A Survey on Privacy Enhancements for Massively Scalable Storage Systems in Public Cloud Environments

2021 ◽  
pp. 207-223
Author(s):  
Gabriel-Cosmin Apostol ◽  
Luminita Borcea ◽  
Ciprian Dobre ◽  
Constandinos X. Mavromoustakis ◽  
George Mastorakis
Keyword(s):  
Storage Systems ◽  
Public Cloud ◽  
Scalable Storage ◽  
Cloud Environments ◽  
Scalable Storage Systems

Crocus: Enabling Computing Resource Orchestration for Inline Cluster-Wide Deduplication on Scalable Storage Systems

2020 ◽  
Vol 31 (8) ◽  
pp. 1740-1753 ◽  
Author(s):  
Prince Hamandawana ◽  
Awais Khan ◽  
Chang-Gyu Lee ◽  
Sungyong Park ◽  
Youngjae Kim
Keyword(s):  
Storage Systems ◽  
Computing Resource ◽  
Scalable Storage ◽  
Resource Orchestration ◽  
Scalable Storage Systems

Toward a unified object storage foundation for scalable storage systems

2013 ◽  
Author(s):  
Cengiz Karakoyunlu ◽  
Dries Kimpe ◽  
Philip Carns ◽  
Kevin Harms ◽  
Robert Ross ◽  
...  
Keyword(s):  
Storage Systems ◽  
Scalable Storage ◽  
Object Storage ◽  
Scalable Storage Systems

scholarly journals Scalable Storage Systems and High-Perfomance Applications

2010 ◽  
Vol 51 (1) ◽  
pp. 1-2
Author(s):  
Jesus Carretero ◽  
J. Daniel Garcia
Keyword(s):  
Storage Systems ◽  
Scalable Storage ◽  
Scalable Storage Systems

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.

scholarly journals Toward a Unified Framework for the Heterogeneous Cloud Utilizing Bytecode Containers

2021 ◽  
Author(s):  
David Andrew Lloyd Tenty
Keyword(s):  
Cloud Computing ◽  
Resource Utilization ◽  
Heterogeneous Systems ◽  
Public Cloud ◽  
Unified Framework ◽  
The Public ◽  
Cloud Environments ◽  
Heterogeneous Cloud ◽  
Systems Framework ◽  
Computing Landscape

As we approach the limits of Moore’s law the Cloud computing landscape is becoming ever more heterogeneous in order to extract more performance from available resources. Meanwhile, the container-based cloud is of growing importance as a lightweight way to deploy applications. A unified heterogeneous systems framework for use with container-based applications in the heterogeneous cloud is required. We present a bytecode-based framework and it’s implementation called Man O’ War, which allows for the creation of novel, portable LLVM bitcode-based containers for use in the heterogeneous cloud. Containers in Man O’ War enabled systems can be efficiently specialized for the available hardware within the Cloud and expand the frontiers for optimization in heterogeneous cloud environments. We demonstrate that a framework utilizing portable bytecode-based containers eases optimizations such as heterogeneous scaling which have the potential to improve resource utilization and significantly lower costs for users of the public cloud.

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