Tech Tracking-Google Maps for contacts to drive better sales performance
| Author(s) | : | M.R.Saravanan, M.R.Saravanan, M.Shanmugam, R.Vijai Shankar, M.P Karthikeyan(ME) |
| Institution | : | Computer Science & Engineering, S.A. Engineering College, Chennai, India |
| Published In | : | Vol. 5, Issue 2 — February 2018 |
| Page No. | : | 76-80 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
A cloud reduce is composed of numerous dispensation with shared data file and integrated performances. Forexample, the Elastic Compute Cloud (EC2) provided by Amazon Web Service (AWS) and the Map service provided byGoogle can be mashed up to deliver real-time personalized driving route recommendation service. To discover qualifiedservices and compose them with guaranteed Quality of Service (QoS), we propose an integrated cloud infuse application.We use a resemblance test to achieve optimal path. This macerate method scales well with the growing number of cloud sitesinvolved in the reduce applications. Faster skyline selection, reduced formation time, dataset sharing, and resourcesintegration assures QoS over several clouds. We experiment with the Quality of Web Service (QWS) benchmark over 10,000Web services along six QoS features.
M.R.Saravanan, M.R.Saravanan, M.Shanmugam, R.Vijai Shankar, M.P Karthikeyan(ME), “Tech Tracking-Google Maps for contacts to drive better sales performance”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 2, pp. 76-80, February 2018.
