Despite the potential given by the combination of multi-tenancy and virtualization, resource
utilization in today's data centers is still low. We identify three key characteristics of cloud …

Elasticity is a key characteristic of cloud computing that increases the flexibility for cloud
consumers, allowing them to adapt the amount of physical resources associated to their …

Entity resolution constitutes a crucial task for many applications, but has an inherently
quadratic complexity. Typically, it scales to large volumes of data through blocking: similar …

In highly heterogeneous and distributed systems, like Grids, it is rather difficult to provide
QoS to the users. As reservations of resources may not always be possible, another possible …

In cloud systems, a clear necessity emerges related to the use of efficient and scalable
computing resources. For this, accurate predictions on the load of computing resources are …

One of the key motivations of computational and data grids is the ability to make coordinated
use of heterogeneous computing resources which are geographically dispersed …

The establishment of agreements between users and the entities which manage the Grid
resources is still a challenging task. On the one hand, an entity in charge of dealing with the …

Elasticity is key for the cloud paradigm, where the pay-per use nature provides great
flexibility for end-users. However, elasticity complicates long-term capacity planning for …

One of the key motivations of computational and data Grids is the ability to make coordinated
use of heterogeneous computing resources which are geographically dispersed. However …

The exploitation of service oriented technologies, such as Grid computing, is being boosted
by the current service oriented economy trend, leading to a growing need of Quality of …