An Efficient and Performance-Aware Big Data Storage System

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Paper Title: An Efficient and Performance-Aware Big Data Storage System

Published  in: Cloud Computing and Services Science Communications in Computer and Information Science Volume 367, 2013, pp 102-116.

Keywords: Big Data Storage, Cloud Computing, Cloud Storage, Amazon S3, CACSS

Abstract. Recent escalations in Internet development and volume of data have created a growing demand for large-capacity storage solutions. Although Cloud storage has yielded new ways of storing, accessing and managing data, there is still a need for an inexpensive, effective and efficient storage solution especially suited to big data management and analysis. In this paper, we take our previous work one step further and present an in-depth analysis of the key features of future big data storage services for both unstructured and semi-structured data, and discuss how such services should be constructed and deployed. We also explain how different technologies can be combined to provide a single, highly scalable, efficient and performance-aware big data storage system.  We especially focus on the issues of data de-duplication for enterprises and private organisations.  This research is particularly valuable for inexperienced solution providers like universities and research organisations, and will allow them to swiftly set up their own big data storage services.

Authors: Yang Li, Li Guo and Yike Guo

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CACSS: Towards a Generic Cloud Storage Service (reveal the secret knowledge behind cloud storage services)

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Keywords: cacss cloud storage s3 architecture cloud computing amazon s3

Published in the 2nd International Conference on Cloud Computing and Services Science, CLOSER 2012, Porto, Portugal.

Title:      CACSS: Towards a Generic Cloud Storage Service
Author(s):      Yang Li, Li Guo, Yike Guo

Abstract

The advent of the cloud era has yielded new ways of storing, accessing and managing data. Cloud storage services enable the storage of data in an inexpensive, secure, fast, reliable and highly scalable manner over the internet. Although giant providers such as Amazon and Google have made a great success of their services, many enterprises and scientists are still unable to make the transition into the cloud environment due to often insurmountable issues of privacy, data protection and vendor lock-in. These issues demand that it be possible for anyone to setup or to build their own storage solutions that are independent of commercially available services. However, the question persists as to how to provide an effective cloud storage service with regards to system architecture, resource management mechanisms, data reliability and durability, as well as to provide proper pricing models. The aim of this research is to present an in-depth understanding and analysis of the key features of generic cloud storage services, and of how such services should be constructed and provided. This is achieved through the demonstration of design rationales and the implementation details of a real cloud storage system (CACSS). The method by which different technologies can be combined to provide a single excellent performance, highly scalable and reliable cloud storage system is also detailed. This research serves as a knowledge source for inexperienced cloud providers, giving them the capability of swiftly setting up their own cloud storage services.

PDF Download: CACSS-TOWARDS A GENERIC CLOUD STORAGE SERVICE

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