Explore the vast range of titles available.

How to efficiently process big data at a low cost is a substantial challenge. Many efficient and economical data processing approaches have been proposed in the fields including business, scientific research, and public administration. Unfortunately, seismic data processing has not achieved the same level of devolvement in the field of oil exploration. While many storage architectures, such as network-attached storage (NAS) and storage area network (SAN), have been widely used to process massive amounts of seismic data, these architectures are expensive in terms of bandwidth and capacity. In this paper, we propose a high-bandwidth and low-cost approach to fill this gap. NASStore is our data store built on NAS for processing seismic data. However, it cannot provide a high bandwidth at a low cost when it comes to data-intensive computing scenarios due to the massive bandwidth requirement and the huge volume of data to be stored. Distributed file systems, such as the Hadoop Distributed File System (HDFS), offer an alternative approach to store data. It delivers high aggregate performance to user applications while running on inexpensive commodity hardware. In order to overcome the shortcomings of NASStore, we first present HDFSStore that is built on HDFS for processing seismic data. We then couple NASStore and HDFSStore to construct a new hybrid data store, called SeisStore, in which efficient parallel write, read, and update mechanisms are employed to improve the system performance. The experiment results show that SeisStore reduces the storage cost than NASStore by up to 23.20% and improves the access bandwidth than NASStore and HDFSStore by up to 478.84% and 16.99%, respectively.

This paper presents the development of the Home Network Attached Storage (HOMENAS) using Raspberry Pi with a Telegram Bot Notification. Network Attached Storage (NAS) is an independent storage system connected directly to the network that can be accessed easily. NAS devices are readily available on the market nowadays. However, the current price is too expensive, consumes more electricity and lacks a notification mechanism. This paper proposes the development of HOMENAS at a lower cost and consumes less power than the current NAS devices available on the market. The proposed HOMENAS is also integrated with the Telegram Bot, which can notify users of the progress of downloading files. 95% of the energy cost can be reduced by implementing a Raspberry Pi as the Home Network Attached Storage. A network performance test has been conducted to evaluate the streaming rate for single and multiple users with wired and wireless connections. The result finding shows that the Raspberry Pi not only matches the performance of laptop but, in some aspects, it has better results in torrent-based file downloading tasks.

NVMe-over-Fabrics (NVMeoF) is expected to have high-performance and be highly scalable for disaggregating NVMe SSDs to High-Speed Network (HSN)-attached storage servers, thus the aggregated NVMe SSDs in storage servers can be elastically allocated to remote host servers for better utilization. However, due to the well-known connection scalability issue of RDMA NICs (RNICs), RDMA-enabled HSN can only provide a limited scale of performant Queue Pairs (QPs) for NVMeoF I/O queues to transfer capsule and data between the storage server and remote host servers. However, in current NVMeoF implementations, multiplexing multiple NVMeoF I/O queues onto a single RNIC QP is not supported yet. In this paper, we investigate how NVMeoF capsule and data transfers are performed efficiently over HSN with a limited number of RNIC QPs, and propose SPANoF, a Scalable and Performant Architecture for NVMe-over-Fabrics. SPANoF dissolves the intrinsic one-to-one mapping relationship between NVMeoF I/O queues and RNIC QPs, allocates a dedicated send-list for each NVMeoF I/O queue rather than for each RNIC QP, transfers NVMeoF capsules and data in send-lists with a QP-centric manner to remove lock-contention overhead, and polls for transfer completion notifications to remove interrupt-caused context switch overhead. We implemented SPANoF in the Linux kernel and evaluated it by the FIO benchmarks. Our experimental results demonstrate that SPANoF can avoid the performance collapses for commercial RNICs with a limited number of performant QPs and avoid the system crash for domain-specific RNICs with only limited-scale available QPs. Compared with the native NVMeoF implementation in Linux kernel, SPANoF can saturate an RNIC of the storage server with only three RNIC QPs of the remote host server. Compared with lock-based QP-sharing mechanisms, SPANoF improves bandwidth by up to 1.55× under 64 KB sequential write requests, improves throughput by up to 4.18× and reduces the average latency by 28.31% under 4 KB random read requests.

This article presents a unique dataset, from a public building, of voltage data, acquired using a hybrid measurement solution that combines PythonTM for acquisition and GrafanaTM for results representation. This study aims to benefit communities, by demonstrating how to achieve more efficient energy management. The study outlines how to obtain a more realistic vision of the quality of the supply, that is oriented to the monitoring of the state of the network; this should allow for better understanding, which should in turn enable the optimization of the operation and maintenance of power systems. Our work focused on frequency and higher order statistical estimators which, combined with exploratory data analysis techniques, improved the characterization of the shape of the stress signal. These techniques and data, together with the acquisition and monitoring system, present a unique combination of low-cost measurement solutions, which have the underlying benefit of contributing to industrial benchmarking. Our study proposes an effective and versatile system, which can do acquisition, statistical analysis, database management and results representation in less than a second. The system offers a wide variety of graphs to present the results of the analysis, so that the user can observe them and identify, with relative ease, any anomalies in the supply which could damage the sensitive equipment of the correspondent installation. It is a system, therefore, that not only provides information about the power quality, but also significantly contributes to the safety and maintenance of the installation. This system can be practically realized, subject to the availability of internet access.

We present the design of IKAROS: an HTTP-based distributed file system, which provides file access scalability and targets a large variety of operating systems and storage systems. IKAROS bypasses the server bottleneck enabling clients to access storage directly, while supporting the usage of multiple types of meta-data. It enables low-consumption, low-specification and low-cost devices to achieve a high throughput data transfer, responding to highly demanding applications. We present data transfer results comparing IKAROS, NFS, PVFS2 and HDFS on a Small Office/Home Office Network Attached Storage infrastructure. We show that IKAROS architecture satisfies and outperforms the data rate demands of high performance applications. We also present experimental results which compare IKAROS and GridFTP using the European Grid Infrastructure. IKAROS performs better in most cases while being competitive at the rest.

[Isilon]'s OneFS distributed file system provides the intelligence behind IQ's clustered storage systems. It combines the three layers of traditional storage architectures - file system, volume manager and Raid - into one unified software layer, creating a single intelligent file system that spans all nodes within a cluster.

Interestingly, most resellers we surveyed described storage virtualisation as either \"ramping moderately\" or \"exhibiting strong demand\".

\"Our policy at the time was simply a case of introducing storage quotas for users and buying additional storage. Armed with the analysis undertaken and an idea of potential future growth, we decided to undertake a proof of concept with Njini to see how Virgin Mobile could benefit from implementing the [IAM Suite's] Enroll and Enforce components.\"