SORMSYS: Towards a Resource Management Platform for Self-Organizing Large Scale Distributed Systems

被引：1
|
作者：
Pop, Florin [1 ]
机构：
[1] Univ Politehn Bucuresti, Fac Automat Control & Computers, Dept Comp Sci, Bucharest, Romania
来源：
12TH INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING (SYNASC 2010) | 2011年
关键词：
Resource Management; Large Scale Distributed Systems; Self-organizing Systems; Optimization; Task Scheduling;
D O I：
10.1109/SYNASC.2010.42
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The SORMSYS project's main goal is to optimize resource management in large scale distributed systems with the capability of self-organization. This paper will present the design of management architecture based on existing middleware solutions through the design of algorithms and methods inspired by natural models. The architecture is full decentralized and it will aim to optimize resource management in different types of distributed systems such as Grid, P2P, and Cloud. The important components considered for the architecture are: allocation of resources, task scheduling, resource discovery, monitoring resources and provide fault tolerance. The SORMSYS project aims to highlights the original obtained results in internationally scientific community. The paper also presents the expecting results and discusses the performance evaluation of proposed architecture.
引用
收藏
页码：534 / 541
页数：8
相关论文
共 50 条
  • [1] Self-Organizing Democratized Learning: Toward Large-Scale Distributed Learning Systems
    Nguyen, Minh N. H.
    Pandey, Shashi Raj
    Tri Nguyen Dang
    Eui-Nam Huh
    Tran, Nguyen H.
    Saad, Walid
    Hong, Choong Seon
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (12) : 10698 - 10710
  • [2] Self-organizing approaches for large-scale spray multiagent systems
    Mamei, Marco
    Zambonelli, Franco
    [J]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, 3914 LNCS : 53 - 70
  • [3] Self-organizing approaches for large-scale spray multiagent systems
    Mamei, Marco
    Zambonelli, Franco
    [J]. SOFTWARE ENGINEERING FOR MULTI-AGENT SYSTEMS IV: RESEARCH ISSUES AND PRACTICAL APPLICATIONS, 2006, 3914 : 53 - 70
  • [4] Self-organizing software components in distributed systems
    Satoh, Ichiro
    [J]. ARCHITECTURE OF COMPUTING SYSTEMS - ARCS 2007, PROCEEDINGS, 2007, 4415 : 185 - 198
  • [5] Self-Organizing Map in analysis of large-scale industrial systems
    Simula, O
    Ahola, J
    Alhoniemi, E
    Himberg, J
    Vesanto, J
    [J]. KOHONEN MAPS, 1999, : 375 - 387
  • [6] SELF-ORGANIZING DATA MANAGEMENT SYSTEMS
    STOCKER, PM
    DEARNLEY, PA
    [J]. COMPUTER JOURNAL, 1973, 16 (02): : 100 - 105
  • [7] Towards Design of Self-Organizing Biomimetic Systems
    Woelfer, Christian
    Mangold, Michael
    Flassig, Robert J.
    [J]. ADVANCED BIOSYSTEMS, 2019, 3 (06)
  • [8] Towards Testing Self-organizing, Adaptive Systems
    Eberhardinger, Benedikt
    Seebach, Hella
    Knapp, Alexander
    Reif, Wolfgang
    [J]. TESTING SOFTWARE AND SYSTEMS (ICTSS 2014), 2014, 8763 : 180 - 185
  • [9] Distributed Learning for Energy-Efficient Resource Management in Self-Organizing Heterogeneous Networks
    Arani, Atefeh Hajijamali
    Mehbodniya, Abolfazl
    Omidi, Mohammad Javad
    Adachi, Fumiyuki
    Saad, Walid
    Guvenc, Ismail
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (10) : 9287 - 9303
  • [10] Towards testing self-organizing, adaptive systems
    Eberhardinger, Benedikt
    Seebach, Hella
    Knapp, Alexander
    Reif, Wolfgang
    [J]. Eberhardinger, Benedikt (benedikt.eberhardinger@informatik.uni-augsburg.de), 1600, Springer Verlag (8763): : 180 - 185
12345