In a cloud computing environment, resources are shared among different clients. Intelligently
managing and allocating resources among various clients is important for system providers …

The system overload is a common problem in a Database-as-a-Serice (DaaS) environment
because of unpredictable and bursty workloads from various clients. Due to the service …

In the past, enterprise resource planning systems were designed as monolithic software
systems running on centralized mainframes. Today, these systems are (re-) designed as a …

In this paper we investigate the issue of automatically identifying the “natural” degree of
parallelism of an application using software transactional memory (STM), ie, the workload …

Workload management is the discipline of effectively monitoring, managing and controlling
work flow across computing systems. In particular, workload management in database …

There has been a lot of excitement around using machine learning to improve the
performance and usability of database systems. However, few of these techniques have …

In this paper, an application of range image analysis in the area of face recognition is
described. The process from image acquisition to recognition is presented in detail. Range …

In three-tiered web applications, some form of admission control is required to ensure that
throughput and response times are not significantly harmed during periods of heavy load …

To provide quick responses to users, Internet companies rely on online data systems able to
answer queries in milliseconds. These systems employ complementary overload …

Cloud providers, like Amazon, offer their data centers' computational and storage capacities
for lease to paying customers. High electricity consumption, not only reflects on the data …