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Now showing items 1 - 16 of 66363

  • Equipment for preparing and continuous molding of thermoplastic composites

    I. O. Mikulyonok  

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  • Equipment for preparing and continuous molding of thermoplastic composites

    I. O. Mikulyonok  

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  • AUTHORIZING I/O COMMANDS WITH I/O TOKENS

    A method for authorizing I/O (input/output) commands in a storage cluster is provided. The method includes generating a token responsive to an authority initiating an I/O command, wherein the token is specific to assignment of the authority and a storage node of the storage cluster. The method includes verifying the I/O command using the token, wherein the token includes a signature confirming validity of the token and wherein the token is revocable.
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  • I/O device, I/O program, and I/O method

    Provided are an I/O device, an I/O program, and an I/O method that enable visual recognition with such a sense of distance as if a target object that is a real image were in contact with a stereoscopic image that is a virtual image. The I/O device according to the present invention includes: a display device that can generate a stereoscopic image; and a depth level sensor that measures a distance to a target object. A stereoscopic region of the stereoscopic image generated by the display device and a depth level detection region of the depth level sensor overlap with each other to thereby have a common region therebetween. As a result, the visual recognition with such a sense of distance as if the target object that is a real image were in contact with the stereoscopic image that is a virtual image is possible.
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  • I/O CONTROL METHOD AND I/O CONTROL SYSTEM

    [Problem] To provide an I/O control method and an I/O control system that achieves both speeding up of I/O processing and data redundancy. [Solution] Provided is an I/O control method for performing control regarding an I/O request of a virtual computer that operates in a computer having an I/O device executing I/O processing, the method being provided with: a first step for determining, by an I/O analysis unit, whether or not it is possible to execute data redundancy processing regarding an I/O request on the basis of the I/O request of the virtual computer and setting information in which whether or not it is possible to execute data redundancy processing is identifiable; and a second step for transmitting, by a controller unit, an I/O command regarding the I/O request to a data redundancy mechanism for executing the data redundancy processing on the basis of a determination result in the first step.
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  • I/O DEVICE, I/O PROGRAM, AND I/O METHOD

    Provided are an I/O device, an I/O program, and an I/O method, whereby visual confirmation is possible by using a sense of distance, such as when a target object being a real image approaches a virtual stereoscopic image. This I/O device includes: a display device capable of generating a stereoscopic image; and a depth sensor that measures the distance to the target object. A stereoscopic area for the stereoscopic image generated by the display device and a depth detection area for the depth sensor have a shared area shared by both. As a result, visual confirmation is possible by using a sense of distance such as when the target object being a real image approaches the virtual stereoscopic image.
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  • Maintaining I/O priority and I/O sorting

    Multiple variants of a data processing system, which maintains I/O priority from the time a process makes an I/O request until the hardware services that request, will be described. In one embodiment, a data processing system has one or more processors having one or more processor cores, which execute an operating system and one or more applications of the data processing system. The data processing system also can have one or more non-volatile memory device coupled to the one or more processors to store data of the data processing system, and one or more non-volatile memory controller coupled to the one or more processors. The one or more non-volatile memory controller enables a transfer of data to at least one non-volatile memory device, and the priority level assigned by the operating system is maintained throughout the logical data path of the data processing system.
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  • Authorizing I/O commands with I/O tokens

    A method for authorizing I/O (input/output) commands in a storage cluster is provided. The method includes generating a token responsive to an authority initiating an I/O command, wherein the token is specific to assignment of the authority and a storage node of the storage cluster. The method includes verifying the I/O command using the token, wherein the token includes a signature confirming validity of the token and wherein the token is revocable.
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  • Servicing I/O requests in an I/O adapter device

    Server computers may include one or more input/output (I/O) adapter devices for communicating with a network and/or direct-attached device. The I/O adapter device may have limited physical resources, such as memory. Large I/O transactions may occupy all available memory on the I/O adapter device, thus causing other I/O transactions to experience intermittent and excessive delays. The I/O adapter device can be configured to issue one or more transactions for a large I/O request. Each transaction transfers a portion of the data requested by the large I/O request. When all the transactions have completed, the client that requested the large I/O request is informed that the I/O request has completed.
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  • HaptI/O: Physical I/O Node over the Internet

    Matsuzono, Satoshi   Nakamura, Haruki   Kato, Daiya   Peiris, Roshan   Minamizawa, Kouta  

    Along with the development of information technology and tactile technology, it has become possible to share human haptic experiences via the Internet. In this research, we propose HaptI/O a technology that allows easy sharing and communication of haptic experiences. HaptI/O devices are physical network nodes that can perform as gateways to both input or output the haptic information from a source such as the human body or a tangible object. HaptI/O proposed in this research focuses on the (1) ease of sharing haptic information with a focus on usability (2) share Haptic information among multiple users (3) usage of the HaptI/O as a mobile device. As a result of user testing of the implemented HaptI/O, it was confirmed that user's information perception in remote communication was improved.
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  • Psychoanalysis and the gl O bal

    Hansson, Erik  

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  • Next Generation O-Linked Glycomics

    Karlsson, Niclas G.; Jin, Chunsheng; Rojas-Macias, Miguel A.; Adamczyk, Barbara  

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  • Task-structured probabilistic I/O automata

    Ran Canetti   Ling Cheung   Dilsun Kaynar   Moses Liskov   Nancy Lynch   Olivier Pereira   Roberto Segala  

    Abstract Modeling frameworks such as Probabilistic I/O Automata (PIOA) and Markov Decision Processes permit both probabilistic and nondeterministic choices. In order to use these frameworks to express claims about probabilities of events, one needs mechanisms for resolving nondeterministic choices. For PIOAs, nondeterministic choices have traditionally been resolved by schedulers that have perfect information about the past execution. However, these schedulers are too powerful for certain settings, such as cryptographic protocol analysis, where information must sometimes be hidden. In this paper, we propose a new, less powerful nondeterminism-resolution mechanism for PIOAs, consisting of tasks and local schedulers . Tasks are equivalence classes of system actions that are scheduled by oblivious, global task sequences. Local schedulers resolve nondeterminism within system components, based on local information only. The resulting task-PIOA framework yields simple notions of external behavior and implementation, a new kind of simulation relation that is sound for proving implementation, and supports simple compositionality results. Highlights • Task-PIOAs, a probabilistic modeling framework based on PIOAs. • A nondeterministic resolution mechanism tailored for cryptographic applications. • Notions of external behavior and implementation for task-PIOAs. • A simulation relation for task-PIOAs that is sound for proving implementation. • Composition results for task-PIOAs.
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  • I/O optimization

    Providing I/O operations to a storage device includes selecting a portion of original I/O operations based on a first set of criteria, determining whether to subdivide each of the portion of original I/O operations that are selected according to a second set of criteria different than the first set of criteria, and converting each of the original I/O operations selected for subdivision into a plurality of subdivided I/O operations for different portions of data for a corresponding one of the original I/O operations. The first set of criteria may include whether the I/O operations are for multiple tracks of data. The second set of criteria may include determining a measured amount of performance improvement for previous subdivision operations. Performance of subdivided I/O operations may be monitored. A number of subdivided I/O operations may be limited by a number of available parallel I/O routes.
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  • Servicing I/O requests in an I/O adapter device

    Server computers may include one or more input/output (I/O) adapter devices for communicating with a network and/or direct-attached device. The I/O adapter device may have limited physical resources, such as memory. Large I/O transactions may occupy all available memory on the I/O adapter device, thus causing other I/O transactions to experience intermittent and excessive delays. The I/O adapter device can be configured to issue one or more transactions for a large I/O request. Each transaction transfers a portion of the data requested by the large I/O request. When all the transactions have completed, the client that requested the large I/O request is informed that the I/O request has completed.
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  • Automatic Cloud I/O Configurator for I/O Intensive Parallel Applications

    Zhai, Jidong   Liu, Mingliang   Jin, Ye   Ma, Xiaosong   Chen, Wenguang  

    As the cloud platform becomes a promising alternative to traditional HPC (high performance computing) centers or in-house clusters, the I/O bottleneck problem is highlighted in this new environment, typically with top-of-the-line compute instances but sub-par communication and I/O facilities. It has been observed that changing the cloud I/O system configurations, such as choices of file systems, number of I/O servers and their placement strategies, etc., will lead to a considerable variation in the performance and cost efficiency of I/O intensive parallel applications. However, storage system configuration is tedious and error-prone to do manually, even for expert users, leading to solutions that are grossly over-provisioned (low cost inefficiency), substantially under-performing (poor performance) or, in the worst case, both. This paper proposes ACIC, a system which automatically searches for optimized I/O system configurations from many candidates for each individual application running on a given cloud platform. ACIC takes advantage of machine learning models to perform performance/cost predictions. To tackle the high-dimensional parameter exploration space, we enable affordable, reusable, and incremental training on cloud platforms, guided by the Plackett and Burman Matrices for experiment design. Our evaluation results with four representative parallel applications indicate that ACIC consistently identifies optimal or near-optimal configurations among a large group of candidate settings. The top ACIC-recommended configuration is capable of improving the applications' performance by a factor of up to 10.5 (3.1 on average), and cost saving of up to 89 percent (51 percent on average), compared with a commonly used baseline I/O configuration. In addition, we carried out a small-scale user study for one of the test applications, which found that ACIC consistently beat the user and even the application's developer, often by a significant margin, in selecting optim- zed configurations.
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