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Free cooling, i.e., directly using outside cold air and/or water to cool down datacenters, can provide significant power savings of datacenters. However, due to the limited cooling capability, which is tightly coupled with climate conditions, free cooling is currently used only in limited locations (e.g., North Europe) and periods of the year. Moreover, the applicability of free cooling is further...
Along with the development of grid computing and cloud computing, finite computing resources supplied by stand-alone server usually become the bottleneck in the process of system implementation of online trading platform. Moreover, It is difficult to reuse algorithm module and the system also becomes more complicated to achieve. Traditional online trading framework can not preferably solve the problem...
Virtualization has rapidly gained popularity affecting multiple levels of computing stack. Since it decouples resources from their users it provides greater flexibility in terms of resource allocation but also brings new challenges for optimal design, provisioning and runtime management of systems. Cloud computing is a paradigm of computing that offers virtualized resources “as a service.” Cloud Managers...
With energy shortages and global climate change leading our concerns these days, the power consumption of datacenters has become a key issue. Obviously, a substantial reduction in energy consumption can be made by powering down servers when they are not in use. This paper aims at designing, implementing and evaluating a Green Scheduling Algorithm integrating a neural network predictor for optimizing...
Desktop cloud is a new delivery model in which end users connect to virtual desktops running in remote data centers. This paradigm offers multiple benefits both in terms of manageability as well as efficiency improvements. However, realizing this potential requires better understanding of desktop workload and its implications for desktop consolidation. We analyze CPU and memory usage on a sample of...
Containing runaway IT costs is one of the top priorities for enterprises. Cloud Computing, with its on-demand provisioning capability on shared resources, has emerged as a new paradigm for managing IT costs. In this paper, we describe a framework to simplify deployment of complex solutions on a Cloud infrastructure. We discuss the concept of a composite appliance and show how it can be used to reduce...
We discuss the problem of resource provisioning for database management systems operating on top of an Infrastructure-As-A-Service (IaaS) cloud. To solve this problem, we describe an extensible framework that, given a target query workload, continually optimizes the system's operational cost, estimated based on the IaaS provider's pricing model, while satisfying QoS expectations. Specifically, we...
On-demand resource provision is one of the key features of cloud computing, allowing applications to grow or shrink on the basis of dynamic workloads. Thus far, most of the research on leveraging on-demand resource provision has focused on batch style applications for scientific computation or Web-centric applications, especially n-tier e-commerce applications. Very little research, however, has focused...
As a kind of emerging business computational model, Cloud Computing distribute computation task on the resource pool which consists of massive computers, accordingly ,the application systems can gain the computation strength, the storage space and software service according to its demand. Cloud computing can be viewed from two different aspects. One is about the cloud infrastructure which is the building...
The primary motivation for uptake of virtualization has been resource isolation, capacity management and resource customization allowing resource providers to consolidate their resources in virtual machines. Various approaches have been taken to integrate virtualization in to scientific Grids especially in the arena of High Performance Computing (HPC) to run grid jobs in virtual machines, thus enabling...
Scalability is critical to the success of many enterprises currently involved in doing business on the Web and in providing information that may vary drastically from one time to another. Maintaining sufficient resources just to meet peak requirements can be costly. Cloud computing provides a powerful computing model that allows users to access resources on-demand. In this paper, we will describe...
During last years, great progress has been made in exposing the energy consumption of computing equipment and providing infrastructure users with mechanisms to adequate power expenditures to the performance levels required from hardware elements. However, mapping such hardware-level capabilities to service-level energy monitoring and control mechanisms is not straightforward in advanced service delivery...
Energy efficiency in the field of information and communication technology becomes increasingly important due to the increase in energy costs and the desire to reduce CO2 emissions. Office environments of public administration and companies promise high potential in terms of energy saving. In such environments a high number of hosts are operating on a 24/7 basis. This paper suggests an Energy-Efficient...
To be competitive and to react faster to the market demands, Enterprises need new information processing techniques, able to analyse the increasing amount of produced data, and innovative solutions in order to manage the computational resources with better flexibility, scalability, efficiency and smaller costs. The traditional monolithic high performance computing paradigm is not suitable to achieve...
With the increasing prevalence of large scale cloud computing environments, how to place requested applications into available computing servers regarding to energy consumption has become an essential research problem, but existing application placement approaches are still not effective for live applications with dynamic characters. In this paper, we proposed a novel approach named EnaCloud, which...
The cloud phenomenon is quickly growing towards becoming the de facto standard of Internet computing, storage and hosting both in industry and academia. The large scalability possibilities offered by cloud platforms can be harnessed not only for services and applications hosting but also as a raw on-demand computing resource. This paper proposes the use of a cloud system as a raw computational on-demand...
EUCALYPTUS, an open source cloud-computing framework, is still lack of load balancing. In the paper, we provide a kind of implementation by adaptive live migration of virtual machines. We design and implement a simple model which decreases the migration time of virtual machines by shared storage and fulfills the zero-downtime relocation of virtual machines by transforming them as Red Hat cluster services...
As an emerging model for new enterprise data centers, the cloud paradigm provides a disruptive market opportunity to better utilize computing resources and reduce IT complexity. To provide the cloud computing service, the provisioning of the cloud infrastructure in data centers is a pre-request. However, the provisioning for systems and applications on large number of physical machines is traditionally...
Traditional desktop delivery model is based on a large number of distributed PCs executing operating system and desktop applications. Managing traditional desktop environments is incredibly challenging and costly. Tasks like installations, configuration changes, security measures require time-consuming procedures and dedicated deskside support. Also these distributed desktops are typically underutilized,...
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