Recent years have witnessed the booming of big data analytical applications (BDAAs). This
trend provides unrivaled opportunities to reveal the latent patterns and correlations …

In this paper, we present a system for scalable and real-time sentiment analysis of Twitter
data. The proposed system relies on feature extraction from tweets, using both …

Software Defined Storage (SDS) separates the control layer from the data layer allowing the
automation of data management and deployment of Commercial Off-The-Shelf (COTS) …

Efficient resource management in Cloud data center is a challenging problem. Resource
monitoring has been reported as a tedious task in multi-tenant data centers. Implementing …

The increasing demand for elastic and scalable cloud block storage requires flexible and
efficient ways to provision volumes. The scheduling of volume requests in physical storage …

A major requirement of cloud block storage services is guaranteed performance and high
availability. However, offering guaranteed Service Level Agreements (SLAs) in cloud block …

Modern cloud deployments rely on multiple layers of microservices and a layer of one or
more persistent data store systems. The latter has always received a lot of attention as it is …

Achieving high performance in virtualized data centers requires both deploying high
throughput storage clusters, ie based on Solid State Disks (SSDs), as well as optimally …

Optimizing security dynamic scheduling method in cloud storage is significant for improving
resource date throughput and storage space of a cloud storage system. The paper presents …

Optimizing security dynamic scheduling method in cloud storage is significant for improving
resource date throughput and storage space of a cloud storage system. The paper presents …