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Based on the deep analysis of the VFS mechanism, a hierarchical file system based on embedded Linux is designed and implemented by combining the kernel module and user service application. It provides both the convenient update of the system and the better protection of the read-only system files, which is obviously of great value in commercial purposes.
The Hadoop file system is a large scale distributed file system used to manage and quickly process extremely large data sets. We want to utilize Hadoop to assist with data-intensive workloads in a distributed campus grid environment. Unfortunately, the Hadoop file system is not designed to work in such an environment easily or securely. We present a solution that bridges the Chirp distributed file...
Hixosfs is a Linux filesystem designed to easily cataloging and retriving files according final user selected metadata. The idea is the use of bluetooth technology to create an ad-hoc indoor network managed by hixosfs. The system has been implemented using embedded systems linked to each other using bluetooth connection or an ad-hoc wireless network. In each of these, a hixosfs filesystem based database...
We have designed and implemented the blue whale file system (BWFS), a scalable distributed file system for large distributed data-intensive applications. With many of the features as previous distributed file systems, BWFS has successfully met our storage needs and is widely deployed within many fields. Although excellent for high-bandwidth access to large files, BWFS's out-of-band data transfer mode...
In embedded Linux systems low power consumption and memory usage are strict constraint. The problem to manage a large quantity of file metadata, that usually represents the most expensive task of such systems, is a task delegated to user space programs, generally, database based. In this work we propose how to deal with metadata at file system level with Hixosfs. Hixosfs is an ext2 based Linux file...
Along with the development and application of the high speed network, in order to reduce the cost of data copy and context switch, the paper presents an improved method of zero-copy data transmission that is suitable for the high speed network environment on Linux and UNIX platforms. The method can reduce the number of data copy and context switch between kernel and user mode. It is tested by transmitting...
During the past few years, large, reliable and efficient storage systems have become increasingly important in enterprise environments. Additional requirements for these environments include low installation, maintenance and administration costs. In this paper we propose a hash-based storage approach, combined with block-level operating system semantics. The experimental evaluation confirms that the...
Green computing is a growing research topic. Its goal is to increase energy efficiency and reduced resource consumption. Building infrastructure for cloud computing is one of the methods to achieve these goals. The key concept of cloud computing is to provide a resource sharing model based on virtualization, distributed filesystem and Web services. In this paper, we propose an energy efficient architecture...
Modern enterprises employ hundreds of workstations for daily business operations, which consume a lot of energy and thus have significant operating costs. To reduce such costs, dynamic energy management is often employed. However, dynamic energy management, especially that for disks, introduces delays when an accessed disk is in a low power state and needs to be brought into active state. In this...
This paper proposes a backup system based on stackable mirroring filesystem "GMFS." We have developed GMFS to mirror data in realtime on the filesystem layer.GMFS uses NFS which is a typical network file system to communicate with an existing environment, and backup data to one or more NFS servers. Therefore, an existing empty resource can be used. It is necessary to backup data to two or...
High-performance storage systems are evolving towards decentralized commodity clusters that can scale in capacity, processing power, and network throughput. Building such systems requires: (a)Sharing physical resources among applications; (b)Sharing data among applications; (c) Allowing customized views of data for applications. Current solutions satisfy typically the first two requirements through...
The popularity of large scale systems such as Blue Gene has extended their reach beyond HPC into the realm of commercial computing. There is a desire in both communities to broaden the scope of these machines from tightly-coupled scientific applications running on MPI frameworks to more general-purpose workloads. Our approach deals with issues of scale by leveraging the huge number of nodes to distribute...
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