Dependability in Edge Computing

Quite a good pece, broad and deep, on the topic of edge computing. Scale, Security and standardization in Deployment.  Below the abstract,  more about the specific insights covered are at the link, full access requires sign into the latest CACM issue.

Dependability in Edge Computing
By Saurabh Bagchi, Muhammad-Bilal Siddiqui, Paul Wood, Heng Zhang
Communications of the ACM, January 2020, Vol. 63 No. 1, Pages 58-66
10.1145/3362068

Edge computing is the practice of placing computing resources at the edges of the Internet in close proximity to devices and information sources. This, much like a cache on a CPU, increases bandwidth and reduces latency for applications but at a potential cost of dependability and capacity. This is because these edge devices are often not as well maintained, dependable, powerful, or robust as centralized server-class cloud resources.a

This article explores dependability and deployment challenges in the field of edge computing, what aspects are solvable with today's technology, and what aspects call for new solutions. The first issue addressed is failures—both hard (crash, hang, and so on) and soft (performance-related)—and real-time constraint violation. In this domain, edge computing bolsters real-time system capacity through reduced end-to-end latency. However, much like cache misses, overloaded or malfunctioning edge computers can drive latency beyond tolerable limits. Second, decentralized management and device tampering can lead to chain of trust and security or privacy violations. Authentication, access control, and distributed intrusion detection techniques have to be extended from current cloud deployments and need to be customized for the edge ecosystem. The third issue deals with handling multi-tenancy in the typically resource-constrained edge devices and the need for standardization to allow for interoperability across vendor products.  ... "