Energy-efficient resource provisioning for network-based cloud computing environments

云计算是一种越来越受欢迎的计算模式，现在证明了它是效用计算服务的必需品。几家提供商提供了云计算(CC)解决方案，其中通过互联网按需向客户提供一系列虚拟的、可动态扩展的计算能力、存储、平台和最新的网络服务。这是使用大型数据中心(DC)实施的，其中驻留了数千台服务器。拟议的项目将研究和开发一个全面的云计算系统资源分配和调度框架，该框架考虑到地理限制、能源、法规和数据源的位置以及网络连接供应。此框架将处理数据中心网络中的所有系统资源，并管理客户端请求、指示资源分配、确保网络服务质量(QoS)条件，以及减少或消除性能问题。该框架还将执行上述任务，同时将服务提供商的成本降至最低，并控制能源消耗水平。该项目汇集了一个由经验丰富的研究人员组成的优秀团队，他们具有互补的专业知识，以成功地进行拟议的研究。此外，行业合作伙伴将积极参与该项目，并将在研究生培养中发挥重要作用。预计预期的研究结果和结果不仅将使我们的行业合作伙伴受益，还将使更广泛的技术和工业社区受益于由此产生的技术，并将有助于在快速扩张的云计算领域建立关键技术领先地位。此外，拟议的项目将在加拿大培训具有尖端IT技术领域专业知识和最先进的研究分析工具的有才华和高能力的HQP。因此，许多加拿大高科技公司将受益于雇用拥有这项研究开发的专业知识的研究生。

Cloud computing is an increasingly popular computing paradigm, now proving a necessity for utility computing services. Several providers have cloud computing (CC) solutions available, where a pool of virtualized, dynamically-scalable, computing power, storage, platforms, and most recently network services are delivered on demand to clients over the Internet. This is implemented using large data centers (DCs) where thousands of servers reside. The proposed project will research and develop a comprehensive resource allocation and scheduling framework for cloud computing systems that considers geographical constraints, energy, regulations and locations of data sources, and network connections provisioning. This framework will handle all the system resources in the data center networks, and manage client requests, dictate resource allocation, ensure network quality of service (QoS) conditions, and reduce or eliminate performance hiccups. This framework would also execute the mentioned tasks while minimizing the service provider cost and controlling the level of consumed energy. This project brings together a small but outstanding team of proven researchers with complementary expertise to successfully conduct the proposed research. Furthermore, the industrial partners will be actively involved in the project and will play an important role in the training of the graduate students. The expected research findings and outcomes are not expected to only benefit our industrial partners, but also the wider technical and industrial communities will benefit from the resulting technologies and will help to establish critical technology leadership in the rapidly-expanding cloud computing field. In addition, the proposed project will train talented and highly-capable HQPs in Canada with expertise in cutting-edge IT technology fields and state-of-the-art research analysis tools. Therefore, many Canadian high-tech firms will benefit from hiring graduate students with expertise developed in this research.