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GSAW 2018 Working Groups

Session 11A: Cloud Computing for Ground Systems VIII

Leads: Ramesh Rangachar and Craig Lee, The Aerospace Corporation

This is the eighth year of this working group. The main objective of the working group is to continue to drive into specifics for the adoption of cloud computing in satellite ground systems.  The Cloud Reference Model and Roadmap produced by Aerospace will be used to frame the discussion, while specific mission requirements will be used to prioritize initial steps. The working group will focus on:

  • State of the art in cloud computing and ground systems technologies;
  • Cloud reference models and roadmaps;
  • Cloud-based ground systems;
  • Cloud-related technologies such as DevOps and Big Data;
  • Cloud security, standards, and compliance;
  • Acquisition strategies for cloud-based systems;
  • Cloud computing economics; and
  • Cloud performance management.

This working group will consist of two parts. Part 1 will include presentations, case studies, and demonstrations related to cloud computing for ground systems. Part 2 will be a town hall meeting on cloud computing for ground systems. This will include a moderated discussion on the focus issues mentioned above, with expert opinions from panelists.

Presenters, panelists, and participants will include ground systems providers, integrators, and operators, cloud solutions providers, and others interested in ground systems and cloud computing.


Session 11B: Achieving the Resilient Enterprise Through Model-Based Engineering

Leads: Ryan Noguchi and Robert Pettit IV, The Aerospace Corporation

In this Working Group Session, we hope to foster a mutually beneficial discussion of the community’s lessons learned and best practices in Model-Based Engineering (MBE). As in previous years, we plan to facilitate an open discussion of the issues and concerns of MBE to encourage broad participation from the assembled participants. We plan to open the session with a very brief presentation that sets the stage, but we have found that the discussion evolves on its own accord, leads the group in directions we can’t predict in advance, and results in the beneficial emergence of insightful conclusions and the identification of key challenges and opportunities that face the community.

In keeping with this year’s GSAW theme, we would like to focus the working group’s discussions on how MBE can serve as a critical enabler for achieving the resilient enterprise. The emerging operational environment for government space and ground systems is being driven by a growing array of threat vectors, and MBE can improve organizations’ ability to architect and design ground systems to be resilient to these threats. Furthermore, the emerging acquisition environment for government space and ground systems suggests the growing need to keep up with rapid changes and their accelerating rate, and MBE can improve organizations’ ability to react and adapt to these rapid changes in technology, threats, policies, and other factors. We hope to learn how organizations have been using and improving MBE methods and practices to improve the resilience of their ground systems.


Session 11C: Realizing Resiliency in Space Systems Working Group

Lead: Donald Sather, The Aerospace Corporation

Resilience: the ability to become strong, healthy, or successful again after misfortune or change.

For space missions, resiliency is the ability to maintain mission success despite the many threats and failure scenarios which may be encountered.  Historically, due to the high cost of launch and the large exquisite spacecraft required, space was the exclusive domain of wealthy companies and nation-states leaving it essentially uncontested and uncrowded.  As cyber threats grow, cost pressures mount, launch costs drop precipitously and as satellites are built which are smaller than a breadbox, the architectural paradigms and assumptions used by systems for years to achieve resiliency don’t necessarily apply and they may only cover a portion of the new challenges.  This working group will look at the many aspects of space mission resiliency – from the ground infrastructure to the spacecraft to the new approaches possible with large constellations of small satellites.  The working group will have panelists from various Government and commercial organizations that will share their experience and approaches to improve the resiliency of their systems.  The goal of the working group is to share information across the community, identify common issues and concerns as well as possible approaches to address the concerns regarding resiliency.


Session 11D: Achieving Resiliency with Agile Methods

Leads: Supannika Mobasser and Jodene Sasine, The Aerospace Corporation

Agile software and system development is no longer a new topic for the Government sector. Several programs have gradually started to embrace agile methods. Ground software systems usually have large scale and high complexity, hence, there is a big challenge to use agile as it is used in commercial software-intensive industry. Additional challenge is how to balance building a system that can be delivered frequently but still robust and resilient.

This working group will provide an opportunity for agile practitioners to share their experiences and learn from others on several topics regarding challenges in adopting agile in the enterprise level on the following topics:

  • Agile architecture: build “-ilities” and resiliency in
  • Agile enterprise: cultural and paradigm shift
  • Agile mission assurance: trust but real-time verify
  • Agile roles and responsibilities: oversight or insight
  • Agile supporting infrastructure: required product and process resources

The format of the working group will be a combination of presentations, case studies, and interactive discussion focusing on different aspects of agile adoption on ground software system development.


Session 11E: Emerging Technologies: Protections or Pitfalls

Lead: Scott Niebuhr, The Aerospace Corporation

This working group will include participants from the civil, commercial, defense and intelligence communities.  Emerging cyber technologies are creating new vectors for intrusion, attack and failures in our space systems.  With this increase in innovation and capability from our adversaries, there is also an opportunity to counter these potential threats by outpacing the threat and deploying more resilient architectures, increasing enterprise agility, and leveraging collective collaboration within the tech industry, the DoD, the IC and space community at large.  We plan to have technical, policy, and legal subject matter experts represented on the panel.

This working group will bring together key players from emerging technologies to discuss their role in cybersecurity and how they can both be utilized in defeating cyber defenses and increasing enterprise resiliency.  Some of the technologies we plan to discuss are but not limited to; artificial intelligence / machine learning, honeypots / honeynets, malware detection using sequence classification, IoT aka the internet of things, quantum cryptography, microsegmentation of networks, disposable computing, and the use of blockchain.


Session 11F: Intelligent Systems / Machine Learning for Space Ground Systems

Leads: Daniel Balderston and Andrew Brethorst, The Aerospace Corporation

Resilient Space Systems require timely and effective detection and response capabilities when anomalies occur.  Engineering strives to define and manage foreseen anomalies, but unforeseen events and abnormalities often result in mission failure.

Space system operations involve extremely large volumes of dynamic data that reflect nominal, expected, maturing and ultimately degrading space systems, all in a changing space environment where unforeseen events occur.  Detection and response must be both timely and accurate for mission success, but must evolve with the systems, environments and actors involved.  All segments are involved (i.e., space vehicle, ground control and mission data or service capabilities).

Adaptive automation is essential for success.  The challenge is finding the proper balance between human involvement and autonomy.  Intelligent systems and machine learning promise to address these challenges through self-evolving, efficient, and value-focused capabilities.  These systems, however are often misunderstood, misapplied or insufficient for mission needs.

The “Intelligent Systems / Machine Learning for Space Ground Systems” working group will seek to identify and demystify where intelligent systems and machine learning currently exist in space ground systems, discover what emerging capabilities are being developed in the community, and to capture real-world impediments for adoption, and how intelligent systems/machine learning has advanced space systems resilience.