To realize the broad vision of pervasive computing, underpinned by the “Internet of
Things”(IoT), it is essential to break down application and technology-based silos and …

We present JetStream, a system that allows real-time analysis of large, widely-distributed
changing data sets. Traditional approaches to distributed analytics require users to specify …

The synergy between Cloud and IoT has emerged largely due to the Cloud having attributes
which directly benefit IoT and enable its continued growth. IoT adopting Cloud services has …

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 …

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 …

MapReduce has proven remarkably effective for a wide variety of data-intensive
applications, but it was designed to run on large single-site homogeneous clusters …

Geo-distributed Bigdata processing is increasing day by day, resulting in the origins of data
that are geographically distributed in different countries and hold datacenters (DCs) across …

In many global businesses of multinational enterprises, graph-structure data is usually
geographically distributed in different regions to support low-latency services. Geo …

MapReduce has proven remarkably effective for a wide variety of data-intensive
applications, but it was designed to run on large single-site homogeneous clusters …

Internet of things witnessed rapid growth in the last decade and is considered to be a
promising field that plays an all-important role in every aspect of modern-day life. However …