scholarly journals EXPLORING CONFIDENTIAL DEDUPLICATION OF DATA USING BIG DATA IN CLOUD COMPUTING STORAGE

2020 ◽  
Vol 5 (8) ◽  
Author(s):  
Thangarasan T ◽  
Jaikumar B ◽  
Keerthana R ◽  
Prakash P
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Reaction Time ◽  
Private Cloud ◽  
Trade Off ◽  
Cloud Structure ◽  
Ready Time

To decrease the selecting time and reaction time between Token deals and reaction, File move or download mentioning and results. It diminishes the extent of extra room in flowed limit. To ensure about the assurance of information differential confirmed copy check is utilized. It presents this supported copy check in half and half cloud structure. The mutt cloud arrangement proposes about both the open cloud and the private cloud. So as to give progressively conspicuous security, the private cloud is equipped with staggered check. Kinds of progress in scattered figuring are inciting a promising future for Collaborative Cloud Computing (CCC). To decrease the getting ready time and reaction time between Token deals and reaction, File move or download mentioning and results. Where comprehensive dispersed dissipated cloud assets having a spot with various affiliations or people (i.e., segments) are aggregately utilized in a strong strategy to give organizations. The records are dealt with in the cloud. That is each customer selects an information key to encode the information that he plans to store in the cloud. It depicts a computationally unassuming procedure for making all log portions made. Going before the logging machine's trade off unfathomable for the assailant to examine and besides hard to elusively adjust or wreck. Each Client computes an information key to encode the information that he would like to store in the cloud

The New “ABC” of ICTs (Analytics + Big Data + Cloud Computing)

Big Data ◽  
2016 ◽  
pp. 2165-2198
Author(s):  
José Carlos Cavalcanti
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Information And Communication Technologies ◽  
Communication Technologies ◽  
Data Capture ◽  
Unstructured Data ◽  
Network Computing ◽  
Time Data ◽  
Trade Off ◽  
Information And Communication

Analytics (discover and communication of patterns, with significance, in data) of Big Data (basically characterized by large structured and unstructured data volumes, from a variety of sources, at high velocity - i.e., real-time data capture, storage, and analysis), through the use of Cloud Computing (a model of network computing) is becoming the new “ABC” of information and communication technologies (ICTs), with important effects for the generation of new firms and for the restructuring of those ones already established. However, as this chapter argues, successful application of these new ABC technologies and tools depends on two interrelated policy aspects: 1) the use of a proper model which could help one to approach the structure and dynamics of the firm, and, 2) how the complex trade-off between information technology (IT) and communication technology (CT) costs is handled within, between and beyond firms, organizations and institutions.

The New “ABC” of ICTs (Analytics + Big Data + Cloud Computing)

2016 ◽  
pp. 152-186
Author(s):  
José Carlos Cavalcanti
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Information And Communication Technologies ◽  
Communication Technologies ◽  
Data Capture ◽  
Unstructured Data ◽  
Network Computing ◽  
Time Data ◽  
Trade Off ◽  
Information And Communication

Analytics (discover and communication of patterns, with significance, in data) of Big Data (basically characterized by large structured and unstructured data volumes, from a variety of sources, at high velocity - i.e., real-time data capture, storage, and analysis), through the use of Cloud Computing (a model of network computing) is becoming the new “ABC” of information and communication technologies (ICTs), with important effects for the generation of new firms and for the restructuring of those ones already established. However, as this chapter argues, successful application of these new ABC technologies and tools depends on two interrelated policy aspects: 1) the use of a proper model which could help one to approach the structure and dynamics of the firm, and, 2) how the complex trade-off between information technology (IT) and communication technology (CT) costs is handled within, between and beyond firms, organizations and institutions.

scholarly journals Desain Dan Implementasi Hybrid Cloud Computing Sebagai Infrastruktur Untuk Analisis Big Data Menggunakan Analytic Hierarchy Process(AHP)

Techno Com ◽  
2018 ◽  
Vol 17 (4) ◽  
pp. 404-414
Author(s):  
Toga Aldila Cinderatama ◽  
Yoppy Yunhasnawa ◽  
Rinanza Zulmy Alhamri
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Cloud Provider ◽  
Hybrid Cloud ◽  
Public Cloud ◽  
Private Cloud ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Dalam implementasi big data biasanya membutuhkan sumber daya yang cukup besar untuk dapat melakukan analisis terhadap data-data yang jumlahnya sangat besar tersebut, hal ini biasanya menjadi kendala dikarenakan keterbatasan sumber daya yang dimiliki. Komputasi awan (cloud computing) yang salah satunya mempunyai sifat elasticity di dalamnya, menawarkan solusi keterbatasan sumber daya ini. Sumber daya yang terbatas misalkan dalam hal processor, RAM atau storage, dapat digabungkan dengan sumber daya yang dimiliki public cloud provider yang tersedia di market. Sehingga penggabungan 2 sumber daya ini, private cloud dan public cloud, diharapkan menjadi solusi untuk dapat mengimplementasikan analisis big data yang dapat diterapkan untuk analisis berbagai macam bidang. Secara umum penelitian ini bertujuan untuk mengimplementasikan hybrid cloud yang menggabungkan sumber daya dari private cloud dengan sumber daya dari public cloud sebagai infrastruktur untuk analisis big data. Secara khusus tujuan penelitian ini adalah merumuskan sebuah metode minimalisasi cost dalam pemilihan public cloud dengan pendekatan sistem pendukung keputusan menggunakan Fuzzy AHP pada pemilihan public cloud. Langkah pertama yang dilakukan dalam penelitian ini adalah pengumpulan data cost penggunaan resource dari public cloud. Selanjutnya dilakukan analisis kebutuhan sumber daya yang diperlukan untuk melalukan analisis big data dengan studi kasus topik tertentu. Selanjutnya tahap analisis terhadap pemilihan public cloud yang tepat untuk digunakan sumber dayanya dengan pertimbangan minimalisasi cost. Langkah terakhir adalah implementasi hybrid cloud dan melakukan analisis dan evaluasi terhadap metode yang diusulkan.

Challenges and Cloud Computing Environments Towards Big Data

2014 ◽  
pp. 203-208
Author(s):  
Kiran Kumar S V N Madupu
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Technology Development ◽  
Computing Environments ◽  
Modern Technologies

Big Data has terrific influence on scientific discoveries and also value development. This paper presents approaches in data mining and modern technologies in Big Data. Difficulties of data mining as well as data mining with big data are discussed. Some technology development of data mining as well as data mining with big data are additionally presented.

RANCANG BANGUN CLOUD COMPUTING DI LABORATORIUM KOMPUTER TEKNIK ELEKTRO UNIVERSITAS BANGKA BELITUNG

2014 ◽  
Vol 1 (1) ◽  
pp. 14-22
Author(s):  
Ghiri Basuki Putra
Keyword(s):  
Cloud Computing ◽  
Software As A Service ◽  
Private Cloud ◽  
Private Cloud Computing

Cloud computing telah menjadi hal yang menarik untuk dibahas dikarenakan perkembangannya yang begitu pesat sejak pertama kali diperkenalkan mulai tahun 2000. Pemanfaatan cloud computing kepada penyimpanan data, pemakaian software secara bersama- sama serta penggunaan infrastruktur dan hardware pada jaringan atau komputer yang tergabung dalam sebuah cloud computing. Dengan cloud computing diharapkan adanya efesiensi dan kemudahan dalam  sumber daya baik software, data maupun hardware agar dapat digunakan bersama – sama. Perancangan cloud computing untuk laboratorium komputer Teknik Elektro Universitas Bangka Belitung bertujuan sebagai rancangan awal untuk pengembangan laboratorium komputer serta sebagai pusat pembelajaran dan penelitian cloud computing bagi mahasiswa Teknik Elektro. Perancangan cloud computing ini menggunakan metode Software as a Service (SaaS) dimana SaaS adalah layanan dari Cloud Computing dimana memakai software (perangkat lunak) yang telah disediakan sehingga tidak perlu setiap komputer di laboratorium menginstall software yang diperlukan selama tersedia di layanan Cloud Computing. Rancangan cloud computing di laboratorium menggunakan Private Cloud Computing merupakan pemodelan Cloud Computing yang memberikan lingkup yang lebih kecil untuk dapat memberikan layanan kepada pengguna tertentu misalnya pada sebuah jaringan komputer  lokal maupun pada skala perusahaan kecil maupun menengah.

A Study for VM Placement Schemes in Cloud

2017 ◽  
Vol 7 (8) ◽  
pp. 208
Author(s):  
Ramandeep Kaur ◽  
Navpreet Kaur
Keyword(s):  
Cloud Computing ◽  
Reaction Time ◽  
Task Scheduling ◽  
Specific Time ◽  
Due Date ◽  
Vm Placement ◽  
Time Task ◽  
Wide Range ◽  
The Web

The cloud computing can be essentially expressed as aconveyance of computing condition where distinctive assets are conveyed as a support of the client or different occupants over the web. The task scheduling basically concentrates on improving the productive use of assets and henceforth decrease in task fruition time. Task scheduling is utilized to allot certain tasks to specific assets at a specific time occurrence. A wide range of systems has been exhibited to take care of the issues of scheduling of various tasks. Task scheduling enhances the productive use of asset and yields less reaction time with the goal that the execution of submitted tasks happens inside a conceivable least time. This paper talks about the investigation of need, length and due date based task scheduling calculations utilized as a part of cloud computing.

Workflow Scheduling for Scientific Application in Homogeneous Cloud Environment

2017 ◽  
Vol 7 (7) ◽  
pp. 137
Author(s):  
. Monika ◽  
Pardeep Kumar ◽  
Sanjay Tyagi
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Large Data ◽  
Workflow Scheduling ◽  
Cloud Environment ◽  
Computing Environment ◽  
Scientific Application ◽  
Cloud Computing Environment ◽  
Flow Of Information

In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.

Issues in security and privacy of big data

2018 ◽  
Vol 7 (12) ◽  
pp. 1
Author(s):  
Shaveta Bhatia
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Approximate Method ◽  
Biomedical Research ◽  
Cyber Security ◽  
Data Science ◽  
Third Party ◽  
Security And Privacy ◽  
Security Threats ◽  
The Third

 The epoch of the big data presents many opportunities for the development in the range of data science, biomedical research cyber security, and cloud computing. Nowadays the big data gained popularity.  It also invites many provocations and upshot in the security and privacy of the big data. There are various type of threats, attacks such as leakage of data, the third party tries to access, viruses and vulnerability that stand against the security of the big data. This paper will discuss about the security threats and their approximate method in the field of biomedical research, cyber security and cloud computing.

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