Heterogeneous Data Storage Management with Deduplication Aware in Cloud Computing

2018 ◽  
Author(s):  
K Tulasi ◽  
Susmitha Karanam
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Heterogeneous Data ◽  
Storage Management

scholarly journals Heterogeneous Data Storage Management with Deduplication in Cloud Computing

2019 ◽  
Vol 5 (3) ◽  
pp. 393-407 ◽  
Author(s):  
Zheng Yan ◽  
Lifang Zhang ◽  
Wenxiu Ding ◽  
Qinghua Zheng
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Heterogeneous Data ◽  
Storage Management

Research on Distributed Heterogeneous Data Storage Algorithm in Cloud Computing Data Center

2014 ◽  
Vol 624 ◽  
pp. 553-556
Author(s):  
Jing Bo Yang ◽  
Shu Huang ◽  
Pan Jiang
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Center ◽  
Data Stream ◽  
Large Scale ◽  
Distributed Storage ◽  
Heterogeneous Data ◽  
Allocation Problem ◽  
Data Consistency ◽  
Storage Allocation

With the development of cloud computing, data center is also improved. cloud computing data center contains hundreds, even million of servers or PCs. It has many heterogeneous resources. Data center is a key to promise high scalability and resource usage of cloud computing. In addition, replica is introduced into data center, which is an important method to improve availability and performance. In this paper, the research on distributed storage algorithm based on the cloud computing. This algorithm uses the design of system storage level indicators within classification of massive data storage mechanism to solve the allocation problem of data consistency between the data center; and send communication packets between data centers through the cloud computing. The full storage can achieve complete local storage of each data stream, and solve the original data stream unusually large-scale data storage allocation problem.

Cloud Computing Environment Data Mining Storage Management Design

2013 ◽  
Vol 765-767 ◽  
pp. 850-853
Author(s):  
Feng Pan ◽  
Ping Lv
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Open Source ◽  
Data Storage ◽  
Information Access ◽  
Implementation Process ◽  
Storage Management ◽  
Financial Industry ◽  
Open Source Framework ◽  
Specific Implementation

In view of the current financial, securities, insurance and other industries data information management situation, need to use cloud computing technology on data storage management, enhance the data information access ability, through the application of cloud computation technology research, can improve the financial industry data mining capabilities. The specific implementation process to adopt open source framework is a shortcut. However, reference and use open source framework needs to be combined with their actual needs, through the analysis of the characteristics of Hadoop. The HDFS as Hadoop research foundation, the HDFS features are applied to the practical project, the establishment of HDFS fully supports the relational data model, data mining capacity upgrade.

PENGGUNAAN INTERNET OF THINGS DALAM PEMASARAN PRODUK PERTANIAN

2018 ◽  
Vol 3 (2) ◽  
pp. 74
Author(s):  
Helina Apriyani ◽  
Sismadi Sismadi ◽  
Sefrika Sefrika
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Data Storage ◽  
Electronic Devices ◽  
Agricultural Products ◽  
Main Concept ◽  
Farmers Market ◽  
Incremental Method ◽  
Sales Process ◽  
Internet Connections

AbstrakInternet of things (IoT) adalah sebuah konsep yang menghubungkan komputer dan perangkat elektronik melalui internet dan dapat dikendalikan dari jarak jauh. Konsep terpenting dalam Internet of things (Iot) adalah modul sistem informasi, koneksi internet dan penyimpanan datanya dalam cloud computing. Konsep ini memiliki manfaat besar dalam perkembangan usaha dan kelangsungan bisnis perusahaan dimana hampir semua bidang menggunakan IoT untuk dapat bersaing di pasaran. Indonesia merupakan sebuah negara yang dianugerahi kekayaan alam yang melimpah ruah. Salah satu komoditi unggulan adalah produk pertanian. Penelitian ini bertujuan untuk membantu para petani dalam memasarkan produknya melalui e-commerce dengan menggunakan konsep Internet of things IoT. Metode penelitian dengan menggunakan metode incremental.  Incremental digunakan untuk mendesai produk, kemudian  diimplementasikan, dan diuji secara bertahap (setiap modul akan ditambahkan bertahap) hingga produk selesai. Hasil penelitian ini digunakan untuk membantu petani di Kabupaten Bogor untuk mendistribusikan penjualannya secara luas, meningkatkan revenue dan memutus rantai panjang proses penjualan. Kata kunci— sistem penjualan, incremental, Internet of Things (IoT), produk pertanian, Kabupaten Bogor Abstract Internet of things (IoT) is a concept that connects computers and electronic devices via the internet and can be controlled remotely. The main concept in Internet of things (IoT) is information systems, internet connections and data storage in cloud computing. This concept has great benefits in the efforts and efforts used to use IoT to be able to compete in the market. Indonesia is a country that is blessed with abundant natural resources. One of the leading commodities is agricultural products. This study aims to help farmers market their products through e-commerce using the IoT Internet of things concept. Research method using incremental method. Incremental to design the product, then implemented, and gradually delay (each module will be added gradually) until the product is finished. The results of this study are to help farmers in Bogor Regency to distribute sales widely, increase revenue and break the sales process. Keywords—sales system, incremental, Internet of Things (IoT), agricultural products, Kabupaten Bogor

A Group Collaboratable Proof of Retrievability Scheme for Cloud Data Storage

2014 ◽  
Vol 13 (7) ◽  
pp. 4625-4632
Author(s):  
Jyh-Shyan Lin ◽  
Kuo-Hsiung Liao ◽  
Chao-Hsing Hsu
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Service ◽  
Third Party ◽  
Group Collaboration ◽  
Cloud Data ◽  
Cloud Data Storage ◽  
Important Trend ◽  
Data Update ◽  
Proof Of Retrievability

Cloud computing and cloud data storage have become important applications on the Internet. An important trend in cloud computing and cloud data storage is group collaboration since it is a great inducement for an entity to use a cloud service, especially for an international enterprise. In this paper we propose a cloud data storage scheme with some protocols to support group collaboration. A group of users can operate on a set of data collaboratively with dynamic data update supported. Every member of the group can access, update and verify the data independently. The verification can also be authorized to a third-party auditor for convenience.

A SURVEY ON CLOUD COMPUTING: ARCHITECTURES, DATA STORAGE, SERVICES, SECURITY AND APPLICATIONS

2017 ◽  
Vol 4 (2) ◽  
pp. 29
Author(s):  
SHINI Y.JOSLIN ◽  
PEARLSY ROSS J.CIBINO ◽  
◽  
Keyword(s):  
Cloud Computing ◽  
Data Storage

DEVELOPMENT OF BLOWFISH ENCRYPTION SCHEME FOR SECURE DATA STORAGE IN PUBLIC AND COMMERCIAL CLOUD COMPUTING ENVIRONMENT

2018 ◽  
Vol 5 (2) ◽  
pp. 1 ◽  
Author(s):  
SHAFI'I MUHAMMAD ABDULHAMID ◽  
NAFISAT ABUBAKAR SADIQ ◽  
ABDULLAHI MOHAMMED ◽  
NADIM RANA ◽  
HARUNA CHIROMA ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Encryption Scheme ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Secure Data
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