Data replication techniques are used in data grid to reduce makespan, storage
consumption, access latency and network bandwidth. Data replication enhances data …

Cloud service providers offer application providers with virtually infinite storage and
computing resources, while providing cost-efficiency and various other quality of service …

Scheduling problems are naturally dynamic. Increasing flexibility will help solve bottleneck
issues, increase production, and improve performance and competitive advantage of Small …

Cloud computing has attracted increasing attention in data management. Data replication,
which brings files closer to the data consumers, is a well-known technique that reduces …

Cloud computing has emerged as a main approach for managing huge distributed data in
different areas such as scientific operations and engineering experiments. In this regard …

Cloud computing environment is getting more interesting as a new trend of data
management. Data replication has been widely applied to improve data access in …

Cloud computing is a suitable platform for workflows that work with massive data and big
data. Through virtualization, cloud computing converts physical infrastructures to virtual …

At present, huge cloud-based applications have put forward higher requests for data center
storage. In a large-scale Cloud environment, data replication provides an appropriate …

In data grid systems, data replication aims to increase availability, fault tolerance, load
balancing and scalability while reducing bandwidth consumption, and job execution time …

Scheduling is one of the important problems within the scope of control and management in
grid and cloud-based systems. Data grid still as a primary solution to process data-intensive …