Pub Date : 2023-07-01DOI: 10.1007/s11390-023-1266-6
Ruo-Shi Li, Ping Peng, Zhi-Yuan Shao, Hai Jin, Ran Zheng
{"title":"Evaluating RISC-V Vector Instruction Set Architecture Extension with Computer Vision Workloads","authors":"Ruo-Shi Li, Ping Peng, Zhi-Yuan Shao, Hai Jin, Ran Zheng","doi":"10.1007/s11390-023-1266-6","DOIUrl":"https://doi.org/10.1007/s11390-023-1266-6","url":null,"abstract":"","PeriodicalId":50222,"journal":{"name":"Journal of Computer Science and Technology","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135856859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-01DOI: 10.1007/s11390-023-0005-3
Babak Falsafi
{"title":"What’s Missing in Agile Hardware Design? Verification!","authors":"Babak Falsafi","doi":"10.1007/s11390-023-0005-3","DOIUrl":"https://doi.org/10.1007/s11390-023-0005-3","url":null,"abstract":"","PeriodicalId":50222,"journal":{"name":"Journal of Computer Science and Technology","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135856832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-01DOI: 10.1007/s11390-021-1064-y
Qing-Bin Liu, Shi-Zhu He, Cao Liu, Kang Liu, Jun Zhao
{"title":"Unsupervised Dialogue State Tracking for End-to-End Task-Oriented Dialogue with a Multi-Span Prediction Network","authors":"Qing-Bin Liu, Shi-Zhu He, Cao Liu, Kang Liu, Jun Zhao","doi":"10.1007/s11390-021-1064-y","DOIUrl":"https://doi.org/10.1007/s11390-021-1064-y","url":null,"abstract":"","PeriodicalId":50222,"journal":{"name":"Journal of Computer Science and Technology","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135856858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Prepartition: Load Balancing Approach for Virtual Machine Reservations in a Cloud Data Center","authors":"Wen-Hong Tian, Min-Xian Xu, Guang-Yao Zhou, Kui Wu, Cheng-Zhong Xu, Rajkumar Buyya","doi":"10.1007/s11390-022-1214-x","DOIUrl":"https://doi.org/10.1007/s11390-022-1214-x","url":null,"abstract":"","PeriodicalId":50222,"journal":{"name":"Journal of Computer Science and Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135856856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-15DOI: 10.57237/j.cst.2023.03.001
Tan Runti, Longxin Zhang, Minghui Ai, Zeng Wenliang, Jingsheng Chen
: Mobile edge computing (MEC) is an emerging technology that extends cloud computing to the edge of the network. It offloads computing intensive tasks to the edge server to solve the problem of insufficient computing power and resource of the terminal device, meets the low energy consumption and low latency requirements of the mobile user for application task computing, and greatly releases the pressure of the cloud center. Cloud-edge integration architecture has become a trend. How to perform optimal offload scheduling for terminal tasks has always been one of the key issue in the field of MEC research. This paper reviews the research directions and achievements of task offloading technology in today’s cloud-edge environment. First, the development status of MEC environment and task offloading technology are introduced, and the concepts and applications of classic schemes such as heuristic algorithm, metaheuristic algorithm, and reinforcement learning are elaborated. Based on the mainstream solutions in the research literature, two types of task offloading solutions are summarized: traditional task offloading solutions based on algorithm optimization and
{"title":"Survey on Multiple Methods for Task Offloading in Mobile Cloud-Edge Environment","authors":"Tan Runti, Longxin Zhang, Minghui Ai, Zeng Wenliang, Jingsheng Chen","doi":"10.57237/j.cst.2023.03.001","DOIUrl":"https://doi.org/10.57237/j.cst.2023.03.001","url":null,"abstract":": Mobile edge computing (MEC) is an emerging technology that extends cloud computing to the edge of the network. It offloads computing intensive tasks to the edge server to solve the problem of insufficient computing power and resource of the terminal device, meets the low energy consumption and low latency requirements of the mobile user for application task computing, and greatly releases the pressure of the cloud center. Cloud-edge integration architecture has become a trend. How to perform optimal offload scheduling for terminal tasks has always been one of the key issue in the field of MEC research. This paper reviews the research directions and achievements of task offloading technology in today’s cloud-edge environment. First, the development status of MEC environment and task offloading technology are introduced, and the concepts and applications of classic schemes such as heuristic algorithm, metaheuristic algorithm, and reinforcement learning are elaborated. Based on the mainstream solutions in the research literature, two types of task offloading solutions are summarized: traditional task offloading solutions based on algorithm optimization and","PeriodicalId":50222,"journal":{"name":"Journal of Computer Science and Technology","volume":"30 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80821825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-30DOI: 10.1007/s11390-021-1203-5
Jie Shen, Biao Long, Chun Huang
{"title":"A Quantitative Evaluation of Vector Transcendental Functions on ARMv8-Based Processors","authors":"Jie Shen, Biao Long, Chun Huang","doi":"10.1007/s11390-021-1203-5","DOIUrl":"https://doi.org/10.1007/s11390-021-1203-5","url":null,"abstract":"","PeriodicalId":50222,"journal":{"name":"Journal of Computer Science and Technology","volume":"29 1","pages":"686 - 701"},"PeriodicalIF":1.9,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77887436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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