A Comprehensive Study on Commercial Applications of Cloud Computing

2020 ◽  
Vol 17 (9) ◽  
pp. 4411-4418
Author(s):  
S. Jagannatha ◽  
B. N. Tulasimala
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
High Performance ◽  
Large Scale ◽  
Service Providers ◽  
Cost Effective ◽  
Computer Hardware ◽  
Computing Technology ◽  
Computing Systems ◽  
Computational Performance

In the world of information communication technology (ICT) the term Cloud Computing has been the buzz word. Cloud computing is changing its definition the way technocrats are using it according to the environment. Cloud computing as a definition remains very contentious. Definition is stated liable to a particular application with no unanimous definition, making it altogether elusive. In spite of this, it is this technology which is revolutionizing the traditional usage of computer hardware, software, data storage media, processing mechanism with more of benefits to the stake holders. In the past, the use of autonomous computers and the nodes that were interconnected forming the computer networks with shared software resources had minimized the cost on hardware and also on the software to certain extent. Thus evolutionary changes in computing technology over a few decades has brought in the platform and environment changes in machine architecture, operating system, network connectivity and application workload. This has made the commercial use of technology more predominant. Instead of centralized systems, parallel and distributed systems will be more preferred to solve computational problems in the business domain. These hardware are ideal to solve large-scale problems over internet. This computing model is data-intensive and networkcentric. Most of the organizations with ICT used to feel storing of huge data, maintaining, processing of the same and communication through internet for automating the entire process a challenge. In this paper we explore the growth of CC technology over several years. How high performance computing systems and high throughput computing systems enhance computational performance and also how cloud computing technology according to various experts, scientific community and also the service providers is going to be more cost effective through different dimensions of business aspects.

Minimization of Energy Using Heuristic Resource Allocation and Migration for Cloud Computing

2021 ◽  
Vol 12 (1) ◽  
pp. 74-83
Author(s):  
Manjunatha S. ◽  
Suresh L.
Keyword(s):  
Cloud Computing ◽  
Data Center ◽  
Large Scale ◽  
Data Centers ◽  
Service Providers ◽  
Cost Effective ◽  
Cooling Systems ◽  
Operational Costs ◽  
Cloud Computing Service ◽  
And Migration

Data center is a cost-effective infrastructure for storing large volumes of data and hosting large-scale service applications. Cloud computing service providers are rapidly deploying data centers across the world with a huge number of servers and switches. These data centers consume significant amounts of energy, contributing to high operational costs. Thus, optimizing the energy consumption of servers and networks in data centers can reduce operational costs. In a data center, power consumption is mainly due to servers, networking devices, and cooling systems, and an effective energy-saving strategy is to consolidate the computation and communication into a smaller number of servers and network devices and then power off as many unneeded servers and network devices as possible.

A Review: Map Reduce Framework for Cloud Computing

2018 ◽  
Vol 7 (4.6) ◽  
pp. 13
Author(s):  
Mekala Sandhya ◽  
Ashish Ladda ◽  
Dr. Uma N Dulhare ◽  
. . ◽  
. .
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Distributed Computing ◽  
Data Storage ◽  
High Performance ◽  
Large Scale ◽  
Distributed Storage ◽  
Large Data ◽  
Mass Data ◽  
Internet Information

In this generation of Internet, information and data are growing continuously. Even though various Internet services and applications. The amount of information is increasing rapidly. Hundred billions even trillions of web indexes exist. Such large data brings people a mass of information and more difficulty discovering useful knowledge in these huge amounts of data at the same time. Cloud computing can provide infrastructure for large data. Cloud computing has two significant characteristics of distributed computing i.e. scalability, high availability. The scalability can seamlessly extend to large-scale clusters. Availability says that cloud computing can bear node errors. Node failures will not affect the program to run correctly. Cloud computing with data mining does significant data processing through high-performance machine. Mass data storage and distributed computing provide a new method for mass data mining and become an effective solution to the distributed storage and efficient computing in data mining. 

An Approach to Data Confidentiality Protection in Cloud Environments

2012 ◽  
Vol 9 (3) ◽  
pp. 67-83 ◽  
Author(s):  
Stephen S. Yau ◽  
Ho G. An ◽  
Arun Balaji Buduru
Keyword(s):  
Cloud Computing ◽  
Data Processing ◽  
Data Storage ◽  
Service Providers ◽  
Data Confidentiality ◽  
Sensitive Data ◽  
Computing Systems ◽  
Cloud Application ◽  
Cloud Infrastructures ◽  
Processing Service

In current cloud computing systems, because users’ data is stored and processed by computing systems managed and operated by various service providers, users are concerned with the risks of unauthorized usage of their sensitive data by various entities, including service providers. The current cloud computing systems protect users’ data confidentiality from all entities, except service providers. In this paper, an approach is presented for improving the protection of users’ data confidentiality in cloud computing systems from all entities, including service providers. The authors’ approach has the following features: (1) separation of cloud application providers, data processing service providers and data storage providers, (2) anonymization of users’ identities, (3) grouping cloud application components and distributing their execution to distinct cloud infrastructures of data processing service providers, and (4) use of data obfuscation and cryptography for protecting the sensitive data from unauthorized access by all entities, including service providers. The proposed approach ensures that users’ sensitive data can be protected from their service providers even if the users do not have full cooperation from their service providers.

Comparison Study of Different NoSQL and Cloud Paradigm for Better Data Storage Technology

2018 ◽  
pp. 312-343
Author(s):  
Pankaj Lathar ◽  
K. G. Srinivasa ◽  
Abhishek Kumar ◽  
Nabeel Siddiqui
Keyword(s):  
Cloud Computing ◽  
Data Management ◽  
Data Storage ◽  
High Performance ◽  
Large Scale ◽  
Web Based ◽  
Storage Technology ◽  
Data Store ◽  
Challenges And Opportunities ◽  
User Data

Advancements in web-based technology and the proliferation of sensors and mobile devices interacting with the internet have resulted in immense data management requirements. These data management activities include storage, processing, demand of high-performance read-write operations of big data. Large-scale and high-concurrency applications like SNS and search engines have appeared to be facing challenges in using the relational database to store and query dynamic user data. NoSQL and cloud computing has emerged as a paradigm that could meet these requirements. The available diversity of existing NoSQL and cloud computing solutions make it difficult to comprehend the domain and choose an appropriate solution for a specific business task. Therefore, this chapter reviews NoSQL and cloud-system-based solutions with the goal of providing a perspective in the field of data storage technology/algorithms, leveraging guidance to researchers and practitioners to select the best-fit data store, and identifying challenges and opportunities of the paradigm.

scholarly journals An Enhanced Data Storage Technique on Cloud Computing

2021 ◽  
Vol 1 (3) ◽  
pp. 1-4
Author(s):  
Kamlesh Sharma* ◽  
Nidhi Garg
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Party System ◽  
Large Scale ◽  
Service Providers ◽  
Storage System ◽  
Third Party ◽  
Storage Servers ◽  
Security Concern ◽  
Storage Technique

Exercising a collection of similar numerous easy to get sources and resources over the internet is termed as Cloud Computing A Cloud storage system is basically a storage system over a large scale that consist of many independent storage servers. During recent years a huge changes and adoption is seen in cloud computing so security has become one of the major concerns in it. As Cloud computing works on third party system so security concern is there not only for customers but also for service providers. In this paper we have discussed about Cryptography i.e., encrypting messages into certain forms, it’s algorithms including symmetric and asymmetric algorithm and hashing, its architecture, and advantages of cryptography.

scholarly journals Privacy Preserving Technique for Data Storage in Cloud Computing

2018 ◽  
Vol 7 (2) ◽  
pp. 67-73
Author(s):  
Jagpreet Kaur ◽  
Nitin Goel
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Service Providers ◽  
Cost Effective ◽  
Security And Privacy ◽  
Security Threats ◽  
Effective Power ◽  
Encrypted Data ◽  
Power Efficient ◽  
Reduced Data

With the emergence of Cloud computing, the traditional computing process has undergone a sea change. Cloud Computing has been proving to be a boon for IT industries in terms of its ability to provide cost effective, power efficient, extensible and pliable computing. Because of its substantial flexibility, Cloud Computing has become an escalate platform for the services of next generation. But inspite of all the advantages, security and privacy of the data being shared on Cloud remains a cause of concern for the users as well as service providers. This paper proposes a ‘Tortoise technique’ aiming to provide more privacy to user’s data without any kind of security threats from outside. As a part of the technique, reduced data is sent to cloud instead of the original encrypted data. We observed an improvement to an order of 2n in the security of data with the help of the proposed technique.

scholarly journals Implementasi High Availability Cloud Storage Dengan Metode Replikasi dan Failover Pada Laboratorium Teknik Informatika

Repositor ◽  
2020 ◽  
Vol 2 (2) ◽  
pp. 165
Author(s):  
Miftakhudin Kusuma Wijaya ◽  
Zamah Sari ◽  
Mahar Faiqurahman
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Storage ◽  
Human Error ◽  
Large Scale ◽  
Service Providers ◽  
Data Synchronization ◽  
Data Loss ◽  
Storage Media ◽  
Time Availability

ABSTRAKCloud storage merupakan salah satu bentuk dari cloud computing yang terpusat pada media penyimpanan data. Dalam cloud storage ada kemungkinan yang di alami seperti kehilangan data dengan sekala kecil maupun besar, ataupun tidak dapat di akses sama sekali. Kesalahan yang terjadi akibat bencana alam, kesalahan manusia, ataupun alat yang cukup usang. Dari permasalahan tersebut di lakukan backup dan sinkronisasi data untuk menanggulangi permasalahan yang ada. Replikasi adalah proses yang di gunakan untuk menyalin atau mendistribusikan data dari penyedia layanan ke perangkat backup. Replikasi yang di gunakan ada dua yaitu replikasi database MySql dan replikasi data Rsync, dan untuk menjaga agar cloud storage tetap menyediakan sumber daya untuk pengguna dengan menambahkan metode failover. Failover adalah peralihan dari sebuah perangkat penyedia layanan ke perangkat backup ketika mengalami permasalahan yang tidak di inginkan. Pada penelitian ini akan menjelaskan bagaimana cara membangun dan mengimplementasi infrastruktur cloud storage dengan replikasi untuk backup juga sinkronisasi data dan failover untuk memberikan ketersediaan sumber daya layanan untuk pengguna secara realtime.ABSTRACTCloud storage is one form of cloud computing but is centered on data storage media. In cloud storage there is the possibility of data loss with small or large scale or can not be accessed at all. It can happen from natural disasters, human error, or device oldness. From these problems we can do data backup and data synchronization to overcome these problems. Replication is a process that used to copy or distribute data from service providers to backup devices. This replication using two ways, there is replication database using MySql and data replication using Rsync. To keep cloud storage provide resource for user by adding failover. This failover is a transition from a service provider device when having problems to backup device. In this study will explain how to build and implementation cloud storage infrastructure with replication for backup as well as data synchronization and failover to provide real-time availability of service resources for users.

Utilizing Open Source Cloud Computing Environments to Provide Cost Effective Support for University Education and Research

2012 ◽  
pp. 32-49 ◽  
Author(s):  
Patrick Dreher ◽  
Mladen Vouk
Keyword(s):  
Cloud Computing ◽  
Open Source ◽  
High Performance ◽  
Teaching And Learning ◽  
Cost Effective ◽  
University Education ◽  
Learning Needs ◽  
Computing Technology ◽  
North Carolina State University ◽  
Electronic Teaching

This chapter describes an economical and scalable open source cloud computing technology suitable for a university environment where the need is to simultaneously serve a diverse spectrum of educational and research missions. In particular, this chapter reviews a cloud computing technology called Virtual Computing Lab (VCL, http://vcl.ncsu.edu). This open source technology was originally designed and built at North Carolina State University (NCSU), and its seamlessly supports both the electronic teaching and learning needs of the university as well as a robust environment for faculty high performance computing research needs. Extensive data from the NCSU VCL production system show the economic scalability of the solutions. The authors discuss economic viability of the solution and the trade-off analysis that needs to be done to understand how much of the equipment, virtualization, and workload balancing among on-demand and background workloads need to happen.

Energy Management in Cloud Computing

2016 ◽  
pp. 293-309 ◽  
Author(s):  
Ganesh Neelakanta Iyer ◽  
Pattabhi Mary Jyosthna ◽  
Suman Jonnalagadda
Keyword(s):  
Cloud Computing ◽  
Co2 Emission ◽  
Business Performance ◽  
High Performance ◽  
Service Providers ◽  
Cloud Service ◽  
High Energy ◽  
Operational Cost ◽  
Computing Systems

Due to the growing demand of businesses, enterprises are concentrating on performance improvement as well as investment reduction for their applications. Cloud Computing, an emerging technology which provides enormous services through internet is the best choice for the enterprises to improve their business performance and to reduce their capital budget. Cloud datacenters have thousands of servers to provide uninterrupted services to the consumers. These High Performance Computing systems consumes high energy, which leads to increase in Cloud Service Providers operational cost. Apart from the operational cost it also increases CO2 emission, which causes Global warming. So many researchers are evolving engineering techniques that are required to improve performance as well as optimization in power consumption. This chapter describes some of the techniques that are used to reduce operational cost, CO2 emission, SLA violation and able to maintain Quality of Service (QoS). It also describes about limitations on existing methods and further enhancement issues for better performance.

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