You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

A Systematic Mapping Study on Real-time Cloud Services

Publication Type:

Conference/Workshop Paper

Venue:

Quality Assurance in the Context of Cloud Computing


Abstract

Cloud computing is relatively a new technique to host and use the services and applications from the internet. Although it offers a multitude of advantages like scalability, low operating cost, accessibility and maintainability, etc., they are often not utilized to the fullest due to the lack of timeliness property associated with the cloud. Cloud services are mainly designed to maximize throughput and utilization of resources and hence incorporating predictable execution time properties in to the cloud is arduous. Nevertheless, cloud still remains a highly attractive platform for hosting real-time applications and services owing to features like elasticity, multi-tenancy, ability to survive hardware failures, virtualization support and abstraction layer support which provides flexibility and portability. In order for real-time safety-critical applications to exploit the potential of cloud computing, it is essential to ensure the predictable real-time behavior of cloud services. In this paper, we perform a systematic mapping study on real-time cloud services to identify the current research directions and potential research gaps. Our study focuses on analyzing the current architectures and software techniques that are available at present to incorporate real-time property of the cloud services. We also aim at investigating the current challenges involved in realizing a predictable real-time behavior of cloud services.

Bibtex

@inproceedings{Danielsson5310,
author = {Jakob Danielsson and Nandinbaatar Tsog and Ashalatha Kunnappilly},
title = {A Systematic Mapping Study on Real-time Cloud Services},
month = {December},
year = {2018},
booktitle = {Quality Assurance in the Context of Cloud Computing},
url = {http://www.es.mdh.se/publications/5310-}
}