Cloud Computing. 6th International Conference, CloudComp 2015, Daejeon, South Korea, October 28-29, 2015, Proceedings

Research Article

On Providing Response Time Guarantees to a Cloud-Hosted Telemedicine Web Service

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  • @INPROCEEDINGS{10.1007/978-3-319-38904-2_24,
        author={Waqar Haider and Waheed Iqbal and Fawaz Bokhari and Faisal Bukhari},
        title={On Providing Response Time Guarantees to a Cloud-Hosted Telemedicine Web Service},
        proceedings={Cloud Computing. 6th International Conference, CloudComp 2015, Daejeon, South Korea, October 28-29, 2015, Proceedings},
        proceedings_a={CLOUDCOMP},
        year={2016},
        month={5},
        keywords={Cloud computing Amazon EC2 Telemedicine Auto-scaling Resource allocation Web services},
        doi={10.1007/978-3-319-38904-2_24}
    }
    
  • Waqar Haider
    Waheed Iqbal
    Fawaz Bokhari
    Faisal Bukhari
    Year: 2016
    On Providing Response Time Guarantees to a Cloud-Hosted Telemedicine Web Service
    CLOUDCOMP
    Springer
    DOI: 10.1007/978-3-319-38904-2_24
Waqar Haider1,*, Waheed Iqbal1,*, Fawaz Bokhari1,*, Faisal Bukhari1,*
  • 1: University of the Punjab
*Contact email: mscsf13m024@pucit.edu.pk.edu, waheed.iqbal@pucit.edu.pk.edu, fawaz@pucit.edu.pk.edu, faisal.bukhari@pucit.edu.pk.edu

Abstract

Traditionally healthcare services are deployed on dedicated physical systems and the functionalities are limited to the local network. Mostly, dedicated physical systems are either under-provisioned or over-provisioned. Cloud Computing technology addresses these limitations by dynamically allocating required resources to applications being hosted on such cloud platforms. In this paper, we study the viability of hosting a telemedicine service over Amazon Elastic Compute Cloud (EC2); a public cloud architecture. In particular, we study the performance of our telemedicine service under linearly increasing workloads by using multiple hosting options available in Amazon EC2. The performance analysis of our telemedicine service is based on fulfilling the specific number of requests per seconds under constraint response times. We find that dynamic resource provisioning on the web tier using medium type instances gives better results compared to static allocation using large and xlarge type instances without incurring any bottleneck issues, thereby, making it a feasible solution for telemedicine service providers.