Lightweight Web Services Migration Framework in Hybrid Clouds

被引:0
|
作者
Alaeddine, Saadaoui [1 ]
Scott, Stephen L. [1 ,2 ]
机构
[1] Tennessee Technol Univ, Dept Comp Sci, Cookeville, TN 38505 USA
[2] Oak Ridge Natl Lab, Oak Ridge, TN USA
来源
2018 4TH IEEE INTERNATIONAL CONFERENCE ON COLLABORATION AND INTERNET COMPUTING (CIC 2018) | 2018年
关键词
component; web services; hybrid cloud; migration; JMX; monitoring;
D O I
10.1109/CIC.2018.00025
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Service-oriented architectures allow the deployment of loosely coupled services that are platform independent. An enterprise can take advantage of service-oriented architecture in two different directions. On one side, the abstraction of technology implementation allows the deployment of web services in disparate systems. On the other side, the flexibility and independence of services from each other makes scalability easier to achieve. This paper presents a migration solution of web services in hybrid clouds. The adoption of hybrid cloud solutions is valuable for dynamic workloads to maintain the availability of web services during periods of spikes in demand. The migration solution is a lightweight framework composed of web services to manage cloud instances and the migration task of web services deployed on Java-based web containers. The peak management process is based on Java Management Extensions (JMX) technology to monitor resources and deployed web services. In addition, the framework dynamically integrates a set of JMX metrics to synchronize enterprise demand for resources with the migration process. Finally, a design of the framework prototype is described and a real case of CPU intensive web service is presented to test the migration process and show an improvement of CPU usage and execution time.
引用
收藏
页码:106 / 113
页数:8
相关论文
共 50 条
  • [1] A lightweight framework for mobile web services
    Kim, Yeon-Seok
    Lee, Kyong-Ho
    COMPUTER SCIENCE-RESEARCH AND DEVELOPMENT, 2009, 24 (04): : 199 - 209
  • [2] An Optimal Web Services Migration Framework in the Cloud Computing
    Mao Yingchi
    Xu Ziyang
    Wang Longbao
    Wang Jiulong
    PROCEEDINGS OF 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA 2015), 2015, : 153 - 156
  • [3] A Hybrid Framework for Web Services Reliability and Performance Assessment
    Guerriero, Antonio
    Mirandola, Raffaela
    Pietrantuono, Roberto
    Russo, Stefano
    2019 IEEE 30TH INTERNATIONAL SYMPOSIUM ON SOFTWARE RELIABILITY ENGINEERING WORKSHOPS (ISSREW 2019), 2019, : 185 - 192
  • [4] Dynamic adaptive migration of Web Services
    Nori, S
    Antonopoulos, N
    ICWS'03: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON WEB SERVICES, 2003, : 493 - 499
  • [5] Healthcare Application Migration in Compliant Hybrid Clouds
    Sailer, Anca
    Yang, Bo
    Jain, Siddharth
    Tomala-Reyes, Angel E.
    Singh, Manu
    Ramnath, Anirudh
    SERVICE-ORIENTED COMPUTING (ICSOC 2018), 2018, 11236 : 725 - 739
  • [6] Cost-Minimizing Dynamic Migration of Content Distribution Services into Hybrid Clouds
    Qiu, Xuanjia
    Li, Hongxing
    Wu, Chuan
    Li, Zongpeng
    Lau, Francis C. M.
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2015, 26 (12) : 3330 - 3345
  • [7] A task migration framework based on Web services in ubiquitous computing environment
    Jeon, T
    Han, J
    Choi, J
    PSC '05: Proceedings of the 2005 International Conference on Pervasive Systems and Computing, 2005, : 133 - 139
  • [8] A Web Services Gateway for the H2O Lightweight Grid Computing Framework
    Migliardi, Mauro
    TOWARDS A SERVICE-BASED INTERNET, 2008, 5377 : 220 - 229
  • [9] Improving Reliability and Availability of IaaS Services in Hybrid Clouds
    Apduhan, Bernady
    Younas, Muhammad
    Uchibayashi, Toshihiro
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2015, PT I, 2015, 9155 : 557 - 568
  • [10] A Hybrid MCDM Framework for Efficient Web Services Selection Based on QoS
    Ouadah, Abdelaziz
    Hadjali, Allel
    Nader, Fahima
    PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON APPLIED SMART SYSTEMS (ICASS), 2018,