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There are many scientific applications that have high performance computing (HPC) demands. Such demands are traditionally supported by cluster- or Grid-based systems. Cloud computing, which has experienced a tremendous growth, emerged as an approach to provide on-demand access to computing resources. The cloud computing paradigm offers a number of advantages over other distributed platforms. For example,...
Virtualized systems such as public and private clouds are emerging as important new computing platforms with great potential to conveniently deliver computing across the Internet and efficiently utilize resources consolidated via virtualization. Resource management in virtualized systems remains a key challenge because of their intrinsically dynamic and complex nature, where the applications have...
The increasing VM density in cloud hosting services makes careful management of physical resources such as CPU, memory, and I/O bandwidth within individual virtualized servers a priority. To maximize cost-efficiency, resource management needs to be coupled with the revenue generating mechanisms of cloud hosting: the service level agreements (SLAs) of hosted client applications. In this paper, we develop...
The elasticity and economics of cloud computing offer significant benefits to mission-critical applications which are increasingly complex and resource demanding. Cloud systems also provide powerful tools such as virtual machine (VM) based replication for defending mission-critical applications. However, cloud-based mission-critical computing raises serious challenges to mission assurance. VM-based...
As cloud computing thrives, many small organizations are joining a public cloud to take advantage of its multiple benefits. Cloud computing is cost efficient, i.e., cloud user can reduce spending on technology infrastructure and have easy access to their information without up-front or long-term commitment of resources. Moreover, a cloud user can dynamically grow and shrink the resources provisioned...
In this paper, we have designed a multi-layer architecture of air logistics cooperation system and elaborated detailed features of each layer based on cloud computing model to consolidate enterprises information resources on air logistics service chain and reduce repeating capital investment and operating costs. This new model can greatly shorten the development time of new system, accelerate the...
There are many scientific applications that have high performance computing demands. Such demands are traditionally supported by cluster-or Grid-based systems. Cloud computing, which has experienced a tremendous growth, emerged as an approach to provide on-demand access to computing resources. The cloud computing paradigm offers a number of advantages over other distributed platforms. For example,...
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