.Cloud: Unified Platform for Compilation and Execution Processes in a Cloud

被引:0
|
作者
De la Prieta, Fernando [1 ]
Juan Sanchez, Antonio [1 ]
Zato, Carolina [1 ]
Rodriguez, Sara [1 ]
Bajo, Javier [2 ]
机构
[1] Univ Salamanca, Dept Comp Sci & Automat Control, Plaza Merced S-N, E-37008 Salamanca, Spain
[2] Tech Univ Madrid, Dept Artificial Intelligence, Madrid, Spain
关键词
Cloud Computing; AI Applications; Cloud Storage; Utility Computing; Cloud Compiling;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Compiling is not only running a program that interprets a given source file collection. In the compilation process, it is important the immediacy and way of display the results, and the user interaction. In this research it is proposed the creation of a unified platform (.Cloud) that supports editing, compiling and running applications in multiple languages and that can execute directly into the user's browser without installing any plugins, making it independent of the platform and operating system used.. Cloud will be independent of the platform on which it runs, which will favor mainly to devices with limited resources, both hardware and platform software. The use of a Cloud tool of this type also facilitates the work group within computing projects, allowing multiple programmers working on the same data with optimized workflow.
引用
收藏
页码:219 / 227
页数:9
相关论文
共 50 条
  • [1] A Unified Cloud Platform for Autonomous Driving
    Liu, Shaoshan
    Tang, Jie
    Wang, Chao
    Wang, Quan
    Gaudiot, Jean-Luc
    COMPUTER, 2017, 50 (12) : 42 - 49
  • [2] An Approach to the Decomposition of Business Processes for Execution in the Cloud
    Povoa, Lucas Venezian
    de Souza, Wanderley Lopes
    Pires, Luis Ferreira
    do Prado, Antonio Francisco
    2014 IEEE/ACS 11TH INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2014, : 470 - 477
  • [3] Designing A Unified Cloud Log Analytics Platform
    Sun, Maoyuan
    Convertino, Gregorio
    Detweiler, Mark
    2016 INTERNATIONAL CONFERENCE ON COLLABORATION TECHNOLOGIES AND SYSTEMS (CTS), 2016, : 257 - 266
  • [4] Qubernetes: Towards a unified cloud-native execution platform for hybrid classic-quantum computing
    Stirbu, Vlad
    Kinanen, Otso
    Haghparast, Majid
    Mikkonen, Tommi
    INFORMATION AND SOFTWARE TECHNOLOGY, 2024, 175
  • [5] Cloud-Based Mapreduce Workflow Execution Platform
    Jung, In-Yong
    Han, Byong-John
    Jeong, Chang-Sung
    Rho, Seungmin
    JOURNAL OF INTERNET TECHNOLOGY, 2014, 15 (06): : 1059 - 1067
  • [6] Service execution platform WeboTX to support cloud computing
    Katou, Masayuki
    NEC Technical Journal, 2010, 5 (02): : 79 - 84
  • [7] A Cloud-Based Compilation and Hardening Platform for Android Apps
    Busch, Marcel
    Protsenko, Mykolai
    Mueller, Tilo
    PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON AVAILABILITY, RELIABILITY AND SECURITY (ARES 2017), 2017,
  • [8] TOWARDS A UNIFIED ARCHITECTURE OF CLOUD SERVICE DELIVERY PLATFORM
    Huang, Yannong
    Yang, Yiqing
    Rossi, Mike
    Xu, Bin
    2012 IEEE 2ND INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENT SYSTEMS (CCIS) VOLS 1-3, 2012, : 360 - 364
  • [9] An efficient resource provisioning algorithm for workflow execution in cloud platform
    Madhu Sudan Kumar
    Anubhav Choudhary
    Indrajeet Gupta
    Prasanta K. Jana
    Cluster Computing, 2022, 25 : 4233 - 4255
  • [10] An efficient resource provisioning algorithm for workflow execution in cloud platform
    Kumar, Madhu Sudan
    Choudhary, Anubhav
    Gupta, Indrajeet
    Jana, Prasanta K.
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2022, 25 (06): : 4233 - 4255