登录查看更多内容

Last updated on 2024年7月9日

Your team is puzzled by latency in cloud computing. How can you help them grasp its significance?

由人工智能和领英社区提供技术支持

Understanding latency in cloud computing is crucial for optimizing the performance of online services and applications. Latency refers to the delay before a transfer of data begins following an instruction for its transfer. In cloud computing, latency can affect how quickly content is delivered to users, which is especially significant for time-sensitive applications like video streaming or online gaming. High latency can lead to poor user experiences, while low latency is often a key competitive advantage. Your team might be puzzled by the various factors that contribute to latency, but by breaking down its components, you can help them grasp its significance and work towards minimizing it.

此文章中的业界达人

由社区从 3 条内容中精选。了解更多

Harshit Kavathia

AI Enthusiast | Information Systems @ UMD
Shivam Goswami

Senior Engineer - PaaS Deployment & Integration @ Telenity || Ex Mavenir | Ex CGI | Deployment & Ops Engineer | NFVI |…

1 Latency Explained

Latency in cloud computing is the time it takes for a data packet to travel from its source to its destination. It's like the delay between clicking a link and the webpage loading. This delay can be caused by physical distance, network congestion, or the routing methods of data packets. For cloud services, low latency is vital as it ensures quick response times for users. If your team is developing or using cloud-based applications, understanding latency and its causes is essential for troubleshooting performance issues and improving the user experience.

添加您的观点

2 Key Factors

Several key factors contribute to latency in cloud computing. The physical distance between the server and the client can significantly impact response times. Additionally, the quality of the network infrastructure, including routers and switches, plays a role. Bandwidth is another critical factor; insufficient bandwidth can lead to network congestion, further increasing latency. By identifying which factors are at play, your team can take steps to optimize them, such as using a content delivery network (CDN) to reduce physical distance or upgrading network infrastructure.

添加您的观点

Harshit Kavathia

AI Enthusiast | Information Systems @ UMD
举报内容
One of the key things to keep in mind while evaluating and troubleshooting latency issue is the distance of servers where our services are hosted on cloud. When my team was migrating an application from on-premise to cloud, I witnessed this issue by myself and my team tried different approaches like changing network settings, changing some key DB queries, implementing lesser time complexity logic to our features. But no luck with any of them. After, we found that some dependent applications and databases were still hosted on on-premise server which caused latency in handshake. The latency issue is also much prevalent in hybrid cloud solutions, where considering the distance of servers could help overcome the said issue.

已翻译

赞

3 Measuring Latency

Measuring latency is a fundamental step in addressing it. Tools like ping and traceroute can help your team assess latency by tracking the time it takes for a packet to reach a server and return. These measurements can reveal delays in the network and help pinpoint where they're occurring. Regular monitoring of latency can also inform your team if performance is degrading over time, allowing for proactive management and maintenance of your cloud services.

添加您的观点

4 Impact on Users

The impact of latency on users can be significant. High latency can lead to frustrating experiences, such as slow-loading websites or lag in online games. This can result in decreased user satisfaction and potentially lost revenue for businesses. Your team should prioritize reducing latency to enhance the overall user experience. By doing so, you can maintain a competitive edge and keep users engaged with your cloud-based applications.

添加您的观点

5 Reducing Latency

Reducing latency involves several strategies. Your team could optimize application code to be more efficient or use caching to store frequently accessed data closer to users. Another approach is to distribute load across multiple servers or use edge computing to process data nearer to the end-user. It's also essential to choose cloud providers with data centers located near your target audience to minimize physical distance. By implementing these strategies, you can significantly decrease latency and improve service performance.

添加您的观点

Ryan Teo

Backend/Server-Side Software Engineer for Large Scale Computing
举报内容
While it is important to choose cloud providers with data centers closer to your end users, it must be configured to route traffic accordingly and scale up capacity as needed. A common pitfall is when automatic load balancing is triggered and some of the traffic is routed to another data center across the planet instead. This can hurt latency. Careful rules need to be set up to avoid such "bad routes", alongside auto-scaling to effectively reduce latency.

已翻译

赞

6 Future Trends

Staying ahead of future trends in cloud computing can help your team anticipate and mitigate latency issues before they impact users. Developments like 5G technology and advanced routing algorithms promise to reduce latency further. By keeping an eye on these trends and continuously optimizing your cloud infrastructure, you ensure that your services remain fast, reliable, and competitive in a rapidly evolving digital landscape.

添加您的观点

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

添加您的观点

Shivam Goswami

Senior Engineer - PaaS Deployment & Integration @ Telenity || Ex Mavenir | Ex CGI | Deployment & Ops Engineer | NFVI | Telco Cloud | SIP | VOIP | IMS | VMware | Testing & Deployment Specialist
举报内容
Latency in cloud computing can be a puzzling issue, but understanding its significance is crucial. Imagine trying to stream a movie, but it constantly buffers—frustrating, right? That's latency in action. It’s the delay between a user's action and the cloud's response. High latency means slower performance, which can impact user experience and application efficiency. To help your team grasp this, compare it to everyday scenarios: like waiting for a slow elevator versus a fast one. Visualize the impact with real-time demos showing low vs. high latency effects. Emphasize that reducing latency leads to faster, smoother operations, keeping users happy and systems efficient.

已翻译

赞

Computer Engineering

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

Your team is puzzled by latency in cloud computing. How can you help them grasp its significance?

1

2

3

4

5

6

7

1 Latency Explained

2 Key Factors

3 Measuring Latency

4 Impact on Users

5 Reducing Latency

6 Future Trends

7 Here’s what else to consider

Computer Engineering

给文章评分

感谢您的反馈

更多Computer Engineering相关文章

更多相关阅读内容

Your team is puzzled by latency in cloud computing. How can you help them grasp its significance?

1

2

3

4

5

6

7

1 Latency Explained

2 Key Factors

3 Measuring Latency

4 Impact on Users

5 Reducing Latency

6 Future Trends

7 Here’s what else to consider

Computer Engineering

给文章评分

感谢您的反馈

查看其他技能