scholarly journals Developing Load Balancing for IoT - Cloud Computing Based on Advanced Firefly and Weighted Round Robin Algorithms

2019 ◽  
Vol 16 (1) ◽  
pp. 0130 ◽  
Author(s):  
Abed Et al.
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
High Performance ◽  
Human Life ◽  
Round Robin ◽  
Use Of Resources ◽  
Huge Data ◽  
Hypertext Transfer Protocol ◽  
Iot Devices

The evolution of the Internet of things (IoT) led to connect billions of heterogeneous physical devices together to improve the quality of human life by collecting data from their environment. However, there is a need to store huge data in big storage and high computational capabilities.   Cloud computing can be used to store big data.  The data of IoT devices is transferred using two types of protocols: Message Queuing Telemetry Transport (MQTT) and Hypertext Transfer Protocol (HTTP). This paper aims to make a high performance and more reliable system through efficient use of resources. Thus, load balancing in cloud computing is used to dynamically distribute the workload across nodes to avoid overloading any individual resource, by combining two types of algorithms: dynamic algorithm (adaptive firefly) and static algorithm (weighted round robin). The results show improvement in resource utilization, increased productivity, and reduced response time.

scholarly journals Experimental Setup for Investigating the Efficient Load Balancing Algorithms on Virtual Cloud

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7342
Author(s):  
Bhavya Alankar ◽  
Gaurav Sharma ◽  
Harleen Kaur ◽  
Raul Valverde ◽  
Victor Chang
Keyword(s):  
Load Balancing ◽  
High Performance ◽  
Round Robin ◽  
Experimental Setup ◽  
Cloud Infrastructure ◽  
Use Of Resources ◽  
Virtualization Technology ◽  
Distribution Of Resources ◽  
Load Balancer ◽  
Performance Computing

Cloud computing has emerged as the primary choice for developers in developing applications that require high-performance computing. Virtualization technology has helped in the distribution of resources to multiple users. Increased use of cloud infrastructure has led to the challenge of developing a load balancing mechanism to provide optimized use of resources and better performance. Round robin and least connections load balancing algorithms have been developed to allocate user requests across a cluster of servers in the cloud in a time-bound manner. In this paper, we have applied the round robin and least connections approach of load balancing to HAProxy, virtual machine clusters and web servers. The experimental results are visualized and summarized using Apache Jmeter and a further comparative study of round robin and least connections is also depicted. Experimental setup and results show that the round robin algorithm performs better as compared to the least connections algorithm in all measuring parameters of load balancer in this paper.

scholarly journals ANALISIS PENINGKATAN KINERJA FTP SERVER MENGGUNAKAN LOAD BALANCING PADA CONTAINER

2019 ◽  
Vol 9 (3) ◽  
pp. 8-18
Author(s):  
Januar Al Amien ◽  
Doni Winarso
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Round Robin ◽  
Single Server ◽  
Test Results ◽  
File Transfer Protocol ◽  
Computing Technology ◽  
File Transfer ◽  
Use Of Resources ◽  
Transfer Protocol

Abstract Cloud computing is a technology that answers the challenge of the need for efficient computing technology. There are many things that can be implemented using cloud computing technologies such as web services, storage services, applications and others. Use of cloud computing using container technology can help in the management of applications and optimize the use of resources in the form of memory and processor usage on the server. In this research docker containers implemented by service of FTP (File Transfer Protocol). The FTP service is made into 3 containers within a single server computer. To handle load problems performance on the FTP server against overload requests, load balancing is used. Load balancing is a method to improve performance while reducing the performance load on FTP servers. Based on the test results, the use of multi container and load balancing in the FTP server in load with two algorithm least connection and raound robin handling has result of smaller memory usage and utilization of processor usage evenly. Both algorithms are recommended for handling loads for FTP servers and will be more efficient when applied to servers with the same specifications and loads Keywords: Cloud Computing, Docker, FTP, Load Balancing, HAProxy, Least Connection, Round Robin. Abstrak Cloud computing merupakan teknologi yang menjawab tantangan akan kebutuhan teknologi komputasi yang efisien. Terdapat banyak hal yang dapat diimplementasikan menggunakan teknologi cloud computing seperti web service, layanan penyimpanan, aplikasi dan lain-lain. Penerapan cloud computing dengan menggunakan teknologi container dapat membantu dalam pengelolaan aplikasi serta mengoptimalkan penggunaan sumber daya berupa penggunaan memory dan prosesor pada server. Dalam penelitian ini penerapan docker container diimplementasikan menggunakan layanan aplikasi FTP (File Transfer Protocol). Layanan  FTP dibuat menjadi 3 container didalam satu computer server. Untuk menangani permasalahan beban kinerja pada FTP server terhadap permintaan yang terlalu berat (overload) digunakan load balancing. Load balancing merupakan metode untuk meningkatkan kinerja sekaligus mengurangi beban kinerja pada FTP server. Berdasarkan hasil pengujian, penerapan multi container serta load balancing didalam FTP server dalam penanganan beban dengan dua algortima least connection dan round robin memiliki hasil penggunaan memory yang lebih kecil dan pemanfaatan penggunaan prosesor yang merata kedua algoritma tersebut direkomendasikan untuk penanganan beban untuk ftp server dan akan lebih efisien apabila diterapkan pada server dengan spesifikasi dan beban yang sama. Kata Kunci: Cloud Computing, Docker, FTP, Load Balancing, HAProxy, Least Connection, Round Robin .

Arrangement of Archives of Cloud Computing Based and Utilization of Microsoft Access

2018 ◽  
Vol 1 ◽  
pp. 198
Author(s):  
Lusy Tunik Muharlisiani ◽  
Henny Sukrisno ◽  
Emmy Wahyuningtyas ◽  
Shofiya Syidada ◽  
Dina Chamidah
Keyword(s):  
Cloud Computing ◽  
Public Service ◽  
Human Life ◽  
Electronic System ◽  
Main Function ◽  
Scientific Publications ◽  
Data Manipulation ◽  
Administrative Management ◽  
Microsoft Access

Service at the “Kelurahan” is a very important part in determining the success of development, especially in public service. The problem faced is the lack of skill level of the “Kelurahan” apparatus with the more dynamic demands of the community and the archive management system is still conventional and manual that is writing the identity of the archive into the book agenda, expedition, control card, and borrowed archive card, so it takes a more practical electronic system, effective and efficient so required to develop themselves in order to improve public services. Conventional administration and archive management must be transformed into cloud-based computing (digital), for which archiving managers should always be responsive and follow these developments and wherever possible in order to utilize for archival activities, with greater access expected archives are evidence at once able to talk about historical facts and events and be able to give meaning and benefit to human life, so archives that were only visible and readable at archival centers can now be accessed online, and even their services have led to automated service systems. Using Microsoft Access which its main function is to handle the process of data manipulation and manufacture of a system, this system is built so that the bias runs on Cloud which means Cloud itself is a paradigm in which information is permanently stored on servers on the internet and stored. The purpose of this program is the implementation of administrative management that has been based cloud computing (digital) and is expected to be a solution in managing the archive so that if it has been designed and programmed, it can be stored in the computer and benefi- cial to the “Kelurahan” apparatus and add in the field of management archives in the form of improving the quality of service to the community, can facilitate and scientific publications.

scholarly journals The Construction and Thinking of Cloud Computing and Big Data Technology in Smart Campus

2019 ◽  
Vol 3 (2) ◽  
pp. 152
Author(s):  
Xianglan Wu
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Information Technologies ◽  
Rapid Development ◽  
Smart Campus ◽  
Huge Data ◽  
New Information ◽  
Big Data Technology

<p>In today's society, the rise of the Internet and rapid development make every day produce a huge amount of data. Therefore, the traditional data processing mode and data storage can not be fully analyzed and mined these data. More and more new information technologies (such as cloud computing, virtualization and big data, etc.) have emerged and been applied, the network has turned from informationization to intelligence, and campus construction has ushered in the stage of smart campus construction.The construction of intelligent campus refers to big data and cloud computing technology, which improves the informatization service quality of colleges and universities by integrating, storing and mining huge data.</p>

Dynamic Management of Resources in Cloud Computing

2020 ◽  
Vol 8 (1) ◽  
pp. 65-81 ◽  
Author(s):  
Pradeep Kumar Tiwari ◽  
Sandeep Joshi
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Service Level Agreement ◽  
Service Level ◽  
Poor Quality ◽  
Migration Time ◽  
Load Imbalance ◽  
Management Of Resources ◽  
And Migration

It has already been proven that VMs are over-utilized in the initial stages and are underutilized in the later stages. Due to the random utilization of the CPU, resources are sometimes heavily loaded whereas other resources are idle. Load imbalance causes service level agreement (SLA) violations resulting in poor quality of service (QoS) aided by the imperfect management of resources. An effective load balancing mechanism helps to achieve balanced utilization, which maximizes the throughput, availability, and reliability and reduces the response and migration time. The proposed algorithm can effectively minimize the response and the migration time and maximize reliability, and throughput. This research also helps to understand the load balancing policies and analysis of other research works.

A Proficient Approach for Load Balancing in Cloud Computing-Join Minimum Loaded Queue

2020 ◽  
Vol 11 (1) ◽  
pp. 12-36
Author(s):  
Minakshi Sharma ◽  
Rajneesh Kumar ◽  
Anurag Jain
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Response Time ◽  
Resource Utilization ◽  
Cloud Service ◽  
Cloud Environment ◽  
Cloud Service Provider ◽  
Qos Parameters ◽  
Load Balancing Algorithm

Cloud load balancing is done to persist the services in the cloud environment along with quality of service (QoS) parameters. An efficient load balancing algorithm should be based on better optimization of these QoS parameters which results in efficient scheduling. Most of the load balancing algorithms which exist consider response time or resource utilization constraints but an efficient algorithm must consider both perspectives from the user side and cloud service provider side. This article presents a load balancing strategy that efficiently allocates tasks to virtualized resources to get maximum resource utilization in minimum response time. The proposed approach, join minimum loaded queue (JMLQ), is based on the existing join idle queue (JIQ) model that has been modified by replacing idle servers in the I-queues with servers having one task in execution list. The results of simulation in CloudSim verify that the proposed approach efficiently maximizes resource utilization by reducing the response time in comparison to its other variants.

scholarly journals Moving to the Edge-Cloud-of-Things: Recent Advances and Future Research Directions

Electronics ◽  
2018 ◽  
Vol 7 (11) ◽  
pp. 309 ◽  
Author(s):  
Hind Bangui ◽  
Said Rakrak ◽  
Said Raghay ◽  
Barbora Buhnova
Keyword(s):  
Cloud Computing ◽  
Leading Edge ◽  
Cloud Services ◽  
Future Research ◽  
Research Directions ◽  
Iot Applications ◽  
Future Research Directions ◽  
Iot Devices ◽  
The Internet Of Things

Cloud computing has significantly enhanced the growth of the Internet of Things (IoT) by ensuring and supporting the Quality of Service (QoS) of IoT applications. However, cloud services are still far from IoT devices. Notably, the transmission of IoT data experiences network issues, such as high latency. In this case, the cloud platforms cannot satisfy the IoT applications that require real-time response. Yet, the location of cloud services is one of the challenges encountered in the evolution of the IoT paradigm. Recently, edge cloud computing has been proposed to bring cloud services closer to the IoT end-users, becoming a promising paradigm whose pitfalls and challenges are not yet well understood. This paper aims at presenting the leading-edge computing concerning the movement of services from centralized cloud platforms to decentralized platforms, and examines the issues and challenges introduced by these highly distributed environments, to support engineers and researchers who might benefit from this transition.

A Survey on Load Balancing Algorithms for Cloud Environment

2019 ◽  
Vol 16 (2) ◽  
pp. 764-767
Author(s):  
P. Chitra ◽  
Karthika D. Renuka ◽  
K. Senathipathi ◽  
S. Deepika ◽  
R. Geethamani
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Comparative Analysis ◽  
Load Balancing ◽  
Resource Utilization ◽  
The Internet ◽  
Cloud Environment ◽  
Web Based ◽  
Qos Metrics

Cloud computing is the cutting edge technology in the information field to provide services to the users over the internet through web–based tools and applications. One of the major aspects of cloud computing is load balancing. Challenges like Quality of service (QoS) metrics and resource utilization can be improved by balancing the load in cloud environment. Specific scheduling criteria can be applied using load balancing for users prioritization. This paper surveys different load balancing algorithms. The approaches that are existing are discussed and analyzed to provide fair load balancing and also a comparative analysis was presented for the performance of the existing different load balancing schemes.

Nonconventional Materials (NOCMAT) for Ecological and Sustainable Development

MRS Advances ◽  
2016 ◽  
Vol 1 (53) ◽  
pp. 3553-3564 ◽  
Author(s):  
Khosrow Ghavami ◽  
Arash Azadeh
Keyword(s):  
High Performance ◽  
Human Life ◽  
Natural Fibers ◽  
Construction Materials ◽  
Cost Effective ◽  
Ongoing Research ◽  
Vegetable Fibers ◽  
The People ◽  
Important Challenge

ABSTRACTFour decades of advanced research about Non-Conventional Materials and Technologies (NOCMAT) such as bamboo and composites reinforced with natural fibers have shown that it is now possible to produce and use high performance NOCMAT. Bamboo and composites reinforced with vegetable fibers are capable, meeting most engineering demand in terms of strength, stiffness, toughness and energy absorption capability. The greatest challenge of the 21st century is the need for cost-effective, durable and eco-friendly construction materials that will meet the global needs of infrastructure regeneration and rehabilitation which alone can enhance the quality of life for all the people of the world. This paper summarizes some results of judicious combination of different matrix reinforced with vegetable fibers, especially bamboo. These sustainable ecological materials are strong, ductile and capable of absorbing large amounts of energy. They could find extensive applications in the engineering particularly in developing countries. Specifically, the development of durable composites reinforced with vegetable fibers and bamboo poses an important challenge to the science and skills of engineering. This challenge could create the most useful, eco-friendly construction materials backed by an endless supply of renewable natural resources. In addition the paper presents results of some ongoing research concerning bamboo and how vegetable fibers such as hemp plant, before the invention of Nylon was the most used materials in all aspects of human life around the globe and why it was banned.

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