research-article

Adaptive middleware design for CPS: Considerations on the OS, resource managers, and the network run-time

Authors:

Marisol García-Valls,

Roberto BaldoniAuthors Info & Claims

ARM 2015: Proceedings of the 14th International Workshop on Adaptive and Reflective Middleware

Article No.: 3, Pages 1 - 6

https://doi.org/10.1145/2834965.2834968

Published: 07 December 2015 Publication History

Abstract

Timely operation is a key factor in CPS that is challenged by their inherent distributed nature. The variability introduced by the network and its unpredictable effects have to be handled. Thus, a vertical understanding of the involved software layers is needed at the levels of the operating system, the networking software and the middleware. Typically, middleware has been described in a quite independent way from the underlying operating system kernel and the network software. That is not appropriate in a CPS as some degree of control over the resource assignment is expected as a means to ensure timeliness. In this paper, we look into the details of middleware in relation to its sorrounding software layers to provide a middleware design, namely OMA-Cy, suiting the needs of CPS. We target subsystems where timing deadlines are not hard nor safety critical, but require quality of service guarantees such that resource management techniques are applied both at the individual nodes as well as in the distributed communication.

References

[1]

K. Kim, et al. Cyber Physical Systems: A Perspective at the Centennial. Proc. of IEEE, vol. 100(13). May 2012.

[2]

M. García Valls, et al. Challenges in real-time virtualization and predictable cloud computing. Journal of Systems Architecture, vol. 60(9). Oct 2014.

Digital Library

[3]

R. Schantz, et al. Towards adaptive and reflective middleware for network-centric combat systems. Encyc. of Software Engineering. Wiley&Sons. 2002.

[4]

M. García-Valls, et al. A Dual-Band Priority Assignment Algorithm for QoS Resource Management. Future Generation Computer Systems, vol. 28(6). 2012.

Digital Library

[5]

D. Serpanos, T. Wolf. Architecture of Network Systems. Morgan Kaufmann Publishers. 2011.

Digital Library

[6]

M. García-Valls, et al. Time-sensitive adaptation in CPS through run-time configuration generation and verification. IEEE COMPSAC. Sweden. July 2014.

[7]

M. García-Valls, et al. Extending the verification capabilities of middleware for reliable distributed self-adaptive systems. Proc. IEEE Conference on Industrial Informatics (INDIN). Brazil. July 2014.

[8]

J. Nieh, M. Lam. A SMART scheduler for multimedia applications ACM Tran Comp Sys, vol. 21(2). 2003.

Digital Library

[9]

M. García-Valls, et al. An Architecture of a Quality of Service Resource Manager for Flexible Multimedia Embedded Systems. Proc. 3rdWorkshop on Software Engineering and Middleware. LNCS vol. 2596. 2003.

Digital Library

[10]

OMG.: Common Object Request Broker Architecture (CORBA) Specification, Version 3.1. Interfaces. 2008.

[11]

D. Schmidt, et al. C++ network programming: resolving complexity with ACE and patterns. Addison-Wesley. 2001.

Digital Library

[12]

D. Schmidt, et al. An overview of the real-time CORBA specification. IEEE Computer Maganize. 2000.

Digital Library

[13]

G. Bollella. J. Gosling. The Real-Time Specification for Java. Computer. June 2000.

Digital Library

[14]

Sun Microsystems. Java™ Remote Method Invocation Specification. Revision 1.7, Java™ 2 SDK, standard edition, v1.3.0. December 1999.

[15]

D. C. Sharp. Reducing avionics software cost through component based product line development. Proc. of 17th AIAA/IEEE/SAE Digital Avionics Systems Conference (DASC). Bellvue, WA, USA. April 1998.

[16]

A. L. Carreton, et al. MORENA: A middleware for programming NFC-Enabled Android Applications as Distributed Object-Oriented Programs. Proc. of ACM Middleware, LNCS. vol 7662, pp. 61--80. 2012.

Digital Library

[17]

R. Martins, et al. Stheno, a real-time fault-tolerant P2P middleware platform for light-train systems. Proc. of 28th ACM Symposium on Applied Computing (SAC). 2013.

Digital Library

[18]

J. Oliveira, J. Pereira. Experience with a middleware infrastructure for service oriented finantial applications. Proc. 28th ACM SAC. 2013.

Digital Library

[19]

OMG.: A Data Distribution Service for Real-time Systems Version 1.2. Real-Time Systems. (2007)

[20]

ZeroC Inc. The Internet Communications Engine. http://www.zeroc.com/ice.html (on-line). 2013.

[21]

N. Deakin. JSR 343: Java™ Message Service 2.0. Oracle. 2013.

[22]

L. Richardson, S. Ruby. RESTful web service. O'Reilley Media. January 2011.

Digital Library

[23]

OASIS. Message Queueing Telemetry Transport (MQTT), v3.1.1. 2014.

[24]

ISO/IEC ITTF. OASIS AMQP1.0 -- Advanced Message Queuing Protocol (AMQP), v1.0. 2014.

[25]

M. García-Valls, et al. iLAND: An enhanced middleware for real-time reconfiguration of service oriented distributed real-time systems. IEEE Transactions on Industrial Informatics, vol. 9(1). 2013.

[26]

M. García-Valls, et al. Low complexity reconfiguration for data-intensive service-oriented applications. Future Generation Computer Systems, vol.37. July 2014.

Digital Library

[27]

K. An, et al. A cloud middleware for assuring performance and high availability of soft real-time applications. J Systems Architecture, vol. 60(9). 2014.

Digital Library

[28]

H. Cui, et al. Parrot: a practical runtime for deterministic, stable, and reliable threads. Proc. 24th ACM SOSP. 2013.

Digital Library

[29]

F.M. David et al. CuriOS: Improving reliability through operating system structure. Proc. 8th USENIX OSDI. 2008.

Digital Library

[30]

R. Baldoni et al. On-line failure prediction in safety-critical systems. Future Generation Computer Systems, vol.45. 2015.

Digital Library

[31]

J. Simao, et al. Jano: location-privacy enforcement in mobile and pervasive environments through declarative policies. J Internet Services Applications, vol.3(3). 2012.

Cited By

Feist MBrinkschulte UPacher M(2024)The Adaptation Mechanism of Chameleon - A Comprehensive Adaptive Middleware for Mixed-Critical Cyber-Physical Networks2024 IEEE 27th International Symposium on Real-Time Distributed Computing (ISORC)10.1109/ISORC61049.2024.10551345(1-10)Online publication date: 22-May-2024
https://doi.org/10.1109/ISORC61049.2024.10551345
Sidhanta SChokwitthaya CZhu YMukhopadhyay S(2024)QACDes: QoS-aware context-sensitive design of cyber-physical systemsScientific Reports10.1038/s41598-024-69371-x14:1Online publication date: 16-Aug-2024
https://doi.org/10.1038/s41598-024-69371-x
García-Valls MChirivella-Ciruelos A(2024)CoTwinFuture Generation Computer Systems10.1016/j.future.2024.03.044157:C(408-421)Online publication date: 18-Jul-2024
https://dl.acm.org/doi/10.1016/j.future.2024.03.044
Show More Cited By

Index Terms

Adaptive middleware design for CPS: Considerations on the OS, resource managers, and the network run-time
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
2. Software and its engineering
  1. Software creation and management
    1. Designing software
  2. Software organization and properties
    1. Contextual software domains
      1. Operating systems
    2. Software system structures
      1. Distributed systems organizing principles

Recommendations

Adjusting middleware knobs to assess scalability limits of distributed cyber-physical systems

The traditional development paradigm for time-sensitive distributed systems (and even more for real-time domains) has typically relied on unflexible low-level schemes; these have been based on (also) low-level programming of improved medium access ...
A retrospective on the design of the GOPI middleware platform

This paper offers a high-level retrospective overview of the GOPI middleware platform which is the outcome of a three-year project aimed at the development of generic, configurable and extensible middleware. GOPI has a clearly defined modular structure, ...
Issues in the Design of Adaptive Middleware Load Balancing

Load balancing middleware is used extensively to improve scalability and overall system throughput in distributed systems. Many load balancing middleware services are simplistic, however, since they are geared only for specic use-cases and environments. ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

ARM 2015: Proceedings of the 14th International Workshop on Adaptive and Reflective Middleware

December 2015

55 pages

ISBN:9781450337335

DOI:10.1145/2834965

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

ACM: Association for Computing Machinery
USENIX Assoc: USENIX Assoc
IFIP: International Federation for Information Processing

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 December 2015

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Funding Sources

Conference

Middleware '15

Sponsor:

ACM
USENIX Assoc
IFIP

Middleware '15: 16th International Middleware Conference

December 7 - 11, 2015

BC, Vancouver, Canada

Acceptance Rates

ARM 2015 Paper Acceptance Rate 7 of 11 submissions, 64%;

Overall Acceptance Rate 15 of 21 submissions, 71%

Upcoming Conference

MIDDLEWARE '25

26th International Middleware Conference

December 15 - 19, 2025

Nashville , TN , USA

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

31
Total Citations
View Citations
260
Total Downloads

Downloads (Last 12 months)6
Downloads (Last 6 weeks)1

Reflects downloads up to 05 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Feist MBrinkschulte UPacher M(2024)The Adaptation Mechanism of Chameleon - A Comprehensive Adaptive Middleware for Mixed-Critical Cyber-Physical Networks2024 IEEE 27th International Symposium on Real-Time Distributed Computing (ISORC)10.1109/ISORC61049.2024.10551345(1-10)Online publication date: 22-May-2024
https://doi.org/10.1109/ISORC61049.2024.10551345
Sidhanta SChokwitthaya CZhu YMukhopadhyay S(2024)QACDes: QoS-aware context-sensitive design of cyber-physical systemsScientific Reports10.1038/s41598-024-69371-x14:1Online publication date: 16-Aug-2024
https://doi.org/10.1038/s41598-024-69371-x
García-Valls MChirivella-Ciruelos A(2024)CoTwinFuture Generation Computer Systems10.1016/j.future.2024.03.044157:C(408-421)Online publication date: 18-Jul-2024
https://dl.acm.org/doi/10.1016/j.future.2024.03.044
Freitas NRocha AM-Oliveira FAlemão DBarata J(2024)Reconfigurable Framework for Data Extraction Using Interoperable Brokers in ManufacturingSN Computer Science10.1007/s42979-024-03124-55:7Online publication date: 16-Aug-2024
https://dl.acm.org/doi/10.1007/s42979-024-03124-5
Feist MPacher MBrinkschulte U(2023)Evaluating the Comprehensive Adaptive Chameleon Middleware for Mixed-Critical Cyber-Physical NetworksArchitecture of Computing Systems10.1007/978-3-031-42785-5_14(200-214)Online publication date: 26-Aug-2023
https://doi.org/10.1007/978-3-031-42785-5_14
Freitas NRocha AM-Oliveira FAlemão DBarata J(2023)Reconfigurable Framework for Data Extraction Using Interoperable Brokers in ManufacturingTechnological Innovation for Connected Cyber Physical Spaces10.1007/978-3-031-36007-7_9(122-134)Online publication date: 25-Jun-2023
https://doi.org/10.1007/978-3-031-36007-7_9
Feist MBecker C(2022)A Comprehensive Approach of a Middleware for Adaptive Mixed-Critical Cyber-Physical Networking2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)10.1109/PerComWorkshops53856.2022.9767312(206-211)Online publication date: 21-Mar-2022
https://doi.org/10.1109/PerComWorkshops53856.2022.9767312
Taconet CBatista TBorges PBouloukakis GCavalcante EChabridon SConan DDesprats TMuñante D(2022)Middleware Supporting PIS: Requirements, Solutions, and ChallengesThe Evolution of Pervasive Information Systems10.1007/978-3-031-18176-4_4(65-97)Online publication date: 20-Sep-2022
https://doi.org/10.1007/978-3-031-18176-4_4
Bunting MBhadani RSprinkle J(2021)LibpandaProceedings of the Workshop on Data-Driven and Intelligent Cyber-Physical Systems10.1145/3459609.3460529(32-40)Online publication date: 18-May-2021
https://dl.acm.org/doi/10.1145/3459609.3460529
Nikkhah SGeilen MGoswami DKoedam MNelson AGoossens K(2021)A Deployment Framework for Quality-Sensitive Applications in Resource-Constrained Dynamic Environments2021 24th Euromicro Conference on Digital System Design (DSD)10.1109/DSD53832.2021.00042(212-220)Online publication date: Sep-2021
https://doi.org/10.1109/DSD53832.2021.00042
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten