Cloud computing offers a cost-effective and elastic computing paradigm that facilitates large scale data storage and analytics. By deploying virtualization technologies in the datacenter, cloud enables efficient resource management and isolation for various big data applications. Since the hotspots (i.e., overloaded machines) can degrade the performance of these applications, virtual machine mi...

STOCHASTIC DYNAMIC OPTIMIZATION MODELS FOR SOCIETAL RESOURCE ALLOCATION

Experimental studies have shown that clonal plants can reciprocally translocate assimilates and water between interconnected ramets, if grown in heterogeneous environments with complementary resource supplies. Internal exchange of different resources between spatially scattered ramets is a unique trait of clonal plants which can considerably enhance their performance in terms of biomass and clo...

Characterisation of productivity-diversity relationships forms an essential step towards a better understanding of biodiversity. In terrestrial systems this is a topical subject and most studies reported a hump-shaped relationship. For marine systems, however, the number of studies dedicated to this is low despite the high interest in this productivity-diversity relationship. The present study ...

This paper proposes mathematical programming models with probabilistic constraints in order to address incident response and resource allocation problems for traffic incident management. In incident response problems, we introduce the concept of quality of service during a potential incident to give the operator the flexibility to determine the optimal dispatching policy in response to various ...

Multistate monotone systems are used to describe technological or biological systems when the system itself and its components can perform at different operationally meaningful levels. This generalizes the binary monotone systems used in standard reliability theory. In this paper we consider the availabilities and unavailabilities of the system in an interval, i.e. the probabilities that the sy...

The purpose of this paper is to present a framework for optimal stochastic power control in interference limited fading wireless channels. The framework is based on applying stochastic programming methods to optimal transmit power allocation. Numerical examples based on applying interior point algorithms to the optimal power control problem are discussed. Furthermore, an application of the stoc...