Using SDN Technology to Enable Cost-Effective Bandwidth-on-Demand for Cloud Services [Invited]

2014 ◽  
Vol 7 (2) ◽  
pp. A326 ◽  
Author(s):  
Robert Doverspike ◽  
George Clapp ◽  
Pierre Douyon ◽  
Douglas M. Freimuth ◽  
Krishna Gullapalli ◽  
...  
Keyword(s):  
Cost Effective ◽  
Cloud Services ◽  
Effective Bandwidth ◽  
On Demand ◽  
Bandwidth On Demand

Using SDN Technology to Enable Cost-effective Bandwidth-on-Demand for Cloud Services

2014 ◽  
Author(s):  
Robert Doverspike ◽  
George Clapp ◽  
Pierre Douyon ◽  
Douglas M. Freimuth ◽  
Krishna Gullapalli ◽  
...  
Keyword(s):  
Cost Effective ◽  
Cloud Services ◽  
Effective Bandwidth ◽  
On Demand ◽  
Bandwidth On Demand

scholarly journals VIRTUAL CIRCUITS THAT MAY BE �PERMANENT� TO MAKE M-BANKING APPLICATION AS A SUCCESS BANDWIDTH MANAGEMENT IS AN IMPORTANT ISSUE FOR ANALYSING VARIABLE SIZED PACKETS AND FRAMES

2015 ◽  
Vol 1 (10) ◽  
pp. 376
Author(s):  
Bhubneshwar Sharma
Keyword(s):  
Data Exchange ◽  
Demand Function ◽  
Cost Effective ◽  
Wireless Atm ◽  
Handover Management ◽  
Bandwidth Management ◽  
Network Location ◽  
On Demand ◽  
Virtual Circuits ◽  
Bandwidth On Demand

ATM provides functionality that is similar to bothcircuit switchingandpacket switchingnetworks: ATM usesasynchronoustime-division multiplexing, and encodes data into small, fixed-sizedpackets(ISO-OSIframes) calledcells.This differs from approaches such as theInternet ProtocolorEthernetthat use variable sized packets and frames. ATM uses aconnection-orientedmodel in which avirtual circuitmust be established between two endpoints before the actual data exchange begins. These virtual circuits may be permanent To make m-banking application a success bandwidth management is an important issue. The increased flexibility and mobility feature of wireless ATM and its bandwidth on demand function is motivating a large number of carriers towards deployment of the WATM networks. But there are certain issues which are required to be addressed in WATM. The issues are cost effective planning of network, location management and handover management

On-demand synchronous audio video telemedicine visits are cost effective

2019 ◽  
Vol 37 (5) ◽  
pp. 890-894 ◽  
Author(s):  
Garrison Nord ◽  
Kristin L. Rising ◽  
Roger A. Band ◽  
Brendan G. Carr ◽  
Judd E. Hollander
Keyword(s):  
Cost Effective ◽  
On Demand ◽  
Audio Video

scholarly journals An Open-Source Cloud-FPGA Gene Regulatory Accelerator

2021 ◽  
Author(s):  
Lucas Bragança ◽  
Jeronimo Penha ◽  
Michael Canesche ◽  
Dener Ribeiro ◽  
José Augusto M. Nacif ◽  
...  
Keyword(s):  
Open Source ◽  
Gene Regulatory Networks ◽  
High Performance ◽  
Regulatory Networks ◽  
Cloud Services ◽  
On Demand ◽  
Speed Up ◽  
Gene Regulatory ◽  
High Level ◽  
Better Than

FPGAs are suitable to speed up gene regulatory network (GRN) algorithms with high throughput and energy efficiency. In addition, virtualizing FPGA using hardware generators and cloud resources increases the computing ability to achieve on-demand accelerations across multiple users. Recently, Amazon AWS provides high-performance Cloud's FPGAs. This work proposes an open source accelerator generator for Boolean gene regulatory networks. The generator automatically creates all hardware and software pieces from a high-level GRN description. We evaluate the accelerator performance and cost for CPU, GPU, and Cloud FPGA implementations by considering six GRN models proposed in the literature. As a result, the FPGA accelerator is at least 12x faster than the best GPU accelerator. Furthermore, the FPGA reaches the best performance per dollar in cloud services, at least 5x better than the best GPU accelerator.

scholarly journals A Physician’s Perspective on What Works (and Doesn’t) for Telemedicine

2018 ◽  
Vol 1 (4) ◽  
Author(s):  
Timothy Porter
Keyword(s):  
Patient Satisfaction ◽  
Cost Effective ◽  
Standard Of Care ◽  
Increase Patient Satisfaction ◽  
On Demand ◽  
What Works ◽  
Physician’S Perspective

No abstract available. Editor’s note: As patients start to demand access to telemedicine,1 it is imperative for physicians to understand how to make these types of appointments available in their practice. Without telemedicine adoption as a standard of care, physicians run the risk of losing patients to on-demand telemedicine organizations. Through telemedicine, not only do patients get a more convenient and cost-effective experience, providers have the opportunity to grow their practice and increase patient satisfaction. In this article, Dr. Timothy Porter, a community pediatrician in Chicago, shares his perspective.

scholarly journals Integration Model between Heterogeneous Data Services in a Cloud

2021 ◽  
Vol 27 (4) ◽  
pp. 387-412
Author(s):  
Marcelo Aires Vieira ◽  
Elivaldo Lozer Fracalossi Ribeiro ◽  
Daniela Barreiro Claro ◽  
Babacar Mane
Keyword(s):  
Heterogeneous Data ◽  
Cloud Services ◽  
Test Case ◽  
Integration Model ◽  
Data Services ◽  
On Demand ◽  
Database As A Service ◽  
And Performance ◽  
Data As A Service ◽  
Integrate Data

With the growth of cloud services, many companies have begun to persist and make their data available through services such as Data as a Service (DaaS) and Database as a Service (DBaaS). The DaaS model provides on-demand data through an Application Programming Inter- face (API), while DBaaS model provides on-demand database management systems. Different data sources require efforts to integrate data from different models. These model types include unstructured, semi-structured, and structured data. Heterogeneity from DaaS and DBaaS makes it challenging to integrate data from different services. In response to this problem, we developed the Data Join (DJ) method to integrate heterogeneous DaaS and DBaaS sources. DJ was described through canonical models and incorporated into a middleware as a proof-of-concept. A test case and three experiments were performed to validate our DJ method: the first experiment tackles data from DaaS and DBaaS in isolation; the second experiment associates data from different DaaS and DBaaS through one join clause; and the third experiment integrates data from three sources (one DaaS and two DBaaS) based on different data type (relational, NoSQL, and NewSQL) through two join clauses. Our experiments evaluated the viability, functionality, integration, and performance of the DJ method. Results demonstrate that DJ method outperforms most of the related work on selecting and integrating data in a cloud environment.

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