SSICLOPS - Developing the cloud infrastructure for tomorrow

« The Scalable and Secure Infrastructures for Cloud Operations (SSICLOPS, pronounced “cyclops”) project focuses on techniques for the management of federated private cloud infrastructures, in particular cloud networking techniques within software-defined data centres and across wide-area networks. [...]

SSICLOPS will empower enterprises to create and operate high-performance private cloud infrastructure that allows flexible scaling through federation with other private clouds without compromising on their service level and security requirements. SSICLOPS federation will support the efficient integration of clouds, no matter if they are geographically collocated or spread out, belong to the same or different administrative entities or jurisdictions: in all cases, SSICLOPS will deliver maximum performance for inter-cloud communication, enforce legal and security constraints, and minimize the overall resource consumption. In such a federation, individual enterprises will be able to dynamically scale in/out their private cloud services: because they dynamically offer own spare resources (when available) and take in resources from others when needed. This allows maximizing own infrastructure utilization while minimizing excess capacity needs for each federation member.

SSICLOPS-powered private clouds will offer fine-grained monitoring and tuning capabilities along with workload planning and optimization tools to maximize the performance across a broad spectrum of workloads and across a wide operational scale, as we will demonstrate using four highly diverse use cases. The SSICLOPS solution will be based upon state-of-the-art open source products used broadly in private cloud deployments today to provide enterprises with full control over their own deployment. To realize this vision, SSICLOPS targets the following concrete objectives:

  1. To build a framework for on-demand and pro-active scale-in/out in private clouds. This framework encompasses a control pane, a data plane, and tools for supporting application development.
  2. To provide models characterizing the static and dynamic properties of workloads and topologies of federated clouds.
  3. To provide means for specifying constraints for workloads and their data.
  4. To develop an efficient and secure intra-cloud dataplane.
  5. To develop a hardened dataplane tailored to inter-cloud transport and transport towards clients
  6. To provide different application programming interfaces (API).
  7. To offer tools for measuring the performance of cloud systems.
  8. To validate the SSICLOPS results in four different scenarios. The scenarios are chosen to reflect a broad spectrum of industry and scientific use cases: Using an in-memory database, Performing high-performance computing tasks for high-energy physics workloads, Instantiating efficient and secure cloud bursting, and Network Function Virtualization.
  9. To contribute the project results as open source to the standard platforms.
  10. To contribute the technical designs to the appropriate standardization bodies and industry forums.
  11. To carry the project results into the (academic) community through publications in renowned venues for the respective tasks and to introduce the concepts, tools and open source systems broadly into academic education of future engineers and scientists.
  12. To demonstrate the commercial value. » *

More information on this project and our project partners can be found on https://ssiclops.eu/.

Consortium

The SSICLOPS Consortium consists of several European partners with expertise in various areas of communication and cloud computing. In SSICLOPS, we bundle this expertise to develop the cloud infrastructure of tomorrow.

  • Aalto University
  • Deutsche Telekom
  • F-Secure
  • Hasso Plattner Institute
  • Helsinki Institute of Physics
  • Martel Consulting
  • NEC
  • NetApp
  • Orange Polska
  • RWTH Aachen University
  • University of Cambridge
  • University Politehnica of Bucharest
  • Technical University of Munich
  • University of Pisa 

Funding

SSICLOPS project is funded by the EU's Horizon2020 programme under grant agreement no. 644866.

Researchers

 

Students

  • currently none

 

 

Alumni

  • Florian Schmidt (Researcher)

 

 

Contact

    For questions and inquiries regarding the SSICLOPS project, please contact:

    Oliver Hohlfeld
    Team Leader of the Network Architectures Research Group

    E-Mail: oliver.hohlfeld[[at]]comsys.rwth-aachen.de

SSICLOPS Publications

References
6.
Jens Hiller, Mael Kimmerlin, Max Plauth, Seppo Heikkila, Stefan Klauck, Ville Lindfors, Felix Eberhardt, Dariusz Bursztynowski, Jesus Llorente Santos, Oliver Hohlfeld and Klaus Wehrle
Proceedings of the 2018 IEEE International Conference on Cloud Engineering (IC2E 2018), Orlando, Florida, USA, page 241-249.
Publisher: IEEE,
April 2018
ISBN: 978-1-5386-5008-0
5.
Martin Henze, Mary Peyton Sanford and Oliver Hohlfeld
Proceedings of the 2017 Network Traffic Measurement and Analysis Conference (TMA 2017), Dublin, Ireland
Publisher: IEEE / IFIP,
June 2017
ISBN: 978-3-901882-95-1
4.
Martin Henze, Roman Matzutt, Jens Hiller, Erik Mühmer, Jan Henrik Ziegeldorf, Johannes van der Giet and Klaus Wehrle
Proceedings of the 2017 IEEE International Conference on Cloud Engineering (IC2E 2017), Vancouver, BC, Canada, page 252-258.
Publisher: IEEE,
April 2017
ISBN: 978-1-5090-5817-4
3.
Proceedings of the 15th Workshop on Privacy in the Electronic Society (WPES), co-located with the 23rd ACM Conference on Computer and Communications Security (CCS), Vienna, Austria, page 99-110.
Publisher: ACM,
October 2016
ISBN: 978-1-4503-4569-9
2.
Proceedings of the Second International Workshop on Legal and Technical Issues in Cloud Computing and Cloud-Supported Internet of Things (CLaw 2016), co-located with the 2016 IEEE International Conference on Cloud Engineering (IC2E 2016), Berlin, Germany, page 130-135.
Publisher: IEEE,
April 2016
ISBN: 978-1-5090-3684-4
1.
Proceedings of the 43rd ACM SIGCOMM Conference (SIGCOMM '15), London, United Kingdom
Publisher: ACM,
August 2015
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