IEEE Consumer Electronics Magazine - May/June 2023 - 87

TABLE 1. Frequently used acronyms.
Term Description
CaaS
Cross-chain as a Service
C, G ,M Context, Goal, Model
DMC Decentralized multicloud
ECB
IoC
IoE
IoRT
IoT
RA
SA
Extended Cross-chain of Blockchains
Internet of Cross-chains
Internet of Everything
Internet of robotic things
Internet of Things
FIGURE 1. Proposed decentralized multicloud.
The abstract SA and use case is covered in the
" Deduce SA for Scenario 1 " section. We conduct
Reference architecture
System architecture
discussion the " Discussion " section, and the
" Related Work " and " Conclusion " sections conclude
this article.
comprises multiple modular networks, which
seek a modular approach for seamless security,
privacy, scalability, and interoperability.
However, the IoE platform made by crosschain
(IoC) for smart city, also known as crosschain
as a service (CaaS) cloud solution, is currently
unavailable. Therefore, we proposed IoC,
also known as CaaS, as a service provider on
DMC. The ECB's proposed IoC/CaaS is the ECB's
general public representation.
The proposed IoC, also known as CaaS, facilitatesmultiple
factors: security, privacy, scalability,
and cross-communications. Moreover, the proposed
IoC is dedicated to the IoE of smart cities.
Our three key contributions are as follows.
1) elucidate a model for IoC/CaaS for smart city;
2) reasoning RA from the proposed model RA;
3) derive abstract SA for the IoC/CaaS from RA.
To the best of our knowledge, we believe that
we are the first to propose a model and RA for
multifactor aware IoC, also known as CaaS for
smart city and abstract SA representations
based on cross-chain technology. The acronyms
listed in Table 1 are commonly used.
The following is how the rest of this article is
organized. The preliminary and motivation scenario
are discussed in the " Preliminaries and Motivation
Scenario " section. The " Abstraction Model
for RA for Smart City " section introduces the
abstract model and reasoning RA for the IoC/CaaS.
May/June 2023
PRELIMINARIES AND MOTIVATION
SCENARIO
Preliminaries for DMC and the motivation
scenario for the proposed solution are discussed
in this section. The DMC is briefed first in the
" Decentralized Multicloud " section. The smart
city scenario is then elaborated upon in the
" Scenario for Smart City " section.
Decentralized Multicloud
We proposed decentralized DMC to address
technical constraints in the central cloud and
quality of service requirements. Figure 1
depicts an abstract representation of the proposed
DMC, which maintains a decentralized
ecosystem, which is comprised of edge, fog,
and central sublayers. The real-time workflows
seek real-time results in the fog layer that
include embedded data and other related data.
Near real-time workflows consume data from
the edge, fog, and some amount of the central
cloud. The third central layer involves multiple
batches of data sources used in AI, machine
learning, and predictive analytics. Microsoft
Databox and Amazon Snowball are tools that
are becoming popular for edge computing for
multicloud synchronization.
Scenario for Smart City
Scenario 1: The University of Aizu and the
Fukushima Prefectural Government are partners
of RTF, and they commenced a project to build a
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