Network Latency in Service Level Agreement Dataset (Publication Date: 2024/02)

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Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:



  • How will your new network architecture/technology impact existing application performance?
  • Why low latency network communication is required for High Performance Computing?
  • What are the possible performance issues that cause traffic loss or network latency?


  • Key Features:


    • Comprehensive set of 1583 prioritized Network Latency requirements.
    • Extensive coverage of 126 Network Latency topic scopes.
    • In-depth analysis of 126 Network Latency step-by-step solutions, benefits, BHAGs.
    • Detailed examination of 126 Network Latency case studies and use cases.

    • Digital download upon purchase.
    • Enjoy lifetime document updates included with your purchase.
    • Benefit from a fully editable and customizable Excel format.
    • Trusted and utilized by over 10,000 organizations.

    • Covering: Order Accuracy, Unplanned Downtime, Service Downgrade, Vendor Agreements, Service Monitoring Frequency, External Communication, Specify Value, Change Review Period, Service Availability, Severity Levels, Packet Loss, Continuous Improvement, Cultural Shift, Data Analysis, Performance Metrics, Service Level Objectives, Service Upgrade, Service Level Agreement, Vulnerability Scan, Service Availability Report, Service Customization, User Acceptance Testing, ERP Service Level, Information Technology, Capacity Management, Critical Incidents, Service Desk Support, Service Portfolio Management, Termination Clause, Pricing Metrics, Emergency Changes, Service Exclusions, Foreign Global Trade Compliance, Downtime Cost, Real Time Monitoring, Service Level Reporting, Service Level Credits, Minimum Requirements, Service Outages, Mean Time Between Failures, Contractual Agreement, Dispute Resolution, Technical Support, Change Management, Network Latency, Vendor Due Diligence, Service Level Agreement Review, Legal Jurisdiction, Mean Time To Repair, Management Systems, Advanced Persistent Threat, Alert System, Data Backup, Service Interruptions, Conflicts Of Interest, Change Implementation Timeframe, Database Asset Management, Force Majeure, Supplier Quality, Service Modification, Service Performance Dashboard, Ping Time, Data Retrieval, Service Improvements, Liability Limitation, Data Collection, Service Monitoring, Service Performance Report, Service Agreements, ITIL Service Desk, Business Continuity, Planned Maintenance, Monitoring Tools, Security Measures, Service Desk Service Level Agreements, Service Level Management, Incident Response Time, Configuration Items, Service Availability Zones, Business Impact Analysis, Change Approval Process, Third Party Providers, Service Limitations, Service Deliverables, Communication Channels, Service Location, Standard Changes, Service Level Objective, IT Asset Management, Governing Law, Identity Access Request, Service Delivery Manager, IT Staffing, Access Control, Critical Success Factors, Communication Protocol, Change Control, Mean Time To Detection, End User Experience, Service Level Agreements SLAs, IT Service Continuity Management, Bandwidth Utilization, Disaster Recovery, Service Level Requirements, Internal Communication, Active Directory, Payment Terms, Service Hours, Response Time, Mutual Agreement, Intellectual Property Rights, Service Desk, Service Level Targets, Timely Feedback, Service Agreements Database, Service Availability Thresholds, Change Request Process, Priority Levels, Escalation Procedure, Uptime Guarantee, Customer Satisfaction, Application Development, Key Performance Indicators, Authorized Changes, Service Level Agreements SLA Management, Key Performance Owner




    Network Latency Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):


    Network Latency


    Network latency refers to the delay in data transmission between devices on a network. The new architecture/technology will likely improve application performance by reducing this delay.


    1. Implementing a dedicated network infrastructure: Reduces latency and ensures stable and reliable connection for applications.

    2. Utilizing load balancing techniques: Distributes traffic evenly across multiple servers, minimizing congestion and improving application performance.

    3. Regularly monitoring network traffic: Identifies areas of high latency and can help troubleshoot issues quickly.

    4. Implementing Quality-of-Service (QoS): Prioritizes critical application traffic, reducing delays and improving performance.

    5. Upgrading hardware and software: Ensures compatibility with new network architecture and can improve processing speed and latency.

    6. Employing caching technology: Stores frequently accessed data, reducing the need for constant communication with the network and improving performance.

    7. Utilizing Content Delivery Network (CDN): Improves application performance by storing content closer to end users, reducing network latency.

    8. Ongoing network optimization: Regularly reviewing and adjusting network settings can improve overall performance and reduce latency.

    9. Partnering with a managed service provider: Outsourcing network management to experts can ensure efficient and effective solutions for minimizing latency.

    10. Considering network virtualization: Can reduce network complexity and streamline processes, potentially improving application performance and reducing latency.

    CONTROL QUESTION: How will the new network architecture/technology impact existing application performance?


    Big Hairy Audacious Goal (BHAG) for 10 years from now:

    By 2031, we aim to achieve an average network latency of less than 10 milliseconds globally, regardless of the device or location. This will be made possible by the implementation of a revolutionary new network architecture that incorporates cutting-edge technologies such as SDN (Software-Defined Networking), NFV (Network Function Virtualization), and Edge Computing.

    This new network architecture will allow for intelligent and dynamic routing of traffic, reducing the distance data needs to travel between devices and servers. Additionally, with the integration of AI and machine learning, the network will be able to anticipate and proactively address potential latency issues, improving overall application performance.

    Furthermore, this new architecture will also enhance security and resilience, ensuring that any potential cyber threats do not affect network performance. With these advancements, we expect to see a significant improvement in the user experience, enabling seamless streaming, gaming, and real-time communication across the globe.

    In addition to benefiting consumers, this new network architecture will have a profound impact on various industries, such as healthcare, finance, and transportation. With reduced latency, critical applications in these industries can operate more efficiently, leading to better outcomes and improved service delivery.

    Overall, the implementation of this new network architecture will revolutionize how we connect and communicate, paving the way for a more interconnected and efficient world.

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    Network Latency Case Study/Use Case example - How to use:


    Client Situation:
    ABC Corporation is a multinational corporation with offices located across the globe. The company has been facing network latency issues in recent months, causing major disruptions to their business operations. The existing network infrastructure relied on a traditional hub-and-spoke architecture with centralized data centers and multiple branch locations, resulting in high network delays. This not only affected the performance of existing applications but also resulted in delays in new application development and deployment.

    Furthermore, with the increasing demand for cloud-based services and a growing remote workforce, the company’s IT team realized the need for a more modern and efficient network architecture to improve application performance and meet the evolving business requirements.

    Consulting Methodology:
    To address ABC Corporation’s network latency challenges, our consulting firm conducted a thorough analysis of the company’s current network infrastructure, including hardware, software, and processes. We also evaluated the business requirements and future growth projections to identify potential areas for improvement.

    Based on our findings, we recommended implementing a Software-Defined Wide Area Network (SD-WAN) architecture. SD-WAN leverages the power of software-defined networking to optimize traffic routing, reduce delays, and enhance the performance of critical applications across the network.

    Deliverables:
    1. Assessment report: Our team provided a detailed assessment report highlighting the current network performance and the impact of latency on different applications.
    2. SD-WAN design and implementation plan: We designed an SD-WAN architecture tailored to the business needs and recommended a phased implementation approach to minimize disruptions.
    3. Training and documentation: To ensure smooth transition and adoption, we provided training to the IT team on SD-WAN management and documented the new network architecture.
    4. Ongoing support: Our consultancy firm offered post-implementation support and monitoring to ensure the network operates at the expected level of performance.

    Implementation Challenges:
    The implementation of SD-WAN involved overcoming several challenges, including:
    1. Resistance to change: Introducing a new network architecture required a shift from traditional practices, which was met with resistance from some employees.
    2. Integration with legacy systems: The existing network infrastructure included legacy systems that needed to be integrated with the new SD-WAN architecture.
    3. Data security concerns: With data traveling over the internet, there was a concern for data security, and appropriate measures had to be taken to address it.

    KPIs:
    1. Network latency: The primary objective of implementing SD-WAN was to reduce network delay and improve application performance. Therefore, this KPI measured the average network latency before and after implementing SD-WAN.
    2. Application availability: We tracked the availability of critical applications to ensure the new network architecture did not negatively impact their performance.
    3. Employee satisfaction: The IT team’s satisfaction with the new SD-WAN architecture was also monitored to understand the overall success of the project.

    Management Considerations:
    Our consulting firm worked closely with ABC Corporation’s management to overcome any challenges and ensure the successful implementation of SD-WAN. To foster smooth communication and collaboration between the different teams involved, we appointed a dedicated project manager. We regularly communicated progress updates and provided training and support to ensure the IT team was equipped to manage and maintain the new network infrastructure effectively.

    Conclusion:
    The implementation of SD-WAN proved to be a game-changer for ABC Corporation. It helped the company overcome network latency issues, resulting in improved application performance and increased employee productivity. With the new network architecture, the company was also able to embrace cloud-based services and facilitate remote working, strengthening its business operations. Overall, the adoption of SD-WAN enabled ABC Corporation to keep pace with the ever-evolving technology landscape and meet the changing needs of the business.

    Citations:

    1. Optimizing Application and Network Performance with SD-WAN. Cato Networks whitepaper, https://info.catonetworks.com/optimize-application-network-performance-sd-wan.
    2. Neeleman, Christopher. Why SD-WAN is the solution to network latency. Network Computing, Informa Tech, 14 Jan. 2021, https://www.networkcomputing.com/networking/sd-wan-solution-network-latency.
    3. Buffington, Mark J., et al. The Economic Impact of Network Latency on Business Performance. IDC whitepaper, IDC, Sept. 2020, https://www.idc.com/getdoc.jsp?containerId=US46815820.
    4. Banaziak, Mariusz. The Impact of Network Latency on Employee Productivity. CIO, IDG Communications, 30 Oct. 2015, https://www.cio.com/article/3001967/the-impact-of-network-latency-on-employee-productivity.html.

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