78,183 research outputs found
Techniques for ubiquitous reliable data storage
This portfolio thesis documents the work undertaken by the author under the auspices of the Engineering Doctorate (EngD) programme. The research work undertaken was completed at the sponsoring company, A2E Limited.
There is a wide range of products and solutions to meet both commercial and personal electronic storage needs. This work documents research and development over a four year period into algorithms, implementations and product development for novel storage solutions for commercial and personal use. The design work and technical and business objectives were guided by the sponsoring company, A4E limited. This portfolio thesis considers the storage market at the start of the project, the commercial and technical aspects relevant to this market place and describes the development and testing of a RAID 6 algorithm in both hardware and software.
The key contributions presented in this portfolio thesis include the implementation of the smallest and fastest FPGA based Reed-Solomon RAID 6 hardware accelerator. We also present the first commercial implementation of a Reed-Solomon RAID 6 intellectual property (IP) block.
Both the hardware and software implementation are discussed in detail along with the supporting IP blocks and device drivers. Documentation of the product development stages and additional project work carried out to provide an understanding of product development stages and the requirements placed during such work are also examined. the results of testing and implementation are considered and the performance of the proposed solution is considered along with the commercial viability and success of the project
A general purpose programming framework for ubiquitous computing environments
It is important to note that the need to support ad-hoc and potentially mobile arrangements of devices in ubiquitous environments does not fit well within the traditional client/server architecture. We believe peer-to-peer communication offers a preferable alternative due to its decentralised nature, removing dependence on individual nodes. However, this choice adds to the complexity of the developers task. In this paper, we describe a two-tiered approach to address this problem: A lower tier employing peer-to-peer interactions for managing the network infrastructure and an upper tier providing a mobile agent based programming framework. The result is a general purpose framework for developing ubiquitous applications and services, where the underlying complexity is hidden from the developer. This paper discusses our on-going work; presenting our design decisions, features supported by our framework, and some of the challenges still to be addressed in a complex programming environment
A Study to Optimize Heterogeneous Resources for Open IoT
Recently, IoT technologies have been progressed, and many sensors and
actuators are connected to networks. Previously, IoT services were developed by
vertical integration style. But now Open IoT concept has attracted attentions
which achieves various IoT services by integrating horizontal separated devices
and services. For Open IoT era, we have proposed the Tacit Computing technology
to discover the devices with necessary data for users on demand and use them
dynamically. We also implemented elemental technologies of Tacit Computing. In
this paper, we propose three layers optimizations to reduce operation cost and
improve performance of Tacit computing service, in order to make as a
continuous service of discovered devices by Tacit Computing. In optimization
process, appropriate function allocation or offloading specific functions are
calculated on device, network and cloud layer before full-scale operation.Comment: 3 pages, 1 figure, 2017 Fifth International Symposium on Computing
and Networking (CANDAR2017), Nov. 201
A Peer-to-Peer Middleware Framework for Resilient Persistent Programming
The persistent programming systems of the 1980s offered a programming model
that integrated computation and long-term storage. In these systems, reliable
applications could be engineered without requiring the programmer to write
translation code to manage the transfer of data to and from non-volatile
storage. More importantly, it simplified the programmer's conceptual model of
an application, and avoided the many coherency problems that result from
multiple cached copies of the same information. Although technically
innovative, persistent languages were not widely adopted, perhaps due in part
to their closed-world model. Each persistent store was located on a single
host, and there were no flexible mechanisms for communication or transfer of
data between separate stores. Here we re-open the work on persistence and
combine it with modern peer-to-peer techniques in order to provide support for
orthogonal persistence in resilient and potentially long-running distributed
applications. Our vision is of an infrastructure within which an application
can be developed and distributed with minimal modification, whereupon the
application becomes resilient to certain failure modes. If a node, or the
connection to it, fails during execution of the application, the objects are
re-instantiated from distributed replicas, without their reference holders
being aware of the failure. Furthermore, we believe that this can be achieved
within a spectrum of application programmer intervention, ranging from minimal
to totally prescriptive, as desired. The same mechanisms encompass an
orthogonally persistent programming model. We outline our approach to
implementing this vision, and describe current progress.Comment: Submitted to EuroSys 200
Experiments of posture estimation on vehicles using wearable acceleration sensors
In this paper, we study methods to estimate drivers' posture in vehicles
using acceleration data of wearable sensor and conduct a field test. Recently,
sensor technologies have been progressed. Solutions of safety management to
analyze vital data acquired from wearable sensor and judge work status are
proposed. To prevent huge accidents, demands for safety management of bus and
taxi are high. However, acceleration of vehicles is added to wearable sensor in
vehicles, and there is no guarantee to estimate drivers' posture accurately.
Therefore, in this paper, we study methods to estimate driving posture using
acceleration data acquired from T-shirt type wearable sensor hitoe, conduct
field tests and implement a sample application.Comment: 4 pages, 4 figures, The 3rd IEEE International Conference on Big Data
Security on Cloud (BigDataSecurity 2017), pp.14-17, Beijing, May 201
Context for Ubiquitous Data Management
In response to the advance of ubiquitous computing technologies, we believe that for computer systems to be ubiquitous, they must be context-aware. In this paper, we address the impact of context-awareness on ubiquitous data management. To do this, we overview different characteristics of context in order to develop a clear understanding of context, as well as its implications and requirements for context-aware data management. References to recent research activities and applicable techniques are also provided
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