Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Racing toward client-server solutions.

M C Cupito

    Health Management Technology
    |July 6, 1998
    PubMed
    Summary

    Client-server computing offers high performance, akin to a sports car. However, optimizing this system requires careful understanding and fine-tuning for optimal results.

    Related Experiment Videos

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Emerging technologies: has their time come?

    Health management technology·1998
    Same author

    Paper cuts? HIPAA's (Health Insurance Portability and Accountability Act) new rules.

    Health management technology·1998
    Same author

    "Hire" education: lessons for IT execs.

    Health management technology·1998
    Same author

    Enterprise integration. Balancing people, places and times.

    Health management technology·1998
    Same author

    How to find who.

    Health management technology·1998
    Same author

    Enterprise integration. A lesson from trains, boats and planes.

    Health management technology·1998

    Area of Science:

    • Computer Science
    • Information Technology

    Background:

    • Mainframe computing provides reliable, albeit slower, performance.
    • Client-server architecture is often compared to a high-performance sports car.

    Purpose of the Study:

    • To highlight the performance potential of client-server systems.
    • To emphasize the need for understanding and fine-tuning client-server performance.

    Main Methods:

    • Comparative analysis of computing architectures.
    • Performance evaluation methodologies.

    Main Results:

    • Client-server systems can achieve superior performance.
    • Suboptimal performance is observed without proper system understanding and tuning.

    Conclusions:

    • Effective implementation is key to realizing client-server benefits.
    • Further research into client-server optimization techniques is warranted.