A Comprehensive Survey on Storage Techniques in Cloud Computing
Author(s) -
Amol S.Choure,
S. M. Bansode
Publication year - 2015
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/21801-5109
Subject(s) - computer science , cloud computing , data science , cloud storage , operating system
has been great development in cloud computing since past few years. It offers different kinds of services for example Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as Service (IaaS). Cloud computing enables the user and organizations to store their data remotely and enjoy good quality applications on the demand without having any burden associated with local hardware resources and software managements but it possesses a new security risk towards correctness of data stored at cloud. There has been different techniques which in turn provide correctness of data, for example Merkle Hash Tree (MHT), Distributed erasure-coded data & flexible distributed storage integrity auditing mechanism. This work is based on the survey of different techniques of cloud storage with their benefits, disadvantages and security challenges. This particular study allows you to discover long term research areas and techniques for bettering the current downsides.
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