A Survey of Cloud Computing Data Virtualization Service

Abstract

Cloud computing is becoming a mainstream aspect of information technology. How to efficiently manage the cloud resources across multiple cloud domains is critical for providing continuous cloud services. This paper introduces the principle and review recent research progress on cloud service to support network virtualization. It presents a framework of network-Cloud convergence based on data center network and gives a survey on key technologies for realizing cloud center and service; the reliability of cloud applications can be greatly improved.

Research on multi-attribute controller for virtual data domain based on software definition network

“…In the data layer of SDN, these six kinds of technology data are different data sets, and each kind of data domain is oriented to a certain kind of data business. When the data required for a business are derived from a number of different data sets, there needs to be a more regional virtual entity data set into a virtual data to support this business field [21][22][23] ; this can easily integrate physical data set area data and provide the corresponding data resources to support this business. Under the framework of SDN, this article discusses how to set up virtual data domain problems in the virtual cube market based on business requests.…”

Network Virtualization Over Elastic Optical Networks: A Survey of Allocation Algorithms

“…Based on such classification, this work also identifies open research areas as multi-objective optimization approaches, distributed architectures, meta-heuristics, reconfiguration and protection mechanisms for virtual networks over elastic optical networks.under the conditions stated in a service level agreement (SLA), having dynamic scaling of resources and transparent access to network services, unaware of the location and hardware/ software characteristics of the required resources [2]. Apart from high bandwidth, cloud computing applications require the following functionalities from the underlying physical network [1]:• Abstraction: The technology/implementation specific details of the physical network resources are hidden to the users, due to the "computing as a utility" philosophy.• Isolation: Different cloud computing applications should not interfere with each other in the access to common physical resources.• Flexible resource granularity: The amount of resources (storage, processing power and bandwidth) required by different cloud computing applications might vary significantly.• On-demand setup/tear down: For efficiency, network resources should be set-up/torn down with a highly dynamic, rapidly reconfigurable and programmable network environment, something not possible with the current status of Internet [3].• Resiliency: Grid/cloud computing applications should continue running in spite of failures affecting the optical network.Network virtualization, which extends the well-known concepts of server and storage virtualization to networks, is envisaged as a key enabling technology for cloud computing services.As such, the benefits of running cloud applications on top of virtual networks (as opposed to on top of virtual servers alone, as usually done [4,5]), was evidenced by several preliminary studies on network virtualization for cloud computing. In Ref.[6], resource allocation of cloud-based data centres services was proposed by abstracting the service requests as virtual network requests.…”

“…As such, the benefits of running cloud applications on top of virtual networks (as opposed to on top of virtual servers alone, as usually done [4,5]), was evidenced by several preliminary studies on network virtualization for cloud computing. In Ref.…”