Optimizating and integrating node.js on distributed and multicore clouds

云计算是迈向信息时代的重要推动力。它使连接到我们网络的软件和硬件以更低的成本和更好的服务质量提供给人们和行业。此外，由于云在用户之间共享资源，这称为多租户，因此他们可以更好地利用基础设施。这节省了能源和材料，使云计算成为一项绿色和可持续的技术。所有这些都是至关重要的；云计算的替代方案是在内部购买、管理和维护大型计算机网络及其必要的基础设施，这需要的成本要么超出了大多数加拿大中小型公司的能力，要么最终可以转移到他们的客户身上，从而降低了他们相对于国际同行的竞争力。在软件层面，已经发明了Node.js等新技术来利用云的分布式特征。然而，它们是新的，缺乏更成熟的技术的成熟度，更重要的是，在利用底层硬件和开发人员友好性方面还不完善。我们通过使用Java的云计算平台即服务(PaaS)层面的各种创新，包括提高可伸缩性、更高的并行化/线程支持和硬件利用率，完成了这一领域的初步研究。在此基础上，我们将研究如何在可伸缩性、云部署、实时开发支持、硬件利用和新的语言特性等方面为云计算改进Node.js。

Cloud computing is a crucial driving force towards the information age. It has made the software and hardware connected to our networks available to people and industry with lower costs and better quality of service. Furthermore, because clouds share resources among users, which is referred to as multitenancy, they better utilize the infrastructure. This saves energy and materials, making cloud computing a green and sustainable technology. All these are critical; the alternative to cloud computing is buying, managing and maintaining large computer networks and their necessary infrastructure on premises, which entails a cost either beyond the capabilities of most small and medium sized Canadian companies or eventually transferrable to their customers, making them less competitive against international counterparts.At the software level, new technologies, such as Node.js, have been invented to exploit the distributed characteristics of the cloud. However, being new, they lack the maturity of more established technologies, and more importantly are incomplete in terms of utilizing the underlying hardware and developer-friendliness. We have completed preliminary research in this area through various innovations at the Platform-as-a-Service (PaaS) level of cloud computing using Java, including improving scalability, higher parallelization/threading support and hardware utilization. Based on these, we will investigate improving Node.js for cloud computing with scientific discipline particularly in the areas of scalability, cloud deployment, live-development support, hardware utilization and new language features.