Abstract
Cloud computing technology is the culmination of technical advancements in computer networks, hardware and software capabilities that collectively gave rise to computing as a utility. It offers a plethora of utilities to its clients worldwide in a very cost-effective way and this feature is enticing users/companies to migrate their infrastructure to cloud platform. Swayed by its gigantic capacity and easy access clients are uploading replicated data on cloud resulting in an unnecessary crunch of storage in datacenters. Many data compression techniques came to rescue but none could serve the purpose for the capacity as large as a cloud, hence, researches were made to de-duplicate the data and harvest the space from exiting storage capacity which was going in vain due to duplicacy of data. For providing better cloud services through scalable provisioning of resources, interoperability has brought many Cloud Service Providers (CSPs) under one umbrella and termed it as Cloud Federation. Many policies have been devised for private and public cloud deployment models for searching/eradicating replicated copies using hashing techniques. Whereas the exploration for duplicate copies is not restricted to any one type of CSP but to a set of public or private CSPs contributing to the federation. It was found that even in advanced deduplication techniques for federated clouds, due to the different nature of CSPs, a single file is stored at private as well as public group in the same cloud federation which can be handled if an optimized deduplication strategy be rendered for addressing this issue. Therefore, this study has been aimed to further optimize a deduplication strategy for federated cloud environment and suggested a central management agent for the federation. It was perceived that work relevant to this is not existing, hence, in this paper, the concept of federation agent has been implemented and deduplication technique following file level has been used for the accomplishment of this approach.
Highlights
Cloud computing is a very progressive technology and, it is stretching its wings in all directions due to its most applaudable feature “pay-as-you-use” [1]
The outcomes of the proposed system are suggesting that this strategy is very beneficial in harvesting the cloud storage by removing the duplicated data as shown in the Tab. 3 for Private Cloud Service Providers (CSPs) & Tab. 4 for Public CSPs, given ahead: Table 3: Harvesting the memory from private CSPs without using federation agent in federated cloud
This paper presents the concept of Federation Agent to mollify the meagerness of the existing system and to further improve the data duplication strategy in cloud environment
Summary
Cloud computing is a very progressive technology and, it is stretching its wings in all directions due to its most applaudable feature “pay-as-you-use” [1]. Despite the optimal utilization of storage and resources due to federation, replication of data consumes most of the space that ought to be eliminated to optimize the cloud storage capacity. To manage this issue, researchers presented many deduplication techniques but most of them were not able to provide an optimal solution to harvest waste storage from CSPs. Deduplication in federated clouds is a novel area to explore and has a lot of scope for researchers to render innovative strategies to garner the storage with reduced time for lookup operations. Thirdparty agents and brokers provide effective monitoring services that ensure that customers are getting the most out of their cloud environment
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