scholarly journals OpenStack: Toward an Open-source Solution for Cloud Computing

2012 ◽  
Vol 55 (3) ◽  
pp. 38-42 ◽  
Author(s):  
Omar Sefraoui ◽  
Mohammed Aissaoui ◽  
Mohsine Eleuldj
Keyword(s):  
Cloud Computing ◽  
Open Source

scholarly journals Scheduling under Open stack – The Current State and Future Enhancements

2019 ◽  
Vol 8 (2) ◽  
pp. 375-382
Keyword(s):  
Cloud Computing ◽  
Open Source ◽  
Task Scheduling ◽  
Computing System ◽  
Important Task ◽  
Shared Resources ◽  
Computing Systems ◽  
Current State ◽  
Cloud Computing System ◽  
Research Findings

Cloud computing is being heavily used for implementing different kinds of applications. Many of the client applications are being migrated to cloud for the reasons of cost and elasticity. Cloud computing is generally implemented on distributing computing wherein the Physical servers are heavily distributed considering both hardware and software, the connectivity among which is established through Internet. The cloud computing systems as such have many physical servers which contain many resources. The resources can be made to be shared among many users who are the tenants to the cloud computing system. The resources can be virtualized so as to provide shared resources to the clients. Scheduling is one of the most important task of a cloud computing system which is concerned with task scheduling, resource scheduling and scheduling Virtual Machin Migration. It is important to understand the issue of scheduling within a cloud computing system more in-depth so that any improvements with reference to scheduling can be investigated and implemented. For carrying in depth research, an OPEN source based cloud computing system is needed. OPEN STACK is one such OPEN source based cloud computing system that can be considered for experimenting the research findings that are related to cloud computing system. In this paper an overview on the way the Scheduling aspect per say has been implemented within OPEN STACK cloud computing system

scholarly journals Analisis Teknologi Virtual Mesin Proxmox Dalam Rangka Persiapan Infrastruktur Server

2020 ◽  
Vol 5 (3) ◽  
pp. 69-72
Author(s):  
Yudha Christianto Firmansyah ◽  
Wing Wahyu Winarno ◽  
Eko Pramono
Keyword(s):  
Cloud Computing ◽  
Open Source ◽  
Virtual Machine ◽  
Virtual Appliance ◽  
Microsoft Windows

Teknologi virtualisasi dalam dunia komputasi saat ini menjadi topik hangat untuk diperbincangkan dalam pembahasan riset teknologi yang dipergunakan pada server. Virtualisasi dan kontainer merupakan bagian yang sangat penting dalam pengoptimalisasian server, karena sangat berpengaruh pada efisiensi pengelolaan resource infrastruktur server itu sendiri. Pembuatan sebuah server yang baik membutuhkan biaya yang tidak sedikit apalagi untuk membangun hingga menjadi sebuah cloud computing. Supaya biaya dapat ditekan dan murah maka digunakanlah virtualisasi server. Virtualisasi server ialah membangun server pada sebuah komputer atau laptop menggunakan media machineware. Dalam VM tersebut dibangun beberapa server dengan sistem operasi berbeda, baik dari Microsoft Windows maupun Linux dengan variannya, semua sistem operasi berjalan bersamaan. Proxmox merupakan software open source Virtualization Platform untuk menjalankan Virtual Appliance dan Virtual Machine. Proxmox VE adalah distro khusus yang didedikasikan secara khusus sebagai mesin host virtualisasi sistem dan memuat 2 teknologi virtualisasi, yaitu KVM dan OpenVZ. Dari basil penelitian dapat disimpulkan bahwa ProxmoxVE dapat menjalankan mesin virtual secara penuh layaknya baremetal hypervisor. Hal ini ditunjukkan dengan berjalannya beberapa VM dalam satu server untuk menjalankan sistem maupun aplikasi yang dipergunakan pada institusi tersebut sehingga dapat menekan pengeluaran biaya untuk pembelian server.

NoSQL Databases

2014 ◽  
pp. 186-215 ◽  
Author(s):  
Ganesh Chandra Deka
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Processing ◽  
Open Source ◽  
Data Storage ◽  
Big Data Processing ◽  
Nosql Databases ◽  
Data Intensive ◽  
Huge Data ◽  
Data Intensive Applications

NoSQL databases are designed to meet the huge data storage requirements of cloud computing and big data processing. NoSQL databases have lots of advanced features in addition to the conventional RDBMS features. Hence, the “NoSQL” databases are popularly known as “Not only SQL” databases. A variety of NoSQL databases having different features to deal with exponentially growing data-intensive applications are available with open source and proprietary option. This chapter discusses some of the popular NoSQL databases and their features on the light of CAP theorem.

Secure Network Solutions for Enterprise Cloud Services

2015 ◽  
pp. 1464-1486
Author(s):  
Chengcheng Huang ◽  
Phil Smith ◽  
Zhaohao Sun
Keyword(s):  
Cloud Computing ◽  
Experimental Evidence ◽  
Open Source ◽  
Network Protocols ◽  
Cloud Services ◽  
Important Challenge ◽  
Secure Network ◽  
Cloud Network ◽  
User Friendly ◽  
Implementation Stage

Securing a cloud network is an important challenge for delivering cloud services to enterprise clouds. There are a number of secure network protocols, such as VPN protocols, currently available, to provide different secure network solutions for enterprise clouds. For example, PPTP, IPSec, and SSL/TLS are the most widely used VPN protocols in today's securing network solutions. However, there are some significant challenges in the implementation stage. For example, which VPN solution is easy to deploy in delivering cloud services? Which VPN solution is most user-friendly in enterprise clouds? This chapter explores these issues by implementing different VPNs in a virtual cloud network environment using open source software and tools. This chapter also reviews cloud computing and cloud services and looks at their relationships. The results not only provide experimental evidence but also facilitate the network implementers in deployment of secure network solutions for enterprise cloud services.

Emerging Trends of Big Data in Cloud Computing

2021 ◽  
pp. 38-55
Author(s):  
Poonam Nandal ◽  
Deepa Bura ◽  
Meeta Singh
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Processing ◽  
Open Source ◽  
Software Framework ◽  
Effective Solution ◽  
Apache Hadoop ◽  
Large Sets ◽  
Exponential Increase ◽  
Emerging Trends

In today's world where data is accumulating at an ever-increasing rate, processing of this big data was a necessity rather than a need. This required some tools for processing as well as analysis of the data that could be achieved to obtain some meaningful result or outcome out of it. There are many tools available in market which could be used for processing of big data. But the main focus on this chapter is on Apache Hadoop which could be regarded as an open source software based framework which could be efficiently deployed for processing, storing, analyzing, and to produce meaningful insights from large sets of data. It is always said that if exponential increase of data is processing challenge then Hadoop could be considered as one of the effective solution for processing, managing, analyzing, and storing this big data. Hadoop versions and components are also illustrated in the later section of the paper. This chapter majorly focuses on the technique, methodology, components, and methodologies adopted by Apache Hadoop software framework for big data processing.

Applying Kolb Learning Experiential Theory with Cloud Computing in Higher Education Institutions

2016 ◽  
pp. 1968-2000 ◽  
Author(s):  
Camilius Aloyce Sanga ◽  
George Kibirige
Keyword(s):  
Cloud Computing ◽  
Developing Countries ◽  
Open Source ◽  
Digital Libraries ◽  
Low Cost ◽  
Information Storage ◽  
Learning And Teaching ◽  
Library Resources ◽  
Ict Infrastructure ◽  
The Way

The maturity of free and open source movement has brought a number of ICT tools. It has affected the way courses are delivered, the way contents are developed, the way data are interoperable, the way learning and teaching materials are shared, the way learners access classes and the way library resources are shared. In developing countries, several libraries are migrating into digital libraries using low cost technologies readily available due to open access, free and open source technology and e-publishing tools. Recent development of cloud computing technology provides state of art tools for libraries. It provides a common platform for easy information storage and sharing. Thus, there is lowering of the cost required to procure and manage library ICT infrastructure due to the capability of that cloud computing which allows the storage to be on a single, efficient system that saves cost and time. In developing countries where most libraries suffer from limited budgets for ICT services, it is anticipated that the future of digital libraries is on cloud libraries.

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