COMMUNICATION SYSTEM, CONVERGED COMMUNICATION NODE, AND METHOD FOR SUPPORTING CLOUD SERVICE
    5.
    发明申请
    COMMUNICATION SYSTEM, CONVERGED COMMUNICATION NODE, AND METHOD FOR SUPPORTING CLOUD SERVICE 审中-公开
    通信系统,通信通信节点和支持云服务的方法

    公开(公告)号:US20150100696A1

    公开(公告)日:2015-04-09

    申请号:US14247490

    申请日:2014-04-08

    IPC分类号: H04L12/24

    CPC分类号: H04L41/509 H04L41/5041

    摘要: A communication system for supporting a cloud service comprising: a communication node connected to a network; an IDC connected to the network; a converged communication apparatus connected to the network and configured to interact with the IDC to integrally manage a resource stored in the IDC, and, upon a receipt of a request for the cloud service, to interact with the communication node to transfer the resource to a user who makes the cloud service request or a service provider which makes the cloud service request.

    摘要翻译: 一种用于支持云服务的通信系统,包括:连接到网络的通信节点; 连接到网络的IDC; 连接到网络并被配置为与IDC交互以整合地管理存储在IDC中的资源的融合通信装置,并且在接收到云服务的请求时,与通信节点进行交互以将资源传送到 制作云服务请求的用户或使云服务请求的服务提供商。

    METHOD AND APPARATUS FOR READING DATA IN DISTRIBUTED FILE SYSTEM
    6.
    发明申请
    METHOD AND APPARATUS FOR READING DATA IN DISTRIBUTED FILE SYSTEM 有权
    在分布式文件系统中读取数据的方法和装置

    公开(公告)号:US20150242437A1

    公开(公告)日:2015-08-27

    申请号:US14629513

    申请日:2015-02-24

    IPC分类号: G06F17/30 H04L29/08

    摘要: Disclosed are a method and apparatus for reading data in a distributed file system in which a client and a server are separated. In the method and apparatus, a prefetching operation is performed to provide a continuous read function with high performance even in the distributed file system so that an optimum continuous read function of a local file system within the client may be effectively supported when an application program of the client requests continuous reading on a file (or chunk).

    摘要翻译: 公开了一种在客户端和服务器分离的分布式文件系统中读取数据的方法和装置。 在该方法和装置中,执行预取操作以提供即使在分布式文件系统中具有高性能的连续读取功能,使得当客户端中的本地文件系统的最佳连续读取功能可以被有效地支持时, 客户端请求连续读取文件(或块)。

    SYSTEM AND METHOD FOR PROVIDING VIRTUAL DESKTOP SERVICE USING CACHE SERVER
    7.
    发明申请
    SYSTEM AND METHOD FOR PROVIDING VIRTUAL DESKTOP SERVICE USING CACHE SERVER 有权
    使用高速缓存服务器提供虚拟桌面服务的系统和方法

    公开(公告)号:US20140317223A1

    公开(公告)日:2014-10-23

    申请号:US14193736

    申请日:2014-02-28

    IPC分类号: H04L29/08

    摘要: There are provided a system and method for providing a virtual desktop service using a cache server. A system for providing a virtual desktop service according to the invention includes a host server configured to provide a virtual desktop service to a client terminal using a virtual machine, a distributed file system configured to store data for the virtual machine, and a cache server that is provided for each host server group having at least one host server, and performs a read process or a write process of data using physically separate caches when the read process or write process of the data is requested from the virtual machine in the host server.

    摘要翻译: 提供了一种使用缓存服务器提供虚拟桌面服务的系统和方法。 根据本发明的用于提供虚拟桌面服务的系统包括被配置为使用虚拟机向客户终端提供虚拟桌面服务的主机服务器,被配置为存储虚拟机的数据的分布式文件系统,以及缓存服务器, 被提供给具有至少一个主机服务器的每个主机服务器组,并且当从主机服务器中的虚拟机请求了数据的读取处理或写入处理时,使用物理上分离的高速缓存来执行数据的读取处理或写入处理。

    APPARATUS AND METHOD FOR DETECTING MALICIOUS SCRIPT

    公开(公告)号:US20210240827A1

    公开(公告)日:2021-08-05

    申请号:US17100541

    申请日:2020-11-20

    IPC分类号: G06F21/56 G06N20/00 G06N5/04

    摘要: Disclosed herein are an apparatus and method for detecting a malicious script. The apparatus includes one or more processors and executable memory for storing at least one program executed by the one or more processors. The at least one program is configured to extract token-type features, each of which corresponds to a lexical unit, and tree-node-type features of an abstract syntax tree from an input script, to train two learning models to respectively learn two pieces of learning data that are generated in consideration of features extracted respectively from the token-type features and the node-type features as having the highest frequency, and to detect whether the script is a malicious script based on the result of ensemble-based malicious script detection performed for the script, which is acquired using an ensemble detection model generated from the two learning models.