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

云计算是一种越来越流行的计算范例，现在证明是实用计算服务的必要性。一些提供商提供云计算（CC）解决方案，其中虚拟化的、动态可扩展的计算能力、存储、平台和最近的网络服务池通过互联网按需交付给客户端。这是使用大型数据中心（DC）实现的，其中驻留有数千台服务器。拟议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。 该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，规定资源分配，确保网络服务质量（QoS）条件，并减少或消除性能打嗝。该框架还将执行上述任务，同时最小化服务提供商成本并控制消耗的能量水平。该项目汇集了一个小型但优秀的团队，由经过验证的研究人员组成，他们具有互补的专业知识，能够成功地进行拟议的研究。 此外，工业合作伙伴将积极参与该项目，并将在研究生的培训中发挥重要作用。 预期的研究发现和成果不仅会使我们的工业合作伙伴受益，而且更广泛的技术和工业社区也将受益于所产生的技术，并将有助于在快速发展的云计算领域建立关键技术领导地位。此外，拟议的项目将在加拿大培养有才华和高能力的HQP，他们拥有尖端IT技术领域的专业知识和最先进的研究分析工具。因此，许多加拿大高科技公司将受益于雇用在这项研究中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.