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Nowadays, people rely heavily on local or cloud storage to store their data digitally. To ensure data safety, various data fault tolerance mechanisms have been widely studied and deployed to provide reliability. Data fault tolerance mechanisms incur additional cost to the storage system. Therefore, data of different importance should be stored on storage that provides different levels of fault tolerance...
As the volume of data stored by Big data and Cloud services continues to grow, both academia and industry are seeking for high-performance storage systems. Recently, with the recent advances in write-optimized indexes (WOI), WOI-based file systems can now outperform conventional file systems with orders of magnitude on random writes, metadata updates, and small file creation. Based on the B-tree structure,...
Virtualization technology enables multiple virtual machines(VMs) to run on a physical mechanism. Due to the excessive data-intensive workloads of VMs, the system I/O performance of cloud platforms deteriorates. To improve the system I/O performance, one key technique is to exploit the spatial locality of data stored on the back-end disks. However, identifying data spatial locality on a cloud platform...
Problems of the E-book application include different file formats, performance inefficiency and image distortion; those may cause a slow development of E-book marketing in the industry of information technology. This paper proposes an innovative E-book system called CloudBook, which utilizes an embedded Graphics Processing Unit (GPU) and a data locality aware Hadoop system to resolve the problems...
Recently, many applications and users rely on cloud storage services, such as Google drive, Dropbox, iCloud and Sky drive, to store private files and system data, and cloud storage services must thus be reliable and secure. To increase reliability, previous studies have proposed a variety of erasure coding algorithms for data fault tolerance for use in storage systems. Although these data fault tolerance...
Cloud file-sharing systems have become popular as a new issue for files exchanging. However, the free-riders of cloud computing environments make the task of controlling access to share information more difficult, which cannot be avoided by traditional access control methods. In this paper, resource sharing is essential circumstance for information diversty. It is important for the user to develop...
The size of data used by enterprises, academia and sciences in recently years has been growing at an exponential rate day by day. Simultaneously, the requirement to process and analyze the large quality of data is also increased. In the previous method, a single computer or a small number of computers cannot process and monitor these large amounts of data, but cloud system can handle the requirement...
Improving the disk I/O performance is always a critical research issue in cloud computing platforms, especially for cloud computing platforms with distributed data-intensive workloads. To resolve the problem of poor disk I/O, in this paper, we propose a novel scheduling framework in the Xen-based hypervisor. In our framework, we employ a locality-aware scheduler with a deadline constraint and provide...
Cloud computing has become more popular for a decade; it has been under continuous development with advances in architecture, software, and network. Hadoop-MapReduce is a common software framework processing parallelizable problem across big datasets using a distributed cluster of processors or stand-alone computers. Cloud Hadoop-MapReduce can scale incrementally in the number of processing nodes...
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