Titlebook: Cloud Computing and Big Data; Second International Weizhong Qiang,Xianghan Zheng,Ching-Hsien Hsu Conference proceedings 2015 Springer Inter

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書目名稱Cloud Computing and Big Data影響因子(影響力)




書目名稱Cloud Computing and Big Data影響因子(影響力)學(xué)科排名




書目名稱Cloud Computing and Big Data網(wǎng)絡(luò)公開度




書目名稱Cloud Computing and Big Data網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Cloud Computing and Big Data被引頻次




書目名稱Cloud Computing and Big Data被引頻次學(xué)科排名




書目名稱Cloud Computing and Big Data年度引用




書目名稱Cloud Computing and Big Data年度引用學(xué)科排名




書目名稱Cloud Computing and Big Data讀者反饋




書目名稱Cloud Computing and Big Data讀者反饋學(xué)科排名

TERRA

Schedule Compaction and Deadline Constrained DAG Scheduling for IaaS Clouduction cloud systems. Currently, most IaaS cloud providers charge users on billing cycle basis. If a resource is terminated before one billing cycle, the payment is still rounded up?to one cycle. To address this problem, we firstly formalized it using bin-package method. Then, we propose a DAG sched

引起

Synthesizing Realistic CloudWorkload Traces for Studying Dynamic Resource System Managementacenters capacities. However, its elasticity and its flexibility led to the explosion of virtual environments to manage. It’s common for a system administrator to manage several hundreds or thousands virtual machines. Without appropriate tool, this administration task may be impossible to achieve. W

外形

Energy-Efficient VM Placement Algorithms for Cloud Data Centerand on-demand way, just like the water and the electricity we use daily. The mapping between virtual machine and physical machine is the key of the VM scheduling problem. Nowadays we advocate low-carbon life. It calls for the green cloud computing solutions whether protecting the environment or savi

絕緣

A New Analytics Model for Large Scale Multidimensional Data Visualizationty. In this paper, we first present a classification method called the . which classifies multidimensional data into the 5Ws definitions. The 5Ws Dimensions can be applied to multiple datasets such as text datasets, audio datasets and video datasets. Second, we establish a .-. model to analyze the d

隼鷹

AutoCSD: Automatic Cloud System Deployment in Data Centersoud system deployment approach with the characteristics of reliability, availability, and load balance. Specifically, we use workflow to deal with the dependencies among the automatic deployment processes of a cloud system. We also design a failover mechanism to avoid the single point failure of the

隼鷹

An Architecture-Based Autonomous Engine for Services Configuration and Deployment in Hybrid Clouds growing trend towards migrating services to the cloud. Hybrid clouds, which comprise nodes both in the private cloud and in the public cloud, have emerged as a new model for service providers to deploy their services. However, to deploy services in hybrid clouds is a complex task as services are in

星星

UNIO: A Unified I/O System Framework for Hybrid Scientific Workflowonding data analytics programs. Unfortunately, current computing platform settings do not accommodate this emerging workflow very well. This is mainly because HPC simulation programs store output data into a dedicated storage cluster equipped with Parallel File System (PFS). To perform analytics on

輕快走過

Survey on Software-Defined Networkingo the next generation of networking. In this paradigm, SDN transfers the control function from the traditional distributed network equipment to the controllable computing devices, which makes the underlying network infrastructure abstract to network services and applications. In this study, we surve

不如樂死去

Dynamic Load Sharing to Maximize Resource Utilization Within Cloud Federationvices will not only hamper profits but also tarnish reputation of the provider. In these cases an effort can be made to provision resources from the other cloud providers so that they can serve the request using their unused resources. In this way the idea of cloud federation has emerged. The idea i