IMI2S: A Lightweight Framework for Distributed Computing

被引:0
作者
Anzalone, Salvatore M. [1 ]
Avril, Marie [1 ]
Salam, Hanan [1 ]
Chetouani, Mohamed [1 ]
机构
[1] Univ Paris 06, Inst Syst Intelligents & Robot, T55-65,CC 173,4 Pl Jussieu, F-75005 Paris, France
来源
SIMULATION, MODELING, AND PROGRAMMING FOR AUTONOMOUS ROBOTS (SIMPAR 2014) | 2014年 / 8810卷
关键词
Software frameworks; distributed computing; multimodal perception; sensor networks; social signal processing; robotics framework;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
An increasing number of applications require the integration of heterogeneous hardware and software components. Due to the high levels of complexity that such integrations demand, several solution have been proposed in the state of art of software engineering. This paper introduces the IMI2S framework: a distributed computing software platform aimed to cope with such levels of complexity by simplifying the functional decomposition of the problems through the implementation of highly decoupled, efficient and portable software. We will present the design issues addressed in the development of the IMI2S framework. We will show through two case studies its flexibility and its general efficacy.
引用
收藏
页码:267 / 278
页数:12
相关论文
共 50 条
  • [41] An efficient Framework for distributed Computing in heterogeneous Beowulf Clusters and Cluster-Management
    Malysiak, Darius
    Handmann, Uwe
    2014 IEEE 15TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND INFORMATICS (CINTI), 2014, : 169 - 178
  • [42] DPAC: An object-oriented distributed and parallel computing framework for manufacturing applications
    Raghavan, NRS
    Waghmare, T
    IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 2002, 18 (04): : 431 - 443
  • [43] An Optimized Straggler Mitigation Framework for Large-Scale Distributed Computing Systems
    Said, Samar A.
    Habashy, Shahira M.
    Salem, Sameh A.
    Saad, Elsayed M.
    IEEE ACCESS, 2022, 10 : 97075 - 97088
  • [44] A distributed computing framework for wind speed big data forecasting on Apache Spark
    Xu, Yinan
    Liu, Hui
    Long, Zhihao
    SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2020, 37
  • [45] Blockchain and federated learning-based distributed computing defence framework for sustainable society
    Sharma, Pradip Kumar
    Park, Jong Hyuk
    Cho, Kyungeun
    SUSTAINABLE CITIES AND SOCIETY, 2020, 59
  • [46] On Scalability of Association-rule-based Recommendation: A Unified Distributed-computing Framework
    Wu, Zhiang
    Li, Changsheng
    Cao, Jie
    Ge, Yong
    ACM TRANSACTIONS ON THE WEB, 2020, 14 (03)
  • [47] PUF-Based Lightweight Authentication Framework for Large-Scale IoT Devices in Distributed Cloud
    Li, Dawei
    Liu, Di
    Qi, Yiren
    Liu, Feifei
    Guan, Zhenyu
    Liu, Jianwei
    IEEE NETWORK, 2023, 37 (04): : 56 - 62
  • [48] Towards Edge-enabled Distributed Computing Framework for Heterogeneous Android-based Devices
    Yao, Yongtao
    Liu, Bin
    Zhao, Yiwei
    Shi, Weisong
    2022 IEEE/ACM 7TH SYMPOSIUM ON EDGE COMPUTING (SEC 2022), 2022, : 531 - 536
  • [49] PicoGrid: A Web-Based Distributed Computing Framework for Heterogeneous Networks Using Java']Java
    Wittayasooporn, Nipun
    Panichevaluk, Apikrit
    Zhao, Yan
    ENGINEERING JOURNAL-THAILAND, 2015, 19 (01): : 153 - 165
  • [50] Multi-agent based distributed computing framework for master-slave particle swarms
    Zheng, Y.-J. (yujun.zheng@computer.org), 1600, Chinese Academy of Sciences (23): : 3000 - 3008