Benchmarking the Object Storage Services for Amazon and Azure
Cloud computing is increasingly being used as a new computing model that provide users rapid on-demand access to computing resources with reduced cost and minimal management overhead. Data storage is one of the most famous cloud services that have attract
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Abstract. Cloud computing is increasingly being used as a new computing model that provide users rapid on-demand access to computing resources with reduced cost and minimal management overhead. Data storage is one of the most famous cloud services that have attracted great attention in the research field. In this paper, we focus on the object storage of Microsoft Azure and Amazon cloud computing providers. This paper reviews object storage performance of both Microsoft Azure blob storage and Amazon simple storage service. Security and cost models for both cloud providers have been discussed as well. Keywords: Cloud object storage Amazon S3 storage
Microsoft azure blob storage
1 Introduction Cloud computing is becoming the mainstream for application development. The cloud, which is a metaphor for the internet, provides high capability computing resources and storage services based on demand. Cloud support could be represented in terms of software support, platform support, and developmental tools support. Cloud computing comes in many forms: platform as a service (PaaS), where developers build and deploy their applications using the APIs provided by the cloud. Others offer infrastructure as a service (IaaS), where a customer runs applications inside virtual machines (VMs), using the APIs provided by their chosen host operating systems. SaaS uses the web to deliver applications that are managed by a third-party vendor and whose interface is accessed on the clients’ side. IaaS cloud providers are responsible of providing the data center and their infrastructure software at a reduced cost and high availability. However, as a trade-off, cloud storage services do not provide strong guaranteed consistency. Due to replication, data could be inconsistent when a read immediately follows a write process. Across the web, many vendors offer data storage that resides in the cloud. There are several vendors offering cloud services in the market today such as Amazon, Google AppEngine and Microsoft Azure. Depending on access needs, one can access data stored in the cloud in three different ways: (1) using a web browser interface that enables moving files to and from the storage area; (2) through a mounted desk drive that look like a local desk drive letter or mounted file system in the © Springer Nature Switzerland AG 2019 K. Arai et al. (Eds.): FICC 2018, AISC 887, pp. 359–368, 2019. https://doi.org/10.1007/978-3-030-03405-4_24
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computer; (3) for application developers, the storage services could be handled using a set of application program interface (API) calls. Cloud providers offers variety of storage services such as object storage, Block storage, File storage and VM disk storage. Object storage is designed for unstructured data, such as binary objects, user generated data, and application inputs and outputs. It can also be used to import existing data stores for analytics, backup, or archive. Object storage processes data as objects and can grow indefinitely by adding nodes and that what makes this kin
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