Implementation of a Horizontal Scalable Balancer for Dew Computing Services

Abstract

Cloud, fog and dew computing concepts offer elastic resources that can serve scalable services. These resources can be scaled horizontally or vertically. The former is more powerful, which increases the number of same machines (scaled out) to retain the performance of the service. However, this scaling is tightly connected with the existence of a balancer in front of the scaled resources that will balance the load among the end points. In this paper, we present a successful implementation of a scalable low-level load balancer, implemented on the network layer. The scalability is tested by a series of experiments for a small scale servers providing services in the range of dew computing services. The experiments showed that it adds small latency of several milliseconds and thus it slightly reduces the performance when the distributed system is underutilized. However, the results show that the balancer achieves even a super-linear speedup (speedup greater than the number of scaled resources) for a greater load. The paper discusses also many other benefits that the balancer provides.

DaaS: Dew Computing as a Service for Intelligent Intrusion Detection in Edge-of-Things Ecosystem

“…The high-level architecture of adaptive false alarm reduction scheme using Cloud as a Service [23] dew computing puts the virtual infrastructure far from the centralized system. Ristov et al [26] given the "Independence" theory and Y. Wang [24] introduced a new theory known as "Collaboration".…”

Application of user dew agent in hybrid-computing environments

“…DC definitions covering various aspects of this new computing paradigm are given in [1,[5][6][7]. In [1], a hierarchy of scalable distributed computing is presented, in which DC is at the ground layer.…”

“…In [6], the goal of DC is defined, which is to ensure the full realization of the potential of local computers (noncloud resources) and cloud services. In [7], the description of DC includes features, such as independence and collaboration of dew-and cloud services. The first feature is the ability to work without an Internet connection, and the second is the ability of software installed on on-premises resources to automatically synchronize information with the cloud when this connection is restored [8].…”

Minimizing dependency on internetwork: Is dew computing a solution?

“…A customer buys some items from his shop and approaches for payment. Suddenly, the internet connectivity goes offline, but John keeps some smile and proceeds with a successful transaction because his local system had a localized copy of salesforce cloud image at his shop's computer . When the local internet is restored, the local copy is updated with the salesforce's central account repository.…”