SLAs for Industrial IoT: Mind the Gap

Cloud computing and Internet of Things (IoT) are computing technologies that provide services to consumers and businesses, allowing organizations to become more agile and flexible. The potential business values that cloud consumers can achieve depend a lot on the quality of service in the provided cloud services. Therefore, ensuring the quality of service through service-level agreements (SLA) for such cloud-based services is crucial for both the service providers and service consumers. As SLA is critical for cloud deployments and wider adoption of cloud services, the management of SLA in cloud and IoT has thus become an important and essential issue. In this paper we provide an understanding of the current status and maturity level of SLA management in industrial IoT and academic efforts in this field. We also conduct a preliminary survey of current research on SLA management in order to identify open challenges and gaps that need to be addressed in future research directions. In particular, we investigate how to provide useful SLA management support adapted to the maturity level and current industrial practices, and shorten the gap between academia and industry.

[1]  Mark R. Cutkosky,et al.  Madefast: collaborative engineering over the Internet , 1996, CACM.

[2]  Barrie Sosinsky Defining Cloud Computing , 2011 .

[3]  Sylvain Frey,et al.  Self-adaptation in Collective Self-aware Computing Systems , 2017, Self-Aware Computing Systems.

[4]  Ramin Yahyapour,et al.  Service Level Agreements for Cloud Computing , 2011 .

[5]  Andrew Lumsdaine,et al.  The Value of Variance , 2016, ICPE.

[6]  R. Sturm,et al.  Foundations of Service Level Management , 2000 .

[7]  Hongyu Pei Breivold,et al.  Internet of Things for Industrial Automation -- Challenges and Technical Solutions , 2015, 2015 IEEE International Conference on Data Science and Data Intensive Systems.

[8]  Miodrag Potkonjak,et al.  Security of IoT systems: Design challenges and opportunities , 2014, 2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

[9]  Tamir Hegazy,et al.  Industrial Automation as a Cloud Service , 2015, IEEE Transactions on Parallel and Distributed Systems.

[10]  Jiafu Wan,et al.  Implementing Smart Factory of Industrie 4.0: An Outlook , 2016, Int. J. Distributed Sens. Networks.

[11]  Rogério de Lemos,et al.  Software Engineering for Self-Adaptive Systems [outcome of a Dagstuhl Seminar] , 2009, Software Engineering for Self-Adaptive Systems.

[12]  Muhammad Younas,et al.  Trends and Directions in Cloud Service Selection , 2016, 2016 IEEE Symposium on Service-Oriented System Engineering (SOSE).

[13]  Yan-You Chen,et al.  Human-robot interaction based on cloud computing infrastructure for senior companion , 2011, TENCON 2011 - 2011 IEEE Region 10 Conference.

[14]  Jiafu Wan,et al.  Security in the Internet of Things: A Review , 2012, 2012 International Conference on Computer Science and Electronics Engineering.

[15]  Rajkumar Buyya,et al.  Internet of Things: Principles and Paradigms , 2016 .

[16]  Pieter Abbeel,et al.  Image Object Label 3 D CAD Model Candidate Grasps Google Object Recognition Engine Google Cloud Storage Select Feasible Grasp with Highest Success Probability Pose EstimationCamera Robots Cloud 3 D Sensor , 2014 .

[17]  Alessandro Vittorio Papadopoulos,et al.  Design and Performance Guarantees in Cloud Computing: Challenges and Opportunities , 2015 .

[18]  Mary Shaw,et al.  Software Engineering for Self-Adaptive Systems: A Research Roadmap , 2009, Software Engineering for Self-Adaptive Systems.

[19]  Henning Trsek,et al.  Cloud computing for industrial automation systems — A comprehensive overview , 2013, 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA).

[20]  Rainer Drath,et al.  Industrie 4.0: Hit or Hype? [Industry Forum] , 2014, IEEE Industrial Electronics Magazine.

[21]  Ola Angelsmark,et al.  International Conference on Ambient Systems , Networks and Technologies ( ANT 2015 ) Calvin – Merging Cloud and IoT , 2015 .

[22]  Holger Giese,et al.  Self-adaptation for Individual Self-aware Computing Systems , 2017, Self-Aware Computing Systems.

[23]  Jay Lee,et al.  Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment , 2014 .

[24]  Cristiano André da Costa,et al.  Future directions for providing better IoT infrastructure , 2014, UbiComp Adjunct.

[25]  Manish Marwah,et al.  IoTAbench: an Internet of Things Analytics Benchmark , 2015, ICPE.

[26]  Chen Wang,et al.  Systematic Analysis of Public Cloud Service Level Agreements and Related Business Values , 2013, 2013 IEEE International Conference on Services Computing.

[27]  Gianni Ferretti,et al.  Generation of human walking paths , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[28]  Ch. Ramesh Babu,et al.  Internet of Vehicles: From Intelligent Grid to Autonomous Cars and Vehicular Clouds , 2016 .

[29]  Wu He,et al.  Internet of Things in Industries: A Survey , 2014, IEEE Transactions on Industrial Informatics.

[30]  Mohsen Guizani,et al.  Toward better horizontal integration among IoT services , 2015, IEEE Communications Magazine.

[31]  Alexandru Iosup,et al.  Benchmarking in the Cloud: What It Should, Can, and Cannot Be , 2012, TPCTC.

[32]  Dhananjay Singh,et al.  A survey of Internet-of-Things: Future vision, architecture, challenges and services , 2014, 2014 IEEE World Forum on Internet of Things (WF-IoT).

[33]  Edward A. Lee,et al.  An Interface Theory for the Internet of Things , 2015, SEFM.

[34]  Yen-Kuang Chen,et al.  Challenges and opportunities of internet of things , 2012, 17th Asia and South Pacific Design Automation Conference.

[35]  Pearl Brereton,et al.  Systematic literature reviews in software engineering - A systematic literature review , 2009, Inf. Softw. Technol..

[36]  Heiko Koziolek,et al.  Scalability and Robustness of Time-Series Databases for Cloud-Native Monitoring of Industrial Processes , 2014, 2014 IEEE 7th International Conference on Cloud Computing.