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Orexins are peptides produced by lateral hypothalamic neurons that exert a prominent role in the maintenance of wakefulness by activating orexin-1 (OX1R) and orexin-2 (OX2R) receptor located in wake-active structures. Pharmacological blockade of both receptors by the dual OX1/2R antagonist(More)
As Clouds are complex, large-scale, and heterogeneous distributed systems, management of their resources is a challenging task. They need automated and integrated intelligent strategies for provisioning of resources to offer services that are secure, reliable, and cost-efficient. Hence, effective management of services becomes fundamental in software(More)
Effective scheduling is a key concern for the execution of performance driven applications, such as workflows in dynamic and cost driven environment including Cloud. The majority of existing scheduling techniques are based on meta-heuristics that produce good schedules with advance reservation given the current state of Cloud services or heuristics that are(More)
As more and more data can be generated at a faster-than-ever rate nowadays, it becomes a challenge to processing large volumes of data for complex data analysis. In order to address performance and cost issues of big data processing on clouds, we present a novel design of adaptive workflow management system which includes a data mining based prediction(More)
5-HT(7) receptors are involved in REM sleep and possibly in mood disorders. REM sleep suppression and antidepressant-like behavior is observed in 5-HT(7)(-/-) mice and in rats treated with 5-HT(7) receptor antagonists. We recently demonstrated that pharmacological blockade of 5-HT(7) receptors enhances REM sleep suppression and antidepressant-like behavior(More)
Infrastructure-as-a-Service (IaaS) cloud computing provides the ability to dynamically acquire extra or release existing computing resources on-demand to adapt to dynamic application workloads. In this paper, we propose an extensible framework for on-demand cloud resource provisioning and adaptation. The core of the framework is a set of resource adaptation(More)
Traditionally, the "best effort, cost free" model of Supercomputers/Grids does not consider pricing. Clouds have progressed towards a service-oriented paradigm that enables a new way of service provisioning based on "pay-as-you-go" model. Large scale many-task workflow (MTW) may be suited for execution on Clouds due to its scale-* requirement (scale up,(More)
In this paper, we present a cloud framework to provide cloud clustering, workflow scheduling and management, fault tolerance and distributed data storage, data analytics and visualisation services. Using a practical case study, we show that in the process of analyzing multiscale climate data, typical problems plaguing data analysts are faced. These include(More)
<i>High Level Architecture</i> (HLA)-based simulations employing optimistic synchronization allows federates to process event and to advance simulation time freely at the risk of over-optimistic execution and execution rollbacks. In this paper, an adaptive resource provisioning system is proposed to accelerate optimistic HLA-based simulations in <i>Virtual(More)