Managing Resources in Cloud: Chrome Extension to OpenStack

One of the emerging techniques is cloud computing. This cloud service provides the access to the computers and their resources virtually through different models like public, private and hybrid. This paper concentrates in setting up a private cloud using the open source software “OpenStack”. The existing dashboard Horizon shows the memory size and number of virtual CPUs allocated to each instance but does not give the summary of the resources consumed on the whole by the host. We focus on creating a chrome extension that provides the state of the instances and total amount of resources consumed in each host. This resource utilization information can be utilized by the administrator to do the dynamic migration to use the resources in an effective way, minimize the power consumption by migrating instances from less utilized hosts to other hosts. The developed chrome extension provides details of instances such as the state of each instance which shows whether the instance is in Build, Active or Terminated state. Besides, it provides details such as CPU utilization, memory utilization and disk utilization of each host which are not displayed in the default dashboard of OpenStack. This extension also provides an alert message to the administrator when there is over-utilization and under-utilization of resources in a host. In this paper we have designed a chrome extension for OpenStack which can be utilized by the cloud administrators to manage the resources in the data center.

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ALGORITHM FOR TASK CONSOLIDATION IN CLOUD COMPUTING: A COMPARATIVE SURVEY

International Journal of Research -GRANTHAALAYAH ◽

10.29121/granthaalayah.v6.i5.2018.1479 ◽

2018 ◽

Vol 6 (5) ◽

pp. 340-345

Author(s):

Rajat Pugaliya ◽

Madhu B R

Keyword(s):

Cloud Computing ◽

Energy Consumption ◽

Resource Utilization ◽

Service Provider ◽

Virtual Machines ◽

Cloud Service ◽

Cloud Service Provider ◽

Dynamic Task ◽

Main Challenge ◽

High Level

Cloud Computing is an emerging field in the IT industry. Cloud computing provides computing services over the Internet. Cloud Computing demand increasing drastically, which has enforced cloud service provider to ensure proper resource utilization with less cost and less energy consumption. In recent time various consolidation problems found in cloud computing like the task, VM, and server consolidation. These consolidation problems become challenging for resource utilization in cloud computing. We found in the literature review that there is a high level of coupling in resource utilization, cost, and energy consumption. The main challenge for cloud service provider is to maximize the resource utilization, reduce the cost and minimize the energy consumption. The dynamic task consolidation of virtual machines can be a way to solve the problem. This paper presents the comparative study of various task consolidation algorithms.

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

International Journal of Information System Modeling and Design ◽

10.4018/ijismd.2020010102 ◽

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.

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A Survey of Cloud Computing Data Virtualization Service

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.441.1016 ◽

2013 ◽

Vol 441 ◽

pp. 1016-1019 ◽

Cited By ~ 2

Author(s):

Lei Xiao ◽

Wei Jiang ◽

Fang Xin Chen ◽

Le Jiang Guo ◽

Ya Hui Hu

Keyword(s):

Cloud Computing ◽

Data Center ◽

Network Virtualization ◽

Cloud Service ◽

Cloud Services ◽

Support Network ◽

Research Progress ◽

Key Technologies ◽

Cloud Applications ◽

Recent Research Progress

Cloud computing is becoming a mainstream aspect of information technology. How to efficiently manage the cloud resources across multiple cloud domains is critical for providing continuous cloud services. This paper introduces the principle and review recent research progress on cloud service to support network virtualization. It presents a framework of network-Cloud convergence based on data center network and gives a survey on key technologies for realizing cloud center and service; the reliability of cloud applications can be greatly improved.

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Investigation on the Services of Private Cloud Computing by Using ADAM Method

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v6i5.pp2387-2395 ◽

2016 ◽

Vol 6 (5) ◽

pp. 2387

Author(s):

Nur Widiyasono ◽

Imam Riadi ◽

Ahmad Luthfie

Keyword(s):

Cloud Computing ◽

Service Providers ◽

Cloud Service ◽

Cloud Services ◽

Digital Data ◽

Laboratory Simulation ◽

Private Cloud ◽

Computing Services ◽

Cloud Computing Services ◽

Private Cloud Computing

Cloud services are offered by many cloud service providers, but in for large companies generally are build by a private cloud computing. In cloud systems of abuse it can be done by internal users or due to misconfiguration or may also refer to weaknesses in the system. This study evaluated the ADAM method (Advanced Data Acquisition Model) and tested the case schemes which are being carried out in the laboratory simulation of the process in order to obtain forensic evidence of digital data on private cloud computing services. Referring to the results of the investigation process by using ADAM Method, it can be verified that there are several parameters of the success investigation including the structure of files, files, time stamp, mac-address, IP address, username password, and the data from a server both from the desktop PC or smartphone, therefore the investigation by using ADAM can be succesed properly and correctly. Another contribution of this study was to identify the weaknesses of the service system that used owncloud in users list of the the same group can change another’s user’s passwod.

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Status of Cloud Service Adoption in Climate Risk Country

Journal of Energy and Natural Resource Management ◽

10.26796/jenrm.v2i0.44 ◽

2018 ◽

Vol 2 (2) ◽

pp. 51-54

Author(s):

E.O. Opoku

Keyword(s):

Cloud Computing ◽

Data Center ◽

Service Providers ◽

Cloud Service ◽

Cloud Services ◽

Service Adoption ◽

Cloud Computing Service ◽

Cloud Brokerage ◽

Brokerage Firms ◽

Local Cloud

Ghana has attained cloud readiness indices facilitating services adoption by local enterprises through brokerage firms. Accordingto Gartner group by 2015, at least 20% of all cloud services will be consumed via internal or external cloud service brokerages,rather than directly with service providers. It means enterprises must identify local cloud brokerage firms to intermediate for cloudclients and service providers. We aimed at surveying cloud service awareness among enterprises in Ghana. We performed fieldstudy using statistical tool to analyze data collected among 45-participants spread across 20 local enterprises, using purposivesampling in the selection of strategic enterprise managers located in the second largest city, Kumasi, Ghana. We employedDelphi technique involving three Information Technology experts to validate responses in reducing margin of error in the analysis.We found that 67% respondents are unaware of local cloud service brokerage firms. Alternatively, 33% respondents mentioned atleast one local cloud brokerage firm; although experts believed some did a chess guessing to have it correct. Our Delphi expertsattributed this alarming percentile to lack of policy stakeholders involvement in ensuring cloud adoption readiness. We concludedon effective sensitization of cloud computing service adoption in optimizing data center proliferation by enterprises in Ghana.Adopting cloud computing over data center helps in reducing global warming contributed by heat emissions from computingservers.

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Data Center Enhancement by Server Resources Utilization

Engineering and Technology Journal ◽

10.30684/etj.v39i1b.174 ◽

2021 ◽

Vol 39 (1B) ◽

pp. 203-208

Author(s):

Haider A. Ghanem ◽

Rana F. Ghani ◽

Maha J. Abbas

Keyword(s):

Cloud Computing ◽

Power Consumption ◽

Resource Utilization ◽

Virtual Machine ◽

Data Center ◽

Data Centers ◽

Virtual Machines ◽

The Internet ◽

Memory Resources

Data centers are the main nerve of the Internet because of its hosting, storage, cloud computing and other services. All these services require a lot of work and resources, such as energy and cooling. The main problem is how to improve the work of data centers through increased resource utilization by using virtual host simulations and exploiting all server resources. In this paper, we have considered memory resources, where Virtual machines were distributed to hosts after comparing the virtual machines with the host from where the memory and putting the virtual machine on the appropriate host, this will reduce the host machines in the data centers and this will improve the performance of the data centers, in terms of power consumption and the number of servers used and cost.

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Does Selection of Open Source Cloud Computing Platforms is a Confusing Task?

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.a1978.059120 ◽

2020 ◽

Vol 9 (1) ◽

pp. 829-833

Keyword(s):

Information Technology ◽

Cloud Computing ◽

Open Source ◽

Open Source Software ◽

Hybrid Cloud ◽

Cloud Platform ◽

Private Cloud ◽

Cloud Management ◽

Computing Platforms ◽

Selection Of

Over the last few years the majority of small and large companies moving to cloud computing to develop IT solutions for businesses. It is technology which provides distributed and dynamically shared computing resources using certain operating techniques. In the revolution of information technology, cloud computing is becoming a key paradigm. Cloud computing further classified as Public, Private and Hybrid Cloud. It provides three services which are categorized as Infrastructure-as-Service, Platform-as-Service and Software-as-Service. Open source cloud management platforms providing Infrastructure-as-a-service are now commonly used because of the fastest growth of cloud. Many open source softwares are available for deploying public or private cloud. This paper provides a brief review and comparison of five well-known open source cloud software i.e. OpenNebula, Eucalyptus, OpenStack, Nimbus and CloudStack providing IaaS on the basis of their similar features and technology used. After reviewing the importance and features, we have found OpenStack Cloud Platform is more reliable and useful for the enterprises and organization because of its feature and rapid improvements in its features. The distinction in this paper is believed to help people to choose the suitable open source software according to their need.

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Implementasi Data Center Untuk Penempatan Host Server Berbasis Private Cloud Computing

KREA-TIF ◽

10.32832/kreatif.v7i1.2031 ◽

2019 ◽

Vol 7 (1) ◽

pp. 50

Author(s):

Yuggo Afrianto ◽

Ade Hendri Hendrawan

Keyword(s):

Cloud Computing ◽

Life Cycle ◽

Data Center ◽

Bare Metal ◽

Network Development ◽

Private Cloud ◽

Infrastructure As A Service ◽

Ibn Khaldun ◽

Development Life Cycle ◽

Private Cloud Computing

private cloud computing dengan layanan Infrastructure as a Service (IaaS), yaitu tentang layanan sumber daya komputasi yang di virtualisasikan pada kampus Universitas Ibn khaldun Bogor (UIKA) dengan tujuan penggunan sumber daya komputasi tak terbatas sesuai dengan kebutuhan atau selalu bertambah sesuai dengan kebutuhan, pengguna dapat dengan mudah merubah dan merekonfigurasi sumber daya yang dikuasinya, sekaligus menjadi salah satu cara penghematan biaya penyedian sumber daya hardware server. Tujuan penelitian ini adalah menerapkan penempatan host server yang ada saat ini secara fisik menjadi berbasis virtualisasi. Metode penelitian yang digunakan adalah Network Development Life Cycle (NDLC) sebagai langkah-langkah dalam mendesain proses implementasi dan analisis. Hasil penelitian ini adalah simtem layanan private cloud computing berbasis IaaS di data center kampus Universitas ibn khaldun (UIKA), dapat diterapkan menggunakan metode hypervisor native bare metal dan aplikasi proxmox. Hasil pengujian menyatakan bahwa data center berbasis IaaS secara sumber daya dapat menghemat, mengoptimalkan, dan pengelolaan sumberdaya dari kebutuhan layanan sistem infomasi yang harus di sediakan kampus UIKA. Berdasarkan uji usability menunjukkan aplikasi proxmox telah sesuai dengan kebutuhan manajemen yang ada pada administrator IT kampus UIKA, yang memenuhi aspek Learnability, Efficiency, Memorability, Errors, dan Satisfaction.

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ANALISIS KEAMANAN PRIVATE CLOUD BERBASIS FRAMEWORK NISTCY DI PT XYZ

Jurnal Teknologi dan Manajemen ◽

10.52330/jtm.v19i1.11 ◽

2021 ◽

Vol 19 (1) ◽

pp. 41-46

Author(s):

Risma Anggraini

Keyword(s):

Cloud Computing ◽

Data Center ◽

Private Cloud

Cloud computing merupakan teknologi yang menjadikan internet sebagai pusat pengelolaan data. Dengan berkembangan yang pesat tak lepas dari ancaman yang mengintai. PT XYZ adalah perusahaan penyedian solusi IT yang memiliki private cloud pada data center. Tujuan dari untuk melakukan analisis keamanan sistem informasi, mengetahui kekurangan dan menghasilkan rekomentasi keamanan sistem informasi private cloud di perusahaan. Dengan mengacu kepada framework NIST Cybersecurity dan menggunakan metode observasi dan wawancara kepada pihak terkait. Hasil dari penelitian adalah merencanakan tindakan, pengelolaan sumber daya manusia dan teknologi dan perangkat keamanan sistem informasi yang ada di private cloud agar bebas dari ancaman dan serangan, serta mendeteksi secara dini berbagai ancaman yang datang sehingga dapat ditangani dengan optimal, serta segala data dan informasi yang penting atau bersifat rahasia dapat tetap terjaga di private cloud perusahaan.

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Minimizing Energy Consumption by Task Consolidation in Cloud Centers with Optimized Resource Utilization

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v6i6.pp3283-3292 ◽

2016 ◽

Vol 6 (6) ◽

pp. 3283 ◽

Cited By ~ 1

Author(s):

Mahendra Kumar Gourisaria ◽

S. S. Patra ◽

P. M. Khilar

Keyword(s):

Cloud Computing ◽

Energy Consumption ◽

Power Consumption ◽

Resource Utilization ◽

Data Centers ◽

Carbon Dioxide Emission ◽

Computing Environment ◽

Energy Aware ◽

Cloud Computing Environment ◽

Cpu Utilization

Cloud computing is an emerging field of computation. As the data centers consume large amount of power, it increases the system overheads as well as the carbon dioxide emission increases drastically. The main aim is to maximize the resource utilization by minimizing the power consumption. However, the greatest usages of resources does not mean that there has been a right use of energy. Various resources which are idle, also consumes a significant amount of energy. So we have to keep minimum resources idle. Current studies have shown that the power consumption due to unused computing resources is nearly 1 to 20%. So, the unused resources have been assigned with some of the tasks to utilize the unused period. In the present paper, it has been suggested that the energy saving with task consolidation which has been saved the energy by minimizing the number of idle resources in a cloud computing environment. It has been achieved far-reaching experiments to quantify the performance of the proposed algorithm. The same has also been compared with the FCFSMaxUtil and Energy aware Task Consolidation (ETC) algorithm. The outcomes have shown that the suggested algorithm surpass the FCFSMaxUtil and ETC algorithm in terms of the CPU utilization and energy consumption.

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