Title :
rtGovOps: A Runtime Framework for Governance in Large-Scale Software-Defined IoT Cloud Systems
Author :
Nastic, Stefan ; Vogler, Michael ; Inzinger, Christian ; Hong-Linh Truong ; Dustdar, Schahram
Author_Institution :
Distrib. Syst. Group, Vienna Univ. of Technol., Vienna, Austria
fDate :
March 30 2015-April 3 2015
Abstract :
The ongoing convergence of cloud computing and the IoT gives rise to the proliferation of diverse, large-scale IoT and mobile cloud systems. Such novel IoT cloud systems offer numerous advantages for all involved stakeholders. However, due to scale, complexity, and inherent geographical distribution of such systems, governing new IoT cloud resources poses numerous challenges. In this paper we introduce rtGovOps, a novel framework for on-demand runtime operational governance of software-defined IoT cloud systems. To illustrate the feasibility of our framework and its practical applicability to implement and execute operational governance processes in large-scale software-defined IoT cloud system, we evaluate our approach using a real-world case study on managing fleets of electric vehicles.
Keywords :
Internet of Things; cloud computing; IoT convergence; cloud computing convergence; electric vehicle fleet management; geographical distribution; large-scale software-defined IoT cloud systems; mobile cloud systems; on-demand runtime operational governance; rtGovOps; Cloud computing; Logic gates; Mobile communication; Protocols; Runtime; Vehicle dynamics; Vehicles;
Conference_Titel :
Mobile Cloud Computing, Services, and Engineering (MobileCloud), 2015 3rd IEEE International Conference on
Conference_Location :
San Francisco, CA
DOI :
10.1109/MobileCloud.2015.38