Autoscaling system can reconfigure cloud-based services and applications, through various
configurations of cloud software and provisions of hardware resources, to adapt to the …

Cloud computing make it possible to flexibly procure, scale, and release computational
resources on demand in response to workload changes. Stakeholders in business and …

Recent years have seen the massive migration of enterprise applications to the cloud. One
of the challenges posed by cloud applications is Quality-of-Service (QoS) management …

Distributed data processing framework MapReduce is increasingly deployed in Clouds to
leverage the pay-per-usage cloud computing model. Popular Hadoop MapReduce …

Data centers and their applications are exponentially growing. Consequently, their energy
consumption and environmental impacts have also become increasingly more important …

Cloud computing harmonizes and delivers the ability of resource sharing over different
geographical sites. Cloud resource scheduling is a tedious task due to the problem of …

The recent breakthrough paper by Calude et al. has given the first algorithm for solving
parity games in quasi-polynomial time, where previously the best algorithms were mildly …

Using bi-criteria decision making analysis, a new model for test suite minimization has been
developed that pursues two objectives: minimizing a test suite with regard to a particular …

Web applications are mostly designed with multiple tiers for flexibility and software
reusability. It is difficult to model the behavior of multi-tier Web applications due to the fact …

Cloud providers provision their heterogeneous resources such as CPUs, memory, and
storage in the form of virtual machine (VM) instances which are then allocated to the users …