Cloud infrastructure resource management

云计算是IT行业的一个通用名称。然而，云计算使用量的增加也带来了复杂性的增加。以最小成本实现最佳利用的有效资源管理是一项至关重要的任务。这项工作的范围在IaaS服务模块下，它处理基础设施资源（虚拟机、服务器、存储和网络）的分配。资源管理提供以下好处：弹性/可伸缩性、QoS、最优实用程序、减少开销、改进吞吐量、减少延迟、成本效益和简化接口。VM迁移是最流行的资源管理方法之一，Live VM迁移是最常用的技术，用于重新加载或重新排列数据中心中的资源，以保持交付的服务可用。统计数据显示，70%的数据中心资源未被利用。因此，减少服务器和硬件的数量不仅可以降低其资本成本，还可以降低其运行和维护成本。此外，作为资源管理的一部分，Live VM迁移将促进负载平衡和能源管理。虚拟机迁移包括选择待迁移的虚拟机、选择迁移虚拟机的物理服务器、何时启动迁移、迁移时间等。VM Selection技术的目标是降低功耗、增加负载平衡和增加容错性，最终将提高云服务的可用性和吞吐量/效率。效率的提高降低了整体运营成本、污染（绿色数据中心）和硬件维护。迁移过程本身的目标是在最短的时间内迁移虚拟机，以避免任何业务中断。在本研究提案中，我们与Cistech有限公司合作，考虑研究解决方案，以减少迁移过程时间，并优化选择虚拟机进行实时迁移。我们的项目目标是开发智能算法，以评估可用的运行资源，以实现负载平衡、服务器整合、网络带宽、虚拟机收缩或扩展以及容错。我们的项目将推动IT数据中心的节能和成本节约。

Cloud computing is a common name in IT industry. However increase in Cloud computing usage also comes with increased complexity. Efficient resource management for best utilization with minimal cost is a crucial task. The scope of this work is under IaaS service module, which handles infrastructure resources (Virtual Machines, Servers, Storage, and Network) allocation. Resource management offers the following benefits: elasticity/scalability, QoS, optimal utility, reduced overhead, improved throughput, reduced latency, cost effectiveness and simplified interface. VM migration is one of the most popular way to manage resources, and Live VM migration is the most used technique to reload or rearrange the resources in datacenter to keep the delivered services available. Statistics shows 70% of datacenters resources is not utilized. Therefore, reduction in number of servers and hardware will not only reduce its capital costs, but will also reduce its running and maintenance cost. In addition, Live VM migration will facilitate load balancing and energy management as part of resource management. VM migration consists of optimally selecting VM to be migrated, which physical server must be chosen to move this VM, when to start migration process, and duration of migration process. The goals for VM Selection techniques are to reduce power consumption, increase load balancing, and increase fault tolerance, which eventually will increase the cloud services availability and throughput/efficiency. The increased efficiency reduces the overall operation costs, pollution (green datacenters), and hardware maintenance. Migration Process itself targets moving the VM in minimum time to avoid any interruption of services. In this research proposal, in collaboration with Cistech Ltd, we consider investigating solutions to decrease the migration process time and optimally selecting VMs for live migration. Our project goal is to develop smart algorithms that will evaluate the available running resources for load balancing, server consolidation, network bandwidth, VMs shrinking or expanding and fault tolerance. Our project will drive the energy saving and the cost saving in running the IT datacenters.