Scalable Dew Computing
Journal
Applied Sciences
Date Issued
2022-09-22
Author(s)
Gusev, Marjan
Abstract
Dew computing differs from the classical cloud and edge computing by bringing devices
closer to the end-users and adding autonomous processing independent from the Internet, but it is
still able to collaborate with other devices to exchange information on the Internet. The difference is
expressed also on scalability, since edge and cloud providers can provide (almost endless) resources,
and in the case of dew computing the scalability needs to be realized on the level of devices, instead
of servers. In this paper, we introduce an approach to provide deviceless and thingless computing
and ensure scalable dew computing. The deviceless approach allows functions to be executed on
nearby devices found closer to the user, and the thingless approach goes even further, providing
scalability on a low-level infrastructure that consists of multiple things, such as IoT devices. These
approaches introduce the distribution of computing to other smart devices or things on a lower
architectural level. Such an approach enhances the existing dew computing architectural model as a
sophisticated platform for future generation IoT systems.
closer to the end-users and adding autonomous processing independent from the Internet, but it is
still able to collaborate with other devices to exchange information on the Internet. The difference is
expressed also on scalability, since edge and cloud providers can provide (almost endless) resources,
and in the case of dew computing the scalability needs to be realized on the level of devices, instead
of servers. In this paper, we introduce an approach to provide deviceless and thingless computing
and ensure scalable dew computing. The deviceless approach allows functions to be executed on
nearby devices found closer to the user, and the thingless approach goes even further, providing
scalability on a low-level infrastructure that consists of multiple things, such as IoT devices. These
approaches introduce the distribution of computing to other smart devices or things on a lower
architectural level. Such an approach enhances the existing dew computing architectural model as a
sophisticated platform for future generation IoT systems.
Subjects
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