Cloud infrastructure resource management

云基础设施资源管理

• 批准号: 486584-2015
• 负责人: Agarwal, Anjali
• 金额: $ 2.19万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=600312
• 关键词: Cloud; infrastructure; resource; management

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.

云计算是IT行业的通用名称。但是，云计算使用情况的增加也会增加复杂性。最佳利用率的有效资源管理以最低的成本是至关重要的任务。这项工作的范围在IaaS服务模块下，该模块处理基础架构资源（虚拟机，服务器，存储和网络）分配。资源管理提供以下好处：弹性/可扩展性，QoS，最佳实用程序，开销减少，吞吐量改善，延迟减少，成本效益和简化界面。 VM迁移是管理资源最受欢迎的方法之一，实时VM迁移是重新加载或重新安排数据中心中资源以保持可用服务的最常用技术。统计数据显示，未使用70％的数据中心资源。因此，减少服务器和硬件的数量不仅会降低其资本成本，而且还将降低其运行和维护成本。此外，实时VM迁移将促进负载平衡和能源管理，作为资源管理的一部分。 VM迁移包括最佳选择要迁移的VM，必须选择哪个物理服务器移动此VM，何时开始迁移过程以及迁移过程的持续时间。 VM选择技术的目标是减少功耗，增加负载平衡并增加容错，这最终将增加云服务的可用性和吞吐量/效率。提高效率可降低整体运营成本，污染（绿色数据中心）和硬件维护。迁移过程本身针对的是在最短时间内移动VM，以避免任何服务中断。在这项研究建议中，与Cistech Ltd合作，我们考虑调查解决方案以减少迁移过程的时间，并最佳选择VM进行实时迁移。我们的项目目标是开发智能算法，该算法将评估可用的运行资源，以进行负载平衡，服务器整合，网络带宽，VMS缩小或扩展和扩展和故障公差。我们的项目将推动节能和运行IT数据中心的成本节省。