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

云计算是一种日益流行的计算范式，现在证明了公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、动态可扩展的计算能力、存储、平台和最新的网络服务池通过互联网按需交付给客户。这是使用驻有数千台服务器的大型数据中心 (DC) 来实现的。拟议的项目将研究和开发云计算系统的综合资源分配和调度框架，该框架考虑地理限制、能源、数据源的法规和位置以及网络连接配置。 该框架将处理数据中心网络中的所有系统资源，管理客户端请求，指示资源分配，确保网络服务质量（QoS）条件，并减少或消除性能问题。该框架还将执行上述任务，同时最大限度地降低服务提供商的成本并控制能源消耗的水平。该项目汇集了一个小而优秀的团队，由经过验证的研究人员组成，他们具有互补的专业知识，可以成功地进行拟议的研究。 此外，产业合作伙伴也将积极参与该项目，并在研究生培养中发挥重要作用。 预期的研究成果和成果不仅将使我们的工业合作伙伴受益，更广泛的技术和工业界也将从所产生的技术中受益，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，拟议项目还将在加拿大培养才华横溢、能力强的总部人员，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具有此项研究专业知识的研究生。

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.