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公开(公告)号：US12242634B2
公开(公告)日：2025-03-04
申请号：US17664760
申请日：2022-05-24
Inventor： Jiang Xiao , Jian Chang , Junpei Ni , Xiaohai Dai , Shijie Zhang , Hai Jin
Abstract: The present invention relates to a highly flexible, scalable multi-blockchain, hierarchical data-sharing and data-storing system, at least comprising a third-party blockchain system, a data-sharing blockchain system, and an application-layer client, wherein the data-sharing blockchain system performs data aggregation and hierarchical storage on shared data uploaded by the third-party blockchain system through accessing the data-sharing blockchain system, so as to allow the application-layer client to require the shared data from the data-sharing blockchain system. The disclosure herein creates a single reliable data-sharing blockchain apparatus based on blockchain systems, so as to facilitate aggregation of data coming from different blockchain systems, reduce node complexity and block data redundancy when data are acquired from multiple parties, and define different sharing rules for different data contents, thereby being adaptive to scenarios where data are shared among parties.
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42.发明公开公开(公告)号：US20230281157A1
公开(公告)日：2023-09-07
申请号：US17815436
申请日：2022-07-27
Inventor： Yu ZHANG , Jin Zhao , Hui Yu , Yun Yang , Xinyu Jiang , Shijun Li , Xiaofei Liao , Hai Jin
IPC: G06F15/80
CPC classification number: G06F15/80
Abstract: The present invention relates to a post-exascale graph computing method, and corresponding system, storage medium and electronic device. The invention solves the problems of low computing performance, poor scalability and high communication overhead in the large-scale distributed environment, and improves the performance of the supercomputer when supporting large-scale graph computing.
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公开(公告)号：US11463237B2
公开(公告)日：2022-10-04
申请号：US17172145
申请日：2021-02-10
Inventor： Peng Xu , Tianyang Chen , Yubo Zheng , Hai Jin , Wei Wang
IPC: H04L29/06 , H04L9/06 , G06F16/2455 , H04L9/08
Abstract: The present invention relates to a method and a system for robust, searchable, symmetrical encryption, the method comprising: during initialization, having a retrieval server perform retrieval on stored ciphertext information according to a searchable ciphertext and retrieval trapdoor information (Cntupd, K, Locgrp) sent by a client, wherein, the retrieval server acquires a last received first ciphertext set Cnew from a ciphertext database CDB just before the present retrieval according to a retrieval key K and an encryption counter Cntupd sent by the client, acquiring a second ciphertext set Ccache in a retrieval request history from a cache ciphertext database GRP according to a cache ciphertext index Locgrp, and merging the first ciphertext set Cnew and the second ciphertext set Ccache to form a retrieval set , and sending it to the client for decryption. The present invention is able to improve retrieval performance of searchable symmetrical encryption algorithm with robust forward and backward secrecy and to make searchable symmetrical encryption algorithm more practical.
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公开(公告)号：US11341181B2
公开(公告)日：2022-05-24
申请号：US17012392
申请日：2020-09-04
Inventor： Song Wu , Shengwei Bian , Hai Jin , Hao Fan
Abstract: The present invention relates to an edge-computing-oriented construction method for a container image, and the construction method for a container image at least comprising steps of: having an image reconstruction module reconstruct an old container image so as to obtain a new container image comprising an index and a set of spare files that correspond to each other, and having an image management module store the index and the spare files separately from each other in an image repository and a spare file storage module respectively; having a download engine module scrape the index from the image repository to a corresponding container in the edge end, so that a container instance service module conducts search in a local file sharing module according to configuration information contained in the index and thereby retrieves a local shared file corresponding to the configuration information, an image file consulting module is configured to download a default file from the spare file storage module that does not exist in the local shared file retrieved according to the configuration information, and a service processor uploads the local shared file and the default file recorded according to the configuration information to the image reconstruction module, so that to match and to generate the index.
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公开(公告)号：US11023285B2
公开(公告)日：2021-06-01
申请号：US16752870
申请日：2020-01-27
Abstract: The present invention relates to an acceleration method for an FPGA-based distributed stream processing system, which accomplishes computational processing of stream processing operations through collaborative computing conducted by FPGA devices and a CPU module and at least comprises following steps: building the FPGA-based distributed stream processing system having a master node by installing the FPGA devices on slave nodes; dividing stream applications into first tasks suitable to be executed by the FPGA devices and second tasks suitable to be executed by the CPU module; and where the stream applications submitted to the master node are configured with kernel files that can be compiled and executed by the FPGA devices or with uploading paths of the kernel files, making the master node allocate and schedule resources by pre-processing the stream applications.
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Patent Agency Ranking
公开(公告)号：US10896080B2
公开(公告)日：2021-01-19
申请号：US16135480
申请日：2018-09-19
Inventor： Song Wu , Zhuang Xiong , Hai Jin
Abstract: An S.M.A.R.T. threshold optimization method used for disk failure detection includes the steps of: analyzing S.M.A.R.T. attributes based on correlation between S.M.A.R.T. attribute information about plural failed and non-failed disks and failure information and sieving out weakly correlated attributes and/or strongly correlated attributes; and setting threshold intervals, multivariate thresholds and/or native thresholds corresponding to the S.M.A.R.T. attributes based on distribution patterns of the strongly or weakly correlated attributes. As compared to reactive fault tolerance, the disclosed method has no negative effects on reading and writing performance of disks and performance of storage systems as a whole. As compared to the known methods that use native disk S.M.A.R.T. thresholds, the disclosed method significantly improves disk failure detection rate with a low false alarm rate. As compared to disk failure forecast based on machine learning algorithm, the disclosed method has good interpretability and allows easy adjustment of its forecast performance.
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47.发明授权公开(公告)号：US10764202B2
公开(公告)日：2020-09-01
申请号：US15258763
申请日：2016-09-07
Abstract: The present invention discloses a container-based mobile code offloading support system in a cloud environment and the offloading method thereof, comprising a front-end processing layer, a runtime layer and a back-end resource layer. The front-end processing layer is responsible for responding to an arrived request and managing a status of a container, which is realized by a request distribution module, a code caching module and a monitoring and scheduling module; the runtime layer provides the same execution environment as that of a terminal, which is realized by a runtime module consisted of a plurality of mobile cloud containers; and the back-end resource layer solves incompatibility of a cloud platform with an mobile terminal environment and provides underlying resource support for a runtime, which is realized by a resource sharing module and an extended kernel module within a host operating system. The present invention utilizes the built mobile cloud container as the runtime environment for offloading code, ensuring execution requirements of offloading tasks and improving the computing performance of a cloud; cooperation between respective modules makes a further optimization to the performance of the platform, guaranteeing an efficient operation for the system.
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公开(公告)号：US10742407B2
公开(公告)日：2020-08-11
申请号：US16207927
申请日：2018-12-03
Inventor： Hai Jin , Peng Xu , Tianyang Chen , Ye Tao
Abstract: The present invention involves with a method of hybrid searchable encryption, involving using at least one first computing device that has a first processor configured to perform steps of: using a first symmetric key to encrypt data so as to obtain a data first ciphertext, using a second symmetric key to encrypt a keyword related to the data so as to obtain a searchable keyword first ciphertext that is related to the data first ciphertext, and saving the data first ciphertext and the keyword first ciphertext in a first memory of a first computing device; and using the first symmetric key to encrypt the keyword so as to generate a keyword second ciphertext, using a first public key to encrypt the keyword so as to obtain a searchable third keyword ciphertext related to the keyword second ciphertext, and sending the keyword second ciphertext and the searchable third keyword ciphertext to a second computing device; wherein the second computing device has a second processor that is configured to perform steps of: receiving the keyword second ciphertext and the searchable third keyword ciphertext from the first computing device and saving the two together with an identification of the first computing device relationally in a second memory of the second computing device.
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公开(公告)号：US10673612B2
公开(公告)日：2020-06-02
申请号：US16169377
申请日：2018-10-24
Inventor： Hai Jin , Peng Xu , Shuanghong He , Deqing Zou
Abstract: The present invention involves with a method of searchable public-key encryption, a system and server using the method.
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公开(公告)号：US20190205179A1
公开(公告)日：2019-07-04
申请号：US16180460
申请日：2018-11-05
Abstract: The present invention involves with a dynamic distributed processing method for stream data, at least comprising: analyzing and predicting an execution mode of at least one data feature block of the data of a user stream data processing program; dynamically adjusting the execution mode based on an average magnitude of queue latency and a threshold of queue latency of the stream data; and processing corresponding said at least one data feature block based on the execution mode. By associating and combining the irrelevant data stream mode and micro-batch mode of stream data computing, the present invention successfully releases automatic shift and data process between the two modes, which advantageously has both the high throughput property and the low latency property.
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