The growing amount of data generated at the edge of the network, eg, by Internet of Things
(IoT) devices, made it indispensable to relocate computational power close to the data …

We present the Elton tool, a publicly available cloud resource elasticity management system
tailored to NoSQL databases. Elton is integrated in the Ganetimgr web platform, and offers …

As cloud services become central in an increasing number of applications, they process and
store more personal and business-critical data. At the same time, privacy and compliance …

The execution of distributed data processing workloads (such as those running on top of
Hadoop or Spark) in cloud environments presents a unique opportunity to explore multiple …

Service elasticity, the ability to rapidly expand or shrink service processing capacity on
demand, has become a first-class property in the domain of infrastructure services. Scalable …

Today's dynamic computing deployment for commercial and scientific applications is
propelling us to an era where minor inefficiencies can snowball into significant performance …

Elasticity of cloud computing environments provides an economic incentive for automatic
resource allocation of stateful systems running in the cloud. However, these systems have to …

A primary concern for cloud operators is to increase resource utilization while maintaining
good performance for applications. This is particularly difficult to achieve for three reasons …

Adaptive cloud elasticity is a key requirement and an open challenge for the cost-effective
and performance-efficient allocation of resources for cloud-based applications. It becomes …

Cloud computing offers the potential to store, manage, and process data in highly available,
scalable, and elastic environments. Yet, these environments still provide very limited and …