Performance evaluation of proposed load balancing algorithm with unstable concurrent programs

Abstract

<span>IoT is the succeeding cohort of the digital computing environment. A swift progression in the IoT deployment and its applications are on the rise. Improving load balancing mechanisms induces healthier performance of the internet based computing as higher number of users can be comfortable. Implementing full services for tasks with unstable concurrency is an uphill process. One of the encounters allied with this administration is the task partition among the applications, regularly referred as concurrent programs. Through load balancing not only resources are equally utilized but also concurrent job’s response time can be promoted. Therefore, in this paper the widely used load balancing algorithms are investigated and yet the proposed algorithm is introduced. Simulation is employed in order to compare the performance metrics such as mean queue length, utilization and throughput between the recommended and existing algorithms. The proposed algorithm confirms the load balancing and outperforms when processing unstable concurrent programs.</span>

Comparing load balancing algorithms for web application in cloud environment

“…Load balancing is a crucial prominence in cloud computing, especially the hybrid clouds in order to cope with the service level agreement (SLA) and the quality of service (QoS) [19]. Any algorithm for load balancing is designed, depending on the state or behavior of the system, which may be static or dynamic [20].…”

Cost Minimization for Unstable Concurrent Products in Multi-stage Production Line Using Queueing Analysis

“…These cases are assumed to be 1=2=3=4=1 for case one, 1=1, 2=2, 3=3, and 4=4 for case two, and 1=4, 2=3, 3=2, and 4=1 for case three, correspondingly. In the approximation calculation, we apply an average concurrency approach described in (Jittawiriyanukoon, 2019) and compute upon mathematic equations listed in section 2. Simulation and approximation results from experimental three cases are summarized in the following Tables 1-6.…”

Mobility management for RPL protocol in internet of things

“…Authors in [16] proposed temporarily evaluation the concepts, features, protection, and privacy applications of Internet of Things authorized mobile edge computing with its data protection view in our data-driven globe. In [17] Authors optimized RPL objective function by combining several RPL parameters, such as (i) Expected Transmission Count (ETX), (ii) number of hops, and (iii) average Received Signal Strength Indicator (RSSI) as inputs in a fuzzy logic model.…”