and make …

The emergence of vehicular networking enables distributed cooperative computation among
nearby vehicles and infrastructures to achieve various applications that may need to handle …

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 …

Since MapReduce became an effective and popular programming framework for parallel
data processing, key skew in intermediate data has become one of the important system …

In the era of global-scale services, organisations produce huge volumes of data, often
distributed across multiple data centres, separated by vast geographical distances. While …

With the continuous development of society and economic progress, when a large amount of
data enters the cloud computing system, people will pay more attention to data security. In …

Nowadays, online applications are moving to the cloud, and for delay-sensitive ones, the
cloud is being extended with edge/fog domains. Emerging cloud platforms that tightly …

Ever since the commercial offerings of the Cloud started appearing in 2006, the landscape
of cloud computing has been undergoing remarkable changes with the emergence of many …

Many geo-distributed data analytics (GDA) systems have focused on the network
performance-bottleneck: inter-data center network bandwidth to improve performance …