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Cloud Computing is a relatively new computing approach which promises enhanced scalability, flexibility and cost-efficiency.
Compared with the LA-based schemes, consensus-based DPFs can achieve enhanced scalability and robustness against changes in network topology or node failures.
These algorithmic developments and extensions are classified into two categories: (i) enhanced scalability for CSD simulations on multicore platforms, (ii) newer ideas for running FSI simulations.
After all, by migrating their resources to the cloud, organisations can achieve enhanced scalability, a significant reduction in operating costs, greater collaboration and document control and provide ubiquitous access to their applications.
In the first category, the authors employed the ideas developed in the first paper of this series including the multilevel partitioning strategy, next generation optimized communication procedure and better memory management to get enhanced scalability for CSD simulations.
The main features of the new system are, (1) enhanced scalability: the system is capable of handling large NFS archives and small personal videos, and (2) enhanced integration with other resources such as web page and graphics data: these resources will be displayed with the video synchronously.
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It uses spatial decomposition combined with force decomposition to enhance scalability.
This effort is often for the sake of enhancing scalability, interoperability, composability and enabling information security.
For enhancing scalability, little work researches both security and self-organized performance issues of group establishing algorithm for MANETs.
The event-driven publish/subscribe system decouples event producers from consumers, enhancing scalability and flexibility of distributed system.
As a standard criteria to enhance scalability and survivability in the WSNs, clustering sensor nodes into some groups is considered in the literature, see, for example, [5 9].
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