In the age of big data, software-as-a-service (SaaS) clouds provide heterogeneous and
multitenant utilization of underlying virtual environments in data centers. Real-time and …

The MapReduce (MR) scheduling is a prominent area of research to minimize energy
consumption in the Hadoop framework in the era of green computing. Very few scheduling …

For many years, computer scientists have explored the computing power of so-called
computing clusters to address performance requirements of computationally intensive tasks …

Hyperledger Fabric is a platform for permissioned blockchain networks that enables secure
and auditable distributed data storage for enterprise applications. There is a growing interest …

Although reduction in operating costs remains to be a key motivation for migration to Cloud
environments, Power consumption is a big concern for data centers and cloud service …

The efficient use of energy is essential to address concerns of cost and sustainability. Many
data centers contain MapReduce clusters to process Big Data applications. A large number …

Security, reliability and energy efficiency are key requirements in any smart cities
applications. In this paper, we investigate the use of a power efficient cloud cluster …

As data analytics applications become increasingly important in a wide range of domains,
the ability to develop large-scale and sustainable platforms and software infrastructure to …

The computing frameworks running in the cloud environment at an extreme scale provide
efficient and high-performance computing services to various domains. These cloud …

For several decades, clusters have been used in high performance computing to achieve
exceptional performance. Single Board Computer (SBC) clusters were developed as an …