scholarly journals Client Side Deduplication Scheme for Secured Data Storage in Cloud Environments

2015 ◽  
Vol V4 (05) ◽  
Author(s):  
Naveen A N ◽  
V Ravi ◽  
Keyword(s):  
Data Storage ◽  
Cloud Environments ◽  
Secured Data ◽  
Client Side

scholarly journals Data Storage and Retrieval with Deduplication in Secured Cloud Storage

2019 ◽  
Vol 9 (1) ◽  
pp. 609-615
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Modern Technology ◽  
Current Data ◽  
Data Deduplication ◽  
Data Accessibility ◽  
Storage And Retrieval ◽  
Network Bandwidth ◽  
Secured Data ◽  
Client Side

The Cloud Storage can be depicted as a service model where raw or processed data is stored, handled, and backed-up remotely while accessible to multiple users simultaneously over a network. Few of the ideal features of cloud storage is reliability, easy deployment, disaster recovery, security for data, accessibility and on top of that lesser overall storage costs which removes the hindrance of purchasing and maintaining the technologies for cloud storage. In this modern technology world, massive amount of data are produced in day to day life. So, it has become necessary to handle those big data on demand which is a challenging task for current data storage systems. The process of eliminating redundant copies of data thereby reducing the storage overhead is termed as Data Deduplication (DD). One of the ultimate aim of this research is to achieve ideal deduplication on secured data of client side. On the other hand as the client’s data are encrypted with different keys, the cross user deduplication is merely impossible as having a single key encryption among multiple user’s leads to an in secure system resulting in fragile to client’s expectations. The proposed research adapts Message Locked Encryption (MLE) technique that looks for redundant files in cloud before uploading the client’s file which eventually reduces the storage. Since the redundant files are swept, the network bandwidth is considerably reduced with respect to the redundant contents uploaded several times.

Data Storage Management in Cloud Environments

2018 ◽  
Vol 50 (6) ◽  
pp. 1-51 ◽  
Author(s):  
Yaser Mansouri ◽  
Adel Nadjaran Toosi ◽  
Rajkumar Buyya
Keyword(s):  
Data Storage ◽  
Storage Management ◽  
Cloud Environments

A Better Handling of Client-Side Data Storage

2010 ◽  
pp. 431-466
Author(s):  
Chris Apers ◽  
Daniel Paterson
Keyword(s):  
Data Storage ◽  
Client Side

A Cloud Multi-Tenant Architecture for Developing Machine Remote Monitoring Systems

2015 ◽  
Vol 764-765 ◽  
pp. 775-778
Author(s):  
Shang Liang Chen ◽  
Ying Han Hsiao ◽  
Yun Yao Chen ◽  
You Chen Lin
Keyword(s):  
Data Storage ◽  
Remote Monitoring ◽  
Monitoring Systems ◽  
Cloud Data Center ◽  
Cloud Data ◽  
Storage Devices ◽  
Machine Manufacturer ◽  
Remote Monitoring Systems ◽  
Monitoring Module ◽  
Client Side

This study proposes innovative multi-tenant remote monitoring platform architecture based on cloud with an injection machine manufacturer as cloud data center. This study was designed to develop machine connection mechanism and monitoring module, etc. with machine manufacturers. Under the architecture of this study, machine manufacturers can provide virtualization technology based remote monitoring systems for manufacturing buyers to rapidly develop custom monitoring software. All data storage devices such as servers are provided by the machine manufacturer, and the client side can effectively manage injection machine data by simply renting virtual machine space.

scholarly journals DBaaS Multitenancy, Auto-tuning and SLA Maintenance in Cloud Environments: a Brief Survey

2018 ◽  
Vol 11 (2) ◽  
pp. 30-42
Author(s):  
Vinicius Da Silveira Segalin ◽  
Carina Friedrich Dorneles ◽  
Mario Antonio Ribeiro Dantas
Keyword(s):  
Data Storage ◽  
Service Providers ◽  
Research Work ◽  
Service Level Agreement ◽  
Service Level ◽  
Resources Management ◽  
Database As A Service ◽  
Cloud Environments ◽  
And Performance ◽  
The One

Cloud computing is a paradigm that presents many advantages to both costumers and service providers, such as low upfront investment, pay-per-use and easiness of use, delivering/enabling scalable services using Internet technologies. Among many types of services we have today, Database as a Service (DBaaS) is the one where a database is provided in the cloud in all its aspects. Examples of aspects related to DBaaS utilization are data storage, resources management and SLA maintenance. In this context, an important feature, related to it, is resource management and performance, which can be done in many different ways for several reasons, such as saving money, time, and meeting the requirements agreed between client and provider, that are defined in the Service Level Agreement (SLA). A SLA usually tries to protect the costumer from not receiving the contracted service and to ensure that the provider reaches the profit intended. In this paper it is presented a classification based on three main parameters that aim to manage resources for enhancing the performance on DBaaS and guarantee that the SLA is respected for both user and provider sides benefit. The proposal is based upon a survey of existing research work efforts.

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