Computer clusters with the shared-nothing architecture are the major computing platforms
for big data processing and analysis. In cluster computing, data partitioning and sampling …

Cloud computing uses scheduling and load balancing for virtualized file sharing in cloud
infrastructure. These two have to be performed in an optimized manner in cloud computing …

The virtualization technology, particularly virtual machines (VMs) used in cloud computing
systems have raised unique security and survivability risks for cloud users. This paper …

Cloud computing has emerged as an initiative which offers great promise in improving
access to computational resources that would otherwise be unattainable due to sheer cost …

Data fragmentation and replication are an essential issue in cloud databases, since
information demands are huge and improving performance through distributed database …

With the advent of cloud computing, more businesses are turning to the cloud for deploying
their applications and for infrastructure solutions. Quality of Service parameters has a direct …

Cloud computing provides a paradigm where users can utilize various configurable IT
resources in an on-demand and cost-effective manner. However, new security risks such as …

This paper models cloud computing systems subject to co-resident attacks, where an
attacker can get access to a user's sensitive data through co-residence of their virtual …

The real innovation of Internet of Things (IoT) can be spurred only when being combined
with cloud computing, a paradigm that allows numerous users to simultaneously access …

Abstract Online Transaction Processing (OLTP) gets support from data partitioning to
achieve better performance and scalability. The primary objective of database and …