scholarly journals Building a Distributed Block Storage System for Cloud Infrastructure

2010 ◽  
Author(s):  
Xiaoming Gao ◽  
Yu Ma ◽  
Marlon Pierce ◽  
Mike Lowe ◽  
Geoffrey Fox
Keyword(s):  
Storage System ◽  
Cloud Infrastructure ◽  
Block Storage

A Cloud-Aware Distributed Object Storage System to Retrieve Large Data via HTML5-Enabled Web Browsers

2016 ◽  
pp. 25-45 ◽  
Author(s):  
Ahmet Artu Yıldırım ◽  
Dan Watson
Keyword(s):  
High Performance ◽  
Storage Systems ◽  
Storage System ◽  
Large Data ◽  
Web Browsers ◽  
Cloud Infrastructure ◽  
Scalable Storage ◽  
Distributed Object ◽  
Object Storage ◽  
Restful Web Service

Major Internet services are required to process a tremendous amount of data at real time. As we put these services under the magnifying glass, It's seen that distributed object storage systems play an important role at back-end in achieving this success. In this chapter, overall information of the current state-of –the-art storage systems are given which are used for reliable, high performance and scalable storage needs in data centers and cloud. Then, an experimental distributed object storage system (CADOS) is introduced for retrieving large data, such as hundreds of megabytes, efficiently through HTML5-enabled web browsers over big data – terabytes of data – in cloud infrastructure. The objective of the system is to minimize latency and propose a scalable storage system on the cloud using a thin RESTful web service and modern HTML5 capabilities.

Re-architecting Distributed Block Storage System for Improving Random Write Performance

2021 ◽  
Author(s):  
Myoungwon Oh ◽  
Jiwoong Park ◽  
Sung Kyu Park ◽  
Adel Choi ◽  
Jongyoul Lee ◽  
...  
Keyword(s):  
Storage System ◽  
Block Storage

scholarly journals Perbandingan Kinerja Block Storage Ceph dan ZFS di Lingkungan Virtual

2019 ◽  
Vol 7 (1) ◽  
pp. 7-11
Author(s):  
Faza Abdani Auni Robbi ◽  
Agung Budi Prasetijo ◽  
Eko Didik Widianto
Keyword(s):  
Virtual Environments ◽  
Storage System ◽  
Test Results ◽  
Server Virtualization ◽  
Storage Performance ◽  
Integrity Testing ◽  
Cpu Usage ◽  
Standard Configuration ◽  
Block Storage ◽  
Selection Of

The growth of data requires better performance in the storage system. This study aims to analyze the comparison of block storage performance of Ceph and ZFS running in virtual environments. Tests were conducted to measure their performances, including IOPS, CPU usage, throughput, OLTP Database, replication time, and data integrity. Testing was done using 2 node servers with a standard configuration of the storage system. Server virtualization uses Proxmox on each node. ZFS has a higher performance of reading and writing operation than Ceph in IOPS, CPU usage, throughput, OLTP and data replication duration, except the CPU usage in writing operation. The test results are expected to be a reference in the selection of storage systems for data center applications.

A Cloud-Aware Distributed Object Storage System to Retrieve Large Data via HTML5-Enabled Web Browsers

Big Data ◽  
2016 ◽  
pp. 828-847
Author(s):  
Ahmet Artu Yıldırım ◽  
Dan Watson
Keyword(s):  
High Performance ◽  
Storage Systems ◽  
Storage System ◽  
Large Data ◽  
Web Browsers ◽  
Cloud Infrastructure ◽  
Scalable Storage ◽  
Distributed Object ◽  
Object Storage ◽  
Restful Web Service

Major Internet services are required to process a tremendous amount of data at real time. As we put these services under the magnifying glass, it's seen that distributed object storage systems play an important role at back-end in achieving this success. In this chapter, overall information of the current state-of –the-art storage systems are given which are used for reliable, high performance and scalable storage needs in data centers and cloud. Then, an experimental distributed object storage system (CADOS) is introduced for retrieving large data, such as hundreds of megabytes, efficiently through HTML5-enabled web browsers over big data – terabytes of data – in cloud infrastructure. The objective of the system is to minimize latency and propose a scalable storage system on the cloud using a thin RESTful web service and modern HTML5 capabilities.

scholarly journals The Analysis of Modern Data Storage Systems

2019 ◽  
pp. 25-30
Author(s):  
Vadim Shevtsov ◽  
Evgeny Abramov
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Storage System ◽  
Area Network ◽  
Storage Area Network ◽  
File Storage ◽  
Hardware System ◽  
Data Volume ◽  
Storage Area ◽  
Block Storage

Today, Storage Area Network and Cloud Storage are the common Storage System. Storage Area Network includes NAS, SAN, DAS systems. Cloud Storage includes object storage, file storage, block storage. Storage Area Network is an important technology because it may give a lot of data volume with a high recovery chance and secure access, work and central management with data. Cloud Storage has many advantages: data mobility, teamwork, stability, scalability, quick start. The main threats include destruction, theft, corruption, unauthentication, replacement, blocking. Storage Area Network components (architecture elements, protocols, interfaces, hardware, system software, exploitation) have a lot of vulnerabilities. Cloud Storage may be attacked by software, functional elements, clients, hypervisor, management systems. A lot of companies design storage solutions: DropBox, QNAP, WD, DELL, SEAGATE.

scholarly journals A Trusted-based Cloud Computing Virtual Storage System and Key Technologies

2015 ◽  
Vol 10 (4) ◽  
pp. 579 ◽  
Author(s):  
Kehe Wu ◽  
Long Chen ◽  
Yi Li
Keyword(s):  
Cloud Computing ◽  
Data Protection ◽  
Trusted Computing ◽  
Storage System ◽  
Storage Device ◽  
Relevant Research ◽  
Virtual Storage ◽  
Key Technologies ◽  
User Data ◽  
Block Storage

With the popularity of Cloud Computing, people become incresingly concern about security problems, especially the data security, which has become the biggest obstacle for the development of Cloud Computing. In order to protect confidentiality and integrity of user data in Cloud Computing, this paper firstly studies the relevant research works in fields of trusted computing and Cloud Computing data protection and secondly introduces the concept of trusted into Cloud Computing data protection, presents the concept of Trusted Virtual Block Storage Device (TVBSD) and designs the Trusted Cloud Computing Virtual Storage System (TCCVSS). And then, the key technologies such as isolation, block device encryption and two-way authentication are expounded in this paper. Finally, the result of experiments shows that the system and the related technologies can not only effectively ensure the security of user data, but also control the consequent performance overhead in a proper range.

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