What are communication protocols used in distributed systems for large-scale AI?4 answersCommunication protocols used in distributed systems for large-scale AI include a communication protocol for man-machine systems that improves message routing performance in simulated smart environments. Another protocol is Tensor Flow, which is a flexible interface for communicating AI calculations across heterogeneous frameworks. Additionally, there is a system for compressed two-way communication of simplified logical inferences, which simplifies protocols for semantic data compression. Furthermore, two distributed adaptive epidemic protocols, Round-Based dynamic fanout (RBdf) and Cluster-Based dynamic fanout (CBdf), enable better control of information dissemination in large-scale communication systems. These protocols aim to ensure timely message delivery and minimize system message overhead.
What are the different types of coordination protocols used for achieving consistency in distributed storage systems?5 answersDifferent types of coordination protocols are used for achieving consistency in distributed storage systems. One approach is to employ coordination mechanisms and synchronization protocols that involve communication and agreement among distributed replicas, but this can introduce additional overhead and latency. Another approach is to use consensus protocols, which have strict requirements and may not converge to a single value. Additionally, a new coordination protocol has been proposed that utilizes a universal timestamp signatory, a relative consistency indicator, an operation-based recency-weighted conflict resolution algorithm, and a rejection-oriented distributed transaction commit protocol to achieve global consistency. Another method involves maintaining aggregated views of each storage site, collecting local state information, calculating tabulated state information, and distributing it across all storage units within the site. These different coordination protocols offer various ways to ensure consistency in distributed storage systems.
What are the key security challenges in distributed systems?4 answersKey security challenges in distributed systems include cyber-vulnerabilities, difficulty in establishing secure communication, and the risk of cyberattacks. Distributed control architectures in cyber-physical systems are prone to cyber-vulnerabilities, making cybersecurity research critical in this domain. In microservices and containerized applications, establishing secure communication becomes challenging as the system grows, leading to security breaches like identity spoofing and data in-confidentiality. Distributed energy resources (DER) in smart cities are also vulnerable to cyberattacks due to their dependency on digital communication and controls. Mitigating these security challenges requires the use of state-of-the-art communication protocols, secure bootstrapping, and issuing unique cryptographic identities to distributed systems. Additionally, machine learning and deep learning techniques can be employed to effectively mitigate security issues and attacks in distributed systems.
What are the different approaches to securing distributed systems?5 answersDifferent approaches to securing distributed systems include the use of biometric and encryption techniques for authentication and security purposes. Another approach is the application of advanced technology based on the principle of honeypots, which divert the attention of attackers and allow for examination of their methods and tools. Additionally, the flocking behavior of birds has been proposed as a model for securing industrial control systems, where each entity in the system is capable of detecting anomalies based on their location. Access control models and trust approaches are also necessary to support the dynamic and distributed nature of distributed systems, with various trust schemes categorized based on trust evaluation and credential storage methods. Aspect-oriented techniques have also been suggested as a flexible way to deal with security policies in distributed systems, combining information flow and access control approaches.
What are the challenges in securing communication protocols?3 answersSecuring communication protocols faces several challenges. One challenge is the need for security and reliability in network protocols, especially in the context of the Internet of Things (IoT) ecosystem. Another challenge arises when adopting technologies like Ethernet or a wireless harness for autonomous truck-trailer communication, which requires additional security measures and architecture. Additionally, designing a secure communication protocol in a large distributed system with complex trust relationships between entities is a challenging problem, with the possibility of polynomial time decision for secure communication but NP-completeness for unambiguous path channel synthesis. Furthermore, attacks on two-way quantum key distribution protocols pose a challenge to security, as recent proofs of security do not cover undetectable eavesdropper attacks.
What are the significant protection systems for Distributed energy resources?5 answersSignificant protection systems for distributed energy resources (DERs) include the need for new protection coordination schemes in distribution power networks due to the increasing penetration of DERs. Existing protection coordination schemes designed for unidirectional flow of fault currents become ineffective when DERs are interconnected, requiring new schemes for adequate protection coordination. Understanding the integration of DERs with the existing electric power system is crucial for optimizing overall electrical system performance at the distribution level. Protection considerations and penetration limits for DERs in existing distribution systems are important factors to address. Additionally, advanced monitoring and control technologies, such as advanced line sensors and smart meters, play a role in operating the distribution grid more efficiently when combined with distributed energy resources like residential demand response, energy storage systems, distributed generation, and plug-in electric vehicles.