An infrastructure with a unified control plane to integrate IP into optical metro networks to provide flexible and intelligent bandwidth on demand for cloud computing

2012 ◽  
Author(s):  
Wei Yang ◽  
Trevor Hall
Keyword(s):  
Cloud Computing ◽  
Control Plane ◽  
On Demand ◽  
Metro Networks ◽  
Bandwidth On Demand

Control Plane Functions and Multiple Connection Method in Switched Optical Network

2011 ◽  
Vol 204-210 ◽  
pp. 2184-2187
Author(s):  
Ning Zhang ◽  
Xue Mei Xu
Keyword(s):  
Optical Switching ◽  
Optical Network ◽  
Network Interface ◽  
Control Plane ◽  
On Demand ◽  
Connection Method ◽  
Bandwidth On Demand ◽  
Demand Service

In this article, we present a multiple connection method for a optical switching architecture and discuss the control plane to connection. In optical network, there are three function planes and every plane has its important role. Fast provisioning enables bandwidth on demand service, where a user or its proxy can directly request a connection by using appropriate signaling via the user-network interface. A call may embody any number of underlying connections, including zero. Benefits of this separation include supporting such optical services as scheduled bandwidth on demand, diverse circuit provisioning, or bundled connection.

A Framework for Realizing Security on Demand in Cloud Computing

2013 ◽  
Author(s):  
Pramod Jamkhedkar ◽  
Jakub Szefer ◽  
Diego Perez-Botero ◽  
Tianwei Zhang ◽  
Gina Triolo ◽  
...  
Keyword(s):  
Cloud Computing ◽  
On Demand

scholarly journals GATECloud.net: a platform for large-scale, open-source text processing on the cloud

2013 ◽  
Vol 371 (1983) ◽  
pp. 20120071 ◽  
Author(s):  
Valentin Tablan ◽  
Ian Roberts ◽  
Hamish Cunningham ◽  
Kalina Bontcheva
Keyword(s):  
Cloud Computing ◽  
Language Processing ◽  
Large Scale ◽  
Virtual Machines ◽  
Cost Benefit Analysis ◽  
Text Processing ◽  
Cost Benefit ◽  
Data Intensive ◽  
On Demand ◽  
Usage Evaluation

Cloud computing is increasingly being regarded as a key enabler of the ‘democratization of science’, because on-demand, highly scalable cloud computing facilities enable researchers anywhere to carry out data-intensive experiments. In the context of natural language processing (NLP), algorithms tend to be complex, which makes their parallelization and deployment on cloud platforms a non-trivial task. This study presents a new, unique, cloud-based platform for large-scale NLP research—GATECloud. net. It enables researchers to carry out data-intensive NLP experiments by harnessing the vast, on-demand compute power of the Amazon cloud. Important infrastructural issues are dealt with by the platform, completely transparently for the researcher: load balancing, efficient data upload and storage, deployment on the virtual machines, security and fault tolerance. We also include a cost–benefit analysis and usage evaluation.

scholarly journals A Conceptual Model for Cloud Computing Adoption by SMEs in Australia

2016 ◽  
pp. 307-334 ◽  
Author(s):  
Ishan Senarathna ◽  
Matthew Warren ◽  
William Yeoh ◽  
Scott Salzman
Keyword(s):  
Cloud Computing ◽  
Conceptual Model ◽  
Business Service ◽  
Perceived Benefits ◽  
Public Cloud ◽  
Total Cost ◽  
The Public ◽  
Software Applications ◽  
On Demand ◽  
Cloud Computing Adoption

Cloud Computing is an increasingly important worldwide development in business service provision. The business benefits of Cloud Computing usage include reduced IT overhead costs, greater flexibility of services, reduced TCO (Total Cost of Ownership), on-demand services, and improved productivity. As a result, Small and Medium-Sized Enterprises (SMEs) are increasingly adopting Cloud Computing technology because of these perceived benefits. The most economical deployment model in Cloud Computing is called the Public Cloud, which is especially suitable for SMEs because it provides almost immediate access to hardware resources and reduces their need to purchase an array of advanced hardware and software applications. The changes experienced in Cloud Computing adoption over the past decade are unprecedented and have raised important issues with regard to privacy, security, trust, and reliability. This chapter presents a conceptual model for Cloud Computing adoption by SMEs in Australia.

scholarly journals Cloud Computing: A Review

2021 ◽  
Vol 9 (12) ◽  
pp. 1201-1204
Author(s):  
Shailaja Dilip Pawar
Keyword(s):  
Cloud Computing ◽  
Cloud Service ◽  
Service Development ◽  
Network Access ◽  
Computing Resource ◽  
On Demand ◽  
Introductory Part

Abstract: Cloud computing is actually a model for enabling convenient, limitless, on demand network access to a shared pool of computing resource. This paper describes introductory part explain the concept of cloud computing, different components of cloud, types of cloud service development. At last paper elaborates the classification of cloud computing which will clear the ovelall idea of cloud computing to the learners who are new to this field. Keywords: cloud computing, SaaS, PaaS, IaaS

Secure and bandwidth-on-demand full-service access network

1998 ◽  
Author(s):  
L.M. Wang ◽  
Y. Chai ◽  
M.H. Shih ◽  
E.S. Choa
Keyword(s):  
Access Network ◽  
Service Access ◽  
On Demand ◽  
Bandwidth On Demand

Cloud-Enabled Software Testing Based on Program Understanding

2012 ◽  
pp. 54-67
Author(s):  
Chia-Chu Chiang ◽  
Shucheng Yu
Keyword(s):  
Cloud Computing ◽  
Software Testing ◽  
Software As A Service ◽  
Innovative Technology ◽  
Test Cases ◽  
Program Understanding ◽  
On Demand ◽  
Computing Technologies

Cloud computing provides an innovative technology that enables Software as a Service (SaaS) to its customers. With cloud computing technologies, a suite of program understanding tools is suggested to be deployed in a cloud to aid the generation of test cases for software testing. This cloud-enabled service allows customers to use these tools through an on-demand, flexible, and pay-per-use model. Lastly, the issues and challenges of cloud computing are presented.

Cloud in Science

2014 ◽  
pp. 165-191
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Scientific Computing ◽  
Scientific Discovery ◽  
Software Environment ◽  
Access To Resources ◽  
On Demand ◽  
Service Models ◽  
New Models ◽  
The Impact

Cloud computing technologies and service models are attractive to scientific computing users due to the ability to get on-demand access to resources as well as the ability to control the software environment. Scientific computing researchers and resource providers servicing these users are considering the impact of new models and technologies. SaaS solutions like Globus Online and IaaS solutions such as Nimbus Infrastructure and OpenNebula accelerate the discovery of science by helping scientists to conduct advanced and large-scale science. This chapter describes how cloud is helping researchers to accelerate scientific discovery by transforming manual and difficult tasks into the cloud.

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