The importance of entering the Space Age is growing fast, and the infrastructure needed to accelerate the process requires a new approach. The Internet of Everything has to be Edge-centered to facilitate this, enabling computing and storage capabilities to be at space level. Locating in dedicated or non-dedicated clustered constellations, computing, and storage opens the possibility of creating many benefits for future Space missions.
A Space Edge Cloud working through the Internet of Everything indicates that the best option to achieve it is actioning a decentralized foundation. To reach an autonomous state as fast as possible, the path to follow can be set by learning from the original ARPANet. Allowing to create a swarm protocol and codec that utilizes error correction and is connection agnostic so that it can run over radio or laser connections.
There also needs to be software data deviation controls to maximize autonomous security; this will action, e.g., alerts that can detect a node on the swarm behaving irrationally and activate the network to ignore its data. Furthermore, it will be able to instruct to run a maintenance cycle and report finding to the rest of the swarm. In this sense, one core benefit is that the AI of each swarm can be used to calculate optimized constellation re-configurations as needed.
Therefore, the main benefit of a complete Decentralized Space Edge Cloud is access to a computation platform in space that is not mission-specific but can be configured or trained to work on different tasks in parallel. Founding a well-designed edge platform to drive the Internet of Everything opens the option of instructions from Earth’s ground stations or other Space vehicles or stations.
Additional benefits of an autonomous clustered approach are that new swarm participating satellites can be added at any time automatically. This is possible by putting them in the constellation(s), and the AI will reconfigure the constellation to utilize the new swarm member best. This new approach to Space Edge Cloud uses Linux OpenCloud and the AI capabilities of Tensorflow to minimize the educational curve.
Before setting this new decentralized technological format into Space, a prototype construction needs to be actioned. A viable option for an AI computing first design and a Peer to Peer cluster approach to distributed computing is a prototype based on the ARM Cortex-M55 chipset and LoRa and Laser transceiver technology. It will initially create a ground-based Edge Cloud system that can easily be converted and scaled for satellite deployments.
The prototype design that needs to be initiated at the ground level should consider the following basic process and considerations:
· Multi-vehicle approach — The Internet of Everything system using the Edge Cloud pack should be possible to add to any bird.
· Rust Programming language — Using the new programming language Rust, development for different hardware platforms can be accelerated.
· Computing board stacking — This should be processed through a 6U CubeSat because it should enable adding a minimum of 20 ARM Cortex-M55 boards.
· Storage stacking — The storage opportunities for a stack of boards should be considered and processed on a customizable basis.
The Ground-based prototype development timeframe initially should be done, as stated above, on the ground and reach a fully working demonstrable no hands-on autonomous system in 9 months. It can have it ready for space deployment on the Tetra 6U vehicle in an additional three months.
As for components, system security, and networking infrastructure to take into account based on the Internet of Everything working on a well-designed edge computing platform, to form the Edge Cloud pack needs:
The security IoE edge computing at the space level includes:
· Autonomous — As most security breaches come from human error or activities, the autonomous and decentralized system is protected against these security issues.
· Quantum-Safe — Another important hindsight security issue is tackled by using perfect random number series; it encrypts the communications data secured from future Quantum Computer-Enhanced encryption-cracking efforts.
· Error detection — Actioning a saving protocol of computing and network states in a blockchain, we can use a consensus algorithm with the AI to detect and isolate deviations in behavior, be it from hardware error or malware attacks.
· Automated reinstall — Here, the consideration comes through when a swarm node deviates from routine behavior. Autonomy permits the other nodes to reinstall that node through a consensus decision.
· Polymorphic keys — To keep security top-notch, after each data transmission between two nodes, the encryption keys are evolved using a cellular automata algorithm agreed on by the nodes so that keys are not reused as in classic public/private encryption.
· Sharing done via temporary keys — As a logical consequence of polymorphic keys usage, access to the platform is controlled by multilayered encryption keys that can be limited by time or logins.
The networking principles within the IoE edge platform align through:
· Simple decentralized P2P protocol — By trusting the encryption and security, the connection protocol can be kept simple and efficient.
· AI for optimized routing (AI-SDN) — The constellation cluster routing will be an AI-controlled Software Defined Network that can work over different connection mediums.
· Clustered Computing protocol — This point is based on a modified Beowulf cluster protocol.
· Dynamically Assigned up/downlink masters — Helping to optimize connection speeds, although increased needs, need to be evaluated during prototyping.
· Distributed file system — To create a secure data system, the Swarm shares a distributed file system similar to a Log File System.
Computing components forming an IoE edge computing space cloud system:
· Any space-based infrastructure needs to be designed with Edge cloud and clustering. The inherent environment calls for a dynamic approach, where old satellites can be removed and new ones added without any hands-on.
· The logical proposal is an AI-first solution but with traditional computing supported, this modular approach is achieved using a modified Beowulf cluster.
· The whole hardware computing “stack” should be possible to add to non-dedicated satellites as computing support and scale with the proposed space available on a Space Vehicle.
The above presentation, which uses the Internet of Everything for Space using Edge Cloud, can be attained using Eden System. An infrastructure designed specifically for the present and future of the Internet of Everything, accommodating the different parts that form the Internet, such as the Internet of Things (IoT), the Industrial Internet of Things (IIoT), or Industry 4.0.
By utilizing Eden System’s IoE foundations, as presented in this article, we can adapt it to a Space-Age current and future mission aspirations. These solutions are built to help the better development of the technological evolution and consider the need to construct within an eco-friendly environment. Thus, creating a human-tech approach that prompts the necessity to tackle the increasing tech footprint on Planet Earth.
Eden System’s mission, built by the Internet of Everything Corp (IoECorp), is to accelerate the use of IoE on all fronts and, as stated above, focus on offering solutions that confront the carbon emission footprint. IoE corp strives to comply with the United Nations’ Sustainable Development Goals (SDGs), presenting solutions for Space, as this article indicates, and all other industries. For Example, Smart Cities and Housing, Healthcare, Government, and Agriculture.
The Internet of Everything (IoE) is a relatively new concept and is mistaken for the Internet of Things (IoT). A simple explanation of IoE is the intelligent connectivity between physical devices (IoT), people, processes, and data; here’s an overview.
The difference between IoE and IoT is that IoE is an expansion of IoT because it encompasses the whole Big Data collection, building interconnectivity to acquire data produced by devices and people and forming the raw data into actionable information. Offering processes that send the refined data to the right person or machine when needed. Holistic connectivity can help the performance of all industry verticals, like aerospace and defense, and is based on those mentioned four fundamental pillars — people, physical devices (IoT), processes, and data. As for the critical components of the IoE market, we have the hardware, software, and services. Looking at the four pillars in more detail, we can say that:
1. People — An integration to the IoE scene due to the on-growing adoption of wearable technology that is currently established in smartphones, computers, laptops, healthcare devices, fitness trackers, etc. But this use will be applied shortly to all aspects of people’s lives, creating data from homes, vehicles, leisure resorts, waste, and much more. This immense amount of data production can be leveraged through the orchestration of IoE and innovative technologies like artificial intelligence (AI) and machine learning. Resulting in understanding human issues and delivering relevant and specific information according to the people’s personal or business needs, helping to make decisive decision-making to reach optimal living standards or business goals once received.
2. Physical devices (IoT) — The relation that IoE has with IoT is the capacity to connect to the network, creating paths leading to output and input data on real-time status—optimizing the devices and applying the power to send refined data to the correct destination across the network. An autonomous approach offers a more dynamic data to information flow and empowers IoT devices to connect and respond to human or business needs. All this is inside a network predicted to reach a global scale during this decade.
3. Data — Today, data rises to 2.5 quintillion bytes a day, which is a considerable amount; imagine how much a worldwide connection will produce. For this Big Data to be beneficial to people, societies, industries, cities, governments, etc., there has to be a way to turn it into action. We have to remember that the data creation is at a raw level. Just like crude petroleum needs processing to be of value. Here, a decentralized IoE can reap data to information to turn it into priceless information that can be used in favor of social engineering, industrial innovation, sustainable procedures, and, in essence, empower intelligent solutions.
4. Processes — Naturally, the staggering amount of data that a worldwide connection will input into the network will need new ways of processing. Predictions say that by 2030 25 billion devices will be connected on a global scale. The processing comes from AI, machine learning, social networks, and technologies focused on delivering the right data to information to the correct person and machine at the precise time. Succinctly, the goal of IoE processing is to guarantee the best possible usage of Big Data.
It is paramount for the whole infrastructure to become a genuinely decentralized IoE architecture to optimize this new approach to data harvesting. Activating this decentralization provides significant advantages that come through a cost-efficient, secure and private, sustainable, and scalable approach that current centralized solutions cannot assure.
We have developed a decentralized, autonomous, portable, secure, virtual infrastructure for managing clustered workloads over depos (decentralized pods) and services that facilitate both declarative configuration and automation; Eden System.
You can contact our expert team or read our aerospace and defense solutions for more details. It is time for humanity to start its discovery voyage into space, and applying our decentralized digital solutions can accelerate the departure. We begin with Edge Cloud services driven by our Eden System and continue with swarm robots entering the universe’s outer limits.
