IEEE Communications Society (ComSoc)
Technical Committee on Communications Quality & Reliability (CQR)

Emerging Technology Reliability Roundtable 2017
Monday, July 3, 2017

In Conjunction with
IEEE NetSoft 2017

The Academy of Sciences, Bologna, Italy
The Ulysses Room

Scope of the Roundtable

  • Discuss and identify the RAS (Reliability, Availability and Serviceability) challenges, requirements and methodologies in the emerging technology areas like the Cloud Computing, Wireless/Mobility, NFV (Network Functions Virtualization), SDN
    (Software Defined Networking), or similar large-scale distributed and virtualization systems.
  • Discuss the RAS requirements and technologies for mission-critical industries (e.g., airborne systems, railway communication systems, the banking and financial communication systems, etc.), with the goal to promote the interindustry
    sharing of related ideas and experiences.
  • Identify potential directions for resolving identified issues and propose possible solution

ETR-RT Roundtable Summary of Findings_final


[#00] Spilios Makris – Introduction

[#01] David Lu – Multi-Dimensional Challenges in Open & Agile Software Ecosystem

[#02] Feng Liu – Towards NFV Reliability and Beyond

[#03] Prosper Chemouil – AI Techniques for Reliability and Performance in Softwarized Networks

[#04] Kelly Krick – Improved Reliability for NFVI

[#05] Didier Colle – Flexible Softwarized Networks: A RAS Perspective

[#06] Massimo Tornatore – New Reliability Strategies for Network Function

[#07] Spilios Makris – IEEE P1917.1 Working Group on SDN/NFV Reliability: Overview, Issues and Next Step

[#08] Antonio Manzalini – Why We Have to Embrace Complexity for Reliability, Availability and Serviceability of Future Networks and 5G 

[#09] Dimitri Papadimitriou – Handling of Uncertainty for Reliable Information-driven Networks

[#10] Dominic Schupke – Options for Reliable Wireless On-Board Communications in Aerospace

[#11] Emmanuel Dotaro – Towards Mission Critical Support in 5G Slicing

[#12] Alex Galis – Key Challenges – Reliability, Availability and Serviceability in Network Slicing


David Lu, Vice President, D2 Platform and Systems Development, Technology Development, AT&T Services, Inc. USA

David, Vice President – Business Solutions Development, is responsible for Global Service Assurance, Network Fault and Rule Based Automation Platforms, Network Performance/Traffic/Capacity/Testing Management Platforms, Managed Services Platforms, and Field Operation Dispatching at AT&T. He leads an organization with more than 3,000 people across the globe. David is a well-respected leader in software architecture and engineering, network performance and traffic management, business solutions, large DB and big data implementation/mining/analytics, software reliability and quality, and network operations process engineering. Since joining AT&T Bell Labs in 1987, he has served in various leadership positions at AT&T. He holds 35 patents and has frequently appeared as a guest speaker at technical and leadership seminars and conferences throughout the world. He received numerous industry awards including the 2015 Chairman’s Award from IEEE Communication Society for Network and Systems Quality and Reliability. He was admitted to the world renowned Shanghai Conservatory of Music but came to US to complete his college. He has an undergraduate degree in music, majoring in cello performance and graduate degree in Computer Science.

TITLE: Multi-Dimensional Challenges in Open & Agile Software Ecosystem

ABSTRACT: The emerging technology is changing communication network and system in an unprecedented pace and drive the new ecosystem with the following characteristics: open, agile, software defined, virtual, data powered, highly distributed (module powered by API and microservices), highly automated, and highly secure.  This disruptive model presents both enormous opportunities as well as challenges.  The opportunity offers better ETE service reliability than each components while challenges the researchers and engineers of reliability with multi-dimensional risks such as software resiliency over the design and architecture of such an ecosystem.  A typical well-defined and self-confined device reliability challenge now becomes a challenge for both individual software components as well as the overall open and distributed software service chain.  The reliability model extends from device to an ETE service view, multi-layer, and multi-disciplinary model where architecture design, quality and change management in an agile development/deployment mode, real time fault and performance management automation powered by new generation of data analytics, service controls, highly automated flow orchestration, fraud detection, cyber-attack prevention in an open environment, all fully integrated to provide the desired reliability.  The briefing will also attempt to highlight two specific areas, microservices and Linux Foundation’s ONAP project, and the implications to reliability challenges.


Antonio Manzalini, Senior Manager, Telecom Italia Mobile, Italy

Antonio Manzalini received the M. Sc. degree in electronic engineering from the Politecnico of Turin (Italy) and the Ph.D on Computer Networks from Télécom SudParis and Université Pierre & Marie Curie – Sorbonne Universités (France). In 1990 he joined Telecom Italia Lab. He started with RT&D activities on technologies for transport networks. He was active in the ITU standardization as Rapporteur (1996-2000) of two ITU-T Questions in charge of developing Standards on transport networks. He has been actively involved in several EURESCOM and European Project. He run as Project Manager (2000-2004) the following two project on innovative transport and networking technologies: FP5 IST Project LION, FP6 IST Project NOBEL. In 2003 he was appointed as member of the Scientific Committee of CTTC (Centre Tecnològic de Telecomunicacions de Catalunya). On
2006 he has been appointed Project Leader of the FP6 FET ICT Project CASCADAS. In 2008 he has been awarded with the International Certification of Project Manager by PMI. He was General Chair of the European Conference on Networks and Communications (EuCNC2013). He run as Project Leader in 2013 and 2015 two EIT-Digital projects on SDN and NFV. He has been awarded with six patents on networking and services systems and methods. He was author of a book on synchronization and his results have been published in more than 130 of papers and publications. He is Senior Manager at the Strategy & Innovation Dept. (Future Centre) of Telecom Italia Mobile. His interests are in the areas management/control/orchestration of SDN and NFV, for 5G future service scenarios. Since 2013, he is co-Chair of the IEEE initiative on SDN and co-Chair of the IEEE SDN-NFV Com. Soc. Subcommittee.
Specialties: Future Internet, 5G, Software Defined Networks, Network Function Virtualization, Self-Management, Autonomic-Cognitive Networking,
Industrial Mathematics for new business models, Quantum Mechanics for A.I.

TITLE:  Why We Have to Embrace Complexity for Reliability, Availability and Serviceability of Future Networks and 5G

ABSTRACT:  The decoupling of software architectures from hardware infrastructure (SDN) and the virtualization of resources and functions (NFV) are opening several new and intertwined challenges for future networks: one of them is “Complexity”, a systemic challenge. In fact, future 5G infrastructures will assume the form of extended and distributed execution and communication environments—from fog resources (up to the smart things and terminals) to edge- (e.g., network points of presence and small/medium-sized data centers), to cloud computing (e.g., big data centers) and across a transparent and pervasive fixed-radio connectivity. On top of the 5G infrastructures will reverberate a boom of network, cloud services and user applications, enabling a scenario of Everything -as-a-service, where everything will be an instrument to provide and consume ICT services and data. So, Future Networks and 5G will be like Complex Systems of Systems. It is a commonplace conclusion in sciences today that higher order phenomena cannot be directly derived from lower order systems: emerging properties and dominant characteristics in complex systems come from the interactions between its entities, rather than from the properties of a single entity in isolation. In the talk, it is argued that Complexity management should be embraced for meeting the requirements of Reliability, Availability and Serviceability of Future Networks and 5G.


Prosper Chemouil, Research Director, Orange Labs, France

Prosper Chemouil received the M. Sc. and Ph. D. degrees in control theory from Ecole Central de Nantes, in 1976 and 1978 respectively.  He is currently research director at Orange Labs and his research interests are with the design and management of Future Networks and Technologies and their impact on network architecture, traffic engineering and control, and performance.  He has recently focused on network softwarization and cognitive management.  Since October 2016, he has become co-chair of the IEEE SDN Initiative.  Prosper has served as board member, associate and guest editor of various Journals including IEEE Communications Magazine, IEEE TNSM and IEEE Networks, and Annals of Telecommunications.  Within the IEEE SDN Initiative, he has launched in 2015 the IEEE International Conference on Network Softwarization and is chairman of its steering committee.  He has been involved as General or TPC co-chair in many events and he is the General Co-Chair of the 2017 IFIP/IEEE Symposium on Integrated Management held in May 2017 in Lisbon, Portugal.  Nominated as French Senior Engineer of the Year in 1995, Prosper has received several awards such as the Blondel Medal (1996), the Ampere Medal (2003), the Salah Aidarous Memorial Award (2014) and the Arne Jensen Lifetime Achievement Award (2015).  He is a Fellow of the IEEE (2003) and the Electrical and Electronical Society of France (SEE).

TITLE:  AI Techniques for Reliability and Performance in Softwarized Networks

ABSTRACT: The emerging Software-Defined Networking (SDN) and Network Functions Virtualization (NFV) paradigms are accelerating the transformation of proprietary and static traditional networks towards open and programmable networks composed dynamically.  SDN builds programmable networks through abstractions, open APIs (northbound and southbound) and the separation of control and data planes.  NFV targets the virtualization of network functions and aims at reducing vendor lock-in and bringing agility in the services and resources lifecycle operation and management.  This evolution and new requirements call for efficient SLA enforcement and management.  Guaranteeing SLAs and developing means to detect SLA and SLO violations in monitored virtualized network functions become major concerns for networks and services providers.  SLA management for the combined and joint use of SDN, NFV and clouds has hardly been addressed so far.  New approaches are needed to meet changing SLA and SLO management procedures.  Recently AI approaches have been revisited to address network performance issues, due to huge progress in such techniques.  The goal and proposed approach consist in computing and processing in real time the Key Performance Indicators (KPIs) and SLOs to drive predictive models capable of learning and pointing out possible SLO breaches.  The talk will present two different neural networks solutions that can be used for addressing SLA management.  Other challenges like anomaly detection may also be addressed using these techniques and will be mentioned in the context of a European collaborative project (CogNet) aiming at developing a common Cognitive Engine.  This engine is developed so as to accommodate using a single architecture various methods to address different challenges and use cases.


Dominic Schupke, Researcher Wireless Communications, Airbus, Germany

Dominic A. Schupke is with Airbus in Munich, Germany, working in the area of research and innovations for Wireless Communications.  Prior to that he was with NSN, Siemens, and the Institute of Communication Networks at Munich University of Technology (TUM).  He received his Dipl.-Ing. degree from RWTH Aachen in 1998 and his Dr.-Ing. degree from TUM in 2004. He has over 15 years experience in the area of communication networks, especially their design and optimization.  Since April 2009 he has taught the course Network Planning at TUM.  He is author or co-author of more than 120 journal and conference papers.  His research interests include network architectures and protocols, routing, recovery methods, availability analysis, critical infrastructures, security, virtualization, network optimization, and network planning.  Dominic is Senior Member of IEEE, and member of Comsoc, VDE/ITG, and VDI.

TITLE: Options for Reliable Wireless On-Board Communications in Aerospace

ABSTRACT: After summarizing current trends in aerospace, the presentation elaborates on wireless communications with a focus on networks on board of aircraft and spacecraft, highlighting its benefits in comparison with wired realizations. Several options for reliable wireless transmission are discussed, including Wireless Avionics Intra-Communications (WAIC) and the next mobile network generation 5G. Some related aspects of air-to-ground communications are considered as well.


Emmanuel Dotaro, Head of ICT & Security labs at Thales Secure Communications & Information Systems, France

Emmanuel is also leading the Network of Experts in communications across the Thales group.  He received an M.S. degree in Computer Science from the University of Versailles, France in 1996.  He was three years with the Institut National des Telecommunications Performance Evaluation lab while holding a teaching position at the University of Versailles.   He joined in 1999 the Alcatel Research and Innovation lab at Marcoussis, France.  He directed the research on networking topics at Bell Labs including Packet Transport Infrastructure and Semantic and Autonomic Technologies.  He joined Thales in 2009 as director of innovation for C4I systems and is now leading ICT and Security labs.  He holds more than 30 papers as author or co-author as well as more than 30 patents in the ICT field.

Emmanuel is at the initiative, contributor or leader of various major European and national collaborative research projects.  He is serving at various conference or journal Technical Committees as well as regional or national clusters of the digital ecosystem.  He is Board member of the 5G-Infrastructure Association and Partnership-Board member of the European Cyber Security Organization as elected industry representative for both European 5G and Cyber Security contractual Public Private Partnerships.  His current research interests are network softwarization, radio and mobile networks, cloud brokering, Security as a service, Software Defined Security for enforcement in 5G and IoT systems as well as detection and remediation stages.


Feng Liu, PhD, Chief Architect of RAS Team, Huawei European Research Institute, Germany

Dr. Liu joined Huawei European Research Institute in 2014 as a senior researcher, since then he has been leading a team of researchers and scientists working on reliability and high availability challenges posed by the digital transformation and cloudification of telecom services.  His research interests include cross layer fault management in virtualized environments such as NFV and SDN, design and implementation of machine learning and other machine intelligence algorithms and methods for autonomous system, etc.  He is also an active contributor to open source efforts such as OpNFV, OpenStack and Linux Communities.  Before joining Huawei, he was a senior researcher and member of Leibniz Supercomputing Centre of the Bavarian Academy of Sciences (BadW, Bayerische Akademie der Wissenschaften) in Munich, Germany.  His contributions and research results in management of high speed communication networks have been successfully implemented and integrated to diverse projects worldwide.  To serve the general research communities, he also regularly serves as reviewer and TCP member of multiple IEEE/SCM conferences and journals.  He obtained his PhD (Doctor rerum naturalium) in Computer Science from Ludwig-Maximilians-University of Munich, Germany and his Master of Science from Technical University of Clausthal, Germany.

TITLE: Towards NFV Reliability and Beyond

ABSTRACT: Telecom industry has been undergoing a major paradigm shift from dedicated silo based solution to virtualized open systems called Network Function Virtualization (NFV).  This era obviously has impacts on the reliability aspect of telecom services.  In this talk, we discuss reliability challenges posed by NFV and  telecom softwarization in general.  Exemplarily, we will talk about intelligent management based on self-* properties and cross-layer reliability issue for NFV.  Additionally, we showcase a few successful endeavors that we have been done to tackle the discussed issues.  Beyond technological aspects, we believe solving reliability challenges of NFV requires open collaboration and innovation in a new way, to illustrate our ideas, examples of our Joint RAS Labs and Huawei’s contribution for reliability in open source community will be given.  Finally this talk is closed by open discussions and exchanges of ideas.  We hope this talk will be more than a monologue, fresh and new perspective of views from audience and discussions are more than welcome during and after the talk.


Dimitri Papadimitriou, Senior Researcher, Nokia Bell Labs, Belgium

Dimitri Papadimitriou started at Alcatel in 2000 where he worked on multi-layer traffic-engineering research for the Corporate Research Center.  In 2003, he joined the Research & Innovation Department dedicated to distributed network control and routing algorithmic. Since 2007, he works as Senior Researcher at Alcatel-Lucent Bell Labs (now, Nokia Bell Labs since 2016) in the Network Algorithmic Analytics Control and Security Research Lab.  His main research interests include computational and network optimization, mathematical programming as well as optimization under uncertainty.  He holds more than 20 patents and authored numerous peer reviewed papers on dynamic routing, resilience, performance evaluation and optimization of networks.  He led several European FP7 research projects over last ten years incl. ECODE on machine learning, EULER on large-scale routing, and appointed PI of the Internet Science NoE (EINS).

TITLE: Handling of uncertainty for reliable Information-driven Networks

ABSTRACT: The design of reliable engineered systems requires considering the uncertainty due to the lack of knowledge (epistemic uncertainty) or probabilistic variability (aleatory uncertainty).  Uncertainty, in e.g., the spatio-temporal properties of demands, the topology dynamics, has become the central notion to capture for the optimal solving of reliable network design, location, allocation, scheduling and routing problems as well as their combinations.  For instance, the model used for the joint server/cache placement, demand and flow assignment in information-driven networks removes the demand allocation independence property of due to strongly interrelated placement and assignment decisions.  Hence, preserving information accessibility, and more generally continuity of correct service, requires to capture demand uncertainty as part of the model.  For this purpose, optimization under uncertainty has been approached by math.programming paradigms that differ mainly in the definition and representation of uncertainty, e.g., known probability distributions, uncertainty sets.  The concept of strict robust optimization (RO) seeks at minimizing the worst-case cost under all possible uncertainty realizations.  Set-induced RO constructs solutions that are deterministically immune against any realization of the parameters/model data uncertainty in some compact sets.  Less conservative set-induced RO methods rely on the assumption that it is unlikely that all uncertain parameters reach simultaneously their worst-case value by limiting the cardinality of the uncertainty sets or by budgeting the total deviation from their nominal value.  In set-induced RO, all variables represent “here and now” decisions; they must be determined before the realization of the uncertain parameters becomes known.  In contrast, Adjustable RO (ARO) enables to choose a subset of variables (referred to as adjustable) after the realization of the uncertain data while the subset of nonadjustable variables must be determined before its realization.  The former variables represent “wait and see” decisions that can be made when revealing part of the uncertain data and that can adjust to the corresponding part of the data.  ARO yields solutions that are less conservative though computationally harder to produce than their nonadjustable robust counterpart.  Nevertheless, set-induced RO methods ignore all distributional information and are unable to evaluate expectations including probability measure; they also require domain knowledge for the specification of uncertainty sets. Instead, Distributionally Robust Optimization (DRO) represents model data as random variables over a family of probability distributions characterized by its descriptive statistics that can be derived from the data.  DRO aims at minimizing a worst-case probability functional, e.g., the worst-case expectation, where the worst case is taken with respect to an ambiguity set defined as a family of distributions consistent with the given prior information on the uncertainty.  The main advantage of this data-driven method is that it produces -by means of tractable approximations- solutions that are robust to distributional assumptions, less conservative than their (A)RO counterpart while enabling to compute bounds on expectations.  The motivation of using this technique for the solving of reliable design, location, allocation, scheduling and routing problems which sit at the core of information-driven networks/dependable information systems stems from the ambiguity in characterizing the probability distribution of demands in space (origin) and size which drives related decisions.  For instance, a data-driven DRO model which produces decisions that are robust with respect to the ambiguity set of all demand distributions -fulfilling prescribed statistical hypothesis tests- yields a computationally attractive approach for addressing demand uncertainty.



Kelly Krick,  Strategic Project Manager, Product Development Group – Cloud Execution Environment, Ericsson, Sweden

Kelly Krick is currently responsible for lifecycle management for Ericsson’s OpenStack based Cloud Execution Environment. A key goal of this effort is to improve reliability and reduce impact to workloads when making software updates to the cloud infrastructure. He is also addresses reliability and performance improvements in Ericsson’s cloud offering.

Kelly graduated from the University of Iowa in 1982 with a BS in Electrical Engineering.  He worked for Central Telephone Company and Nortel prior to Ericsson. He is an experienced change agent in the communications industry having led operations, engineering, project management, & quality efforts in the US, Europe, and Asia. Working in transformation projects throughout his career, he also became a Lean Six Sigma Black Belt.

Kelly is a former Chair for IEEE ComSoc Technical Committee on Communications Quality and Reliability and is currently on the Board of Advisors. He is a 2016 recipient of the IEEE CQR Lifetime Service Award and is a Senior Member of IEEE.

TITLE:  Improved Reliability for NFVI

ABSTRACT:  Especially with stateful telecom virtual network functions (VNFs), OpenStack “out of the box” does not meet reliability requirements for those applications running in a Cloud. Improvements to detection and triggering actions for infrastructure faults combined the recovery mechanisms for applications running in a Cloud have provided the service reliability needed.  In Ericsson, “Continuous Monitoring – High Availability (CM-HA) uses a ‘recreation’ automatic recovery action to ensure that the configured VM availability level is met.  Collaborating in OPNFV Project Doctor, Ericsson along with various groups are aligning on a solution to upstream to OpenStack. This presentation will cover additions to work with OpenStack components to deliver high availability for VNFs as well as the summary of the current work in OPNFV.


Didier Colle, Full Professor, Ghent University, Belgium

Didier Colle is full professor at Ghent University since 2014.  He was associate professor since 2011 at the same university and received a PhD degree in 2002 and a M. Sc. degree in electrotechnical engineering in 1997 from the same university.

He is group leader in the IMEC Smart Applications and Innovation Services Flanders (SAISF) business unit.  He is co-responsible for the research cluster on network modelling, design and evaluation (NetMoDeL) inside the IDlab research group.  This research cluster deals with fixed internet architectures and optical networks, green-ict, design of network algorithms and techno-economic studies.

His research is mainly conducted inside international (mainly European), national and bilateral research projects together with the industry.  This research has been published in more than 450 international journal and conference articles and has resulted in more than 15 PhD degrees.


TITLE: Flexible softwarized networks: A RAS Perspective

ABSTRACT: Software Defined Networks (SDN), Network Function Virtualization (NFV) and Service Function Chaining (SFC) are part of the current evolution taking place in communication networks. These technologies promise several improvements such as shorter time-to-market, automatic scaling / elastic network services, etc.  The purpose of this presentation is to touch upon different aspects impacting not only availability but also reliability and serviceability.  In a first part of this presentation we look to the current / past situation and how the context is changing towards one subject to emerging services.  In the second part SDN, NFV and SFC are briefly introduced and the benefits highlighted.  The third part touches upon different aspects of SDN/NFV/SFC impacting RAS mainly from a technical point of view. This includes how to implement protection in a NFV/SFC context (availability improvement) up to performance profiling in order to meet SLAs (reliability rather than availability perspective).  The last part will touch upon DevOps and its relation to RAS: in contrast to the third part, DevOps requires a cultural change in order to have the potential to become a success.  The automation in the DevOps process will impact the servicability significantly




Massimo Tornatore, Associate Professor in the Department of Electronics, Information and Bioengineering at Politecnico di Milano, Italy.  Massimo Tornatore is currently an Associate Professor in the Department of Electronics, Information and Bioengineering at Politecnico di Milano, Italy, where he received a PhD degree in Information Engineering in 2006.  He also holds an appointment as adjunct professor in the Department of Computer Science at the University of California. He is author of about 300 peer-reviewed conference and journal papers. His research interests include performance evaluation, optimization and design of communication networks (with an emphasis on the application of optical networking technologies),  cloud computing and network resilience.  He is member of the editorial board of Springer journal “Photonic Network Communications”, Elsevier “Optical Switching and Networking” and IEEE Communication Surveys and Tutorials.  He is an active member of the Technical Program Committee of various networking conferences such as INFOCOM, OFC, ICC, Globecom, etc,, and he served as TPC co-chair for  ONDM 2016 and DRCN 2017. He is a senior member of the IEEE and he was a co-recipient of 10 best-paper awards from various conferences and technical journals.  He has contributed to several research projects in Europe and USA, and has received funding on network resilience against large-scale disasters from DTRA, an agency of the US Department of Defense. His current interests in network resiliency include reliability aspects of NFV and SDN, and novel paradigms for resiliency in 5G converged optical-wireless networks.

TITLE: New Reliability Strategies for Network Function Virtualization and Cloud Networks

ABSTRACT: The increasing adoption of network function virtualization and, more generically, service virtualization calls for new reliability strategies where network resources (bandwidth) and computing resources (servers/virtual machines) are jointly allocated to achieve cost-effective cloud-network protection. The talk introduces the concept of Content Connectivity (as opposed to Network Connectivity) in cloud networks and overviews some new research problems arising in the field of reliable service chaining.

Alex Galis, Professor In Networked and Service Systems at University College London (UCL).   He has co-authored 10 research books including and more that 250 publications in the Future Internet areas: system management, networks and services, networking clouds, 5G virtualisation and programmability.  He participated in a number of EU research projects including overall technical leadership of the MISA – Management of IP networks, FAIN – programmable networks, CONTEXT – context aware networking and AUTONOMIC INTERET – autonomic networking projects.  He was a member of the Steering Group of the Future Internet Assembly (FIA) and he led the Management and Service–aware Networking Architecture (MANA) working group at FIA.  He acted as PTC chair of 14 IEEE conferences including TPC co-chair of IEEE Network Softwarization 2015 (NetSoft 2015) and reviewer in more than 100 IEEE conferences.  He is also a co-editor of the IEEE Communications Magazine feature topic on Advances In Networking Software and an editor of IEEE JSAC series on Network Softwarisation and Enablers.  He acted as a Vice Chair of the ITU-T SG13 Group on Future.

TITLE: Key Challenges – Reliability, Availability and Serviceability in Network Slicing

ABSTRACT: Network programmability and softwarization is an overall transformation trend for designing, deploying, managing and network systems and components by software programming, exploiting characteristics of software such as flexibility and rapidity of design, development and deployment throughout the lifecycle of network systems and components.  This transformation trend is changing the context and object of the network non-functional requirements: Network Reliability, Availability and Serviceability.  I will discuss the key challenges in realising functional/non-functional requirements and network architecture utilizing the concepts and enablers of network programmability and network slicing.  I will also discuss 5G Soft Networks that are seen as an extremely flexible and highly programmable e2e compute & connect infrastructures that are also application & service aware as well as time, location and context aware.


Roundtable Chair: Spilios Makris, PhD, Director, Palindrome Technologies, USA and Ex-Chairman of the IEEE SRPSDVE Study Group

Spilios Makris is currently the Director of Network Resilience and Business Continuity Management (BCM) in Palindrome Technologies. Spilios has extensive experience in BCM and network resilience serving as Director and Senior Consultant at Telcordia Technologies (formerly Bellcore) for over 28 years, conducting studies and developing methodologies along with industry Best Practices for over 50 Tier 1&2 telecom companies, telecom vendors, and Telecom Regulatory Authorities (TRAs) worldwide. Spilios has served as Chair, Vice-Chair, Lead Contributor of the Standards T1A1.2 WG on “Network Survivability Performance” (was renamed PRQC Reliability Task Force) for 20 years. He successfully managed thebdevelopment and regular update of Telcordia Generic Reliability Requirements documents establishing them as the “de facto” industry standards (e.g., SR-332 on Reliability Prediction Procedure for Electronic Equipment).
Spilios recently served as the Chair of the IEEE Study Group for Security, Reliability, and Performance for Software Defined and Virtualized Ecosystems (e.g., SDN, NFV, etc.). (
Spilios received his PhD in Industrial Engineering & Operations Research from the University of Massachusetts at Amherst, Mass., MS in Engineering Management from Northeastern University, Boston, Mass., and Diploma (equiv. to MS) in Electrical & Mechanical Engineering from the National Technical University of Athens, Greece.
He is a Certified Business Continuity Professional (CBCP) by the Disaster Recovery Institute International (DRII) and a Senior Member of IEEE.

TITLE:  IEEE P1917.1 Working Group on SDN/NFV Reliability: Overview, Issues, and Next Steps

ABSTRACT: This talk will give an overview of the standardization activities at the IEEE P1917.1 Working Group for the Reliability of Software Defined Networking and Network Function Virtualization (SDN/NFV).  It will briefly discuss the potential work areas, challenges, approaches, examples of hot issues debated, as well as current and potential efforts at this Working Group.


Roundtable Advisor: Chi-Ming Chen, PhD, AT&T Labs, USA

Chi-Ming Chen joined AT&T in 1995. His current responsibility is the operations support system (OSS) architecture. Prior to joining AT&T, Chi-Ming was with Bell Communications Research (Bellcore) from 1985 to 1995. He was a faculty member at Tsing Hua University, Hsinchu, Taiwan from 1975 to 1979. He received his Ph.D. in Computer and Information Science from the University of Pennsylvania in 1985; M.S. in Computer Science from the
Pennsylvania State University in 1981; M.S. and B.S. in Physics from Tsing Hua University, Taiwan, in 1973 and 1971 respectively. Chi-Ming Chen is a Life Senior Member of IEEE and Senior Member of ACM. He is an Advisory Board Member of IEEE Communications Society (ComSoc) Technical Committee on Communications Quality & Reliability (CQR), a member of the IEEE GLOBECOM & ICC Management & Strategy (GIMS) Standing Committee. He has chaired several GLOBECOM and ICC Industry Forums and is serving as the GIMS Advisor for ICC 2019, Shanghai, China.





Resource Links: