This document outlines the standard operating procedures, technological protocols, and shared computing guidelines for the use of the issued personal computing device, the Mark 3 Integrated Vertex Scanner, and local consoles both while on and off duty. The Vertex Scanner, a versatile multi-function device, serves as a vital tool for scanning, data processing, and communication each acts as a part of the overall processing power of a ship or facility. The devices are integrated with the BlueNet infrastructure enables real-time data sharing and collaborative computing, enhancing operational efficiency and situational awareness. Through this, Solas Tempus vessels and facilities are better able to use the computer equipment they have and thus reduces the amount of equipment whose capabilities would normally remain unused. In this model, power output for overall ship functions reduces significantly and command and control during emergency situations becomes segmented and allows Vertex Scanners to be used to control systems within a local control segment.
== Standard Operating Procedures ===
To maintain peak functionality within the BlueNet infrastructure, each Vertex Scanner must be kept in optimal working condition, ensuring all sensors, processors, and communication systems are fully operational. Whenever possible, the device should be physically connected to the BlueNet network via a dedicated console port. While on duty, it is standard procedure to dock the Vertex Scanner into the provided console at your duty station. During sleep periods and when in storage, the device should remain connected to the network to facilitate data synchronization, updates, and overall information consistency.
Technology Protocols
The BlueNet network infrastructure facilitates real-time communication and data exchange between Vertex Scanners and other connected devices. This interconnectedness fosters seamless collaboration, efficient resource allocation, and rapid information transfer. Each Vertex Scanner functions under the ALICE interface, a semi-aware operating system responsible for input/output operations and basic tasks. Overseeing the entire network, the Master Systems AI (MSAI), a sentient artificial intelligence, can access individual Vertex Scanners through their ALICE interface, offering real-time feedback and guidance to operators, thus enhancing decision-making capabilities. Additionally, under General Order 416, AI partners integrated into the Mark 3 Vertex Scanner via a Multinodal core can leverage the BlueNet infrastructure to maintain continuous communication with their assigned partners, regardless of physical or holographic form.
Decentralized Processing
AI partners within Solas Tempus vessels and facilities are integral to the distributed computing architecture, collaborating with the Master Systems AI (MSAI) to manage tasks and optimize system performance. The MSAI, the central authority of the local BlueNet network, allocates tasks and resources to AI partners based on their capabilities and operational needs. AI partners, operating through Vertex Scanners, share data and resources across the network. Directly connected devices provide the fastest data exchange and highest computational contribution, while wirelessly connected and remote devices participate with varying levels of latency and resource contribution. The MSAI ensures adherence to protocols and directives from the Commanding Officer, utilizing the expertise and processing power of each AI partner to address complex challenges.
HAL 9000, the central intelligence of BlueNet, manages distributed processing across temporal and dimensional boundaries. Utilizing its computational power and multi-dimensional data access, HAL analyzes and distributes tasks based on urgency, complexity, and resources. Local MSAIs coordinate task allocation to Vertex Scanners and collect results. The Ansible Transit Protocol facilitates information exchange and processing, ensuring seamless collaboration and optimal resource utilization, regardless of node location in time or reality.