Home
Refer
Jobs
Alumni
Resume
Notifications
Here's a technical interview question for Software Development Engineer - Amazon Robotics, Resource Management role at Amazon:
1. How would you design a system to manage the allocation and tracking of resources (compute power, storage, network, etc.) within a distributed robotic system? Consider the challenges surrounding scalability, reliability, and fault tolerance.
Here's a technical interview question for Software Development Engineer - Amazon Robotics, Resource Management role at Amazon:
1. How would you design a system to manage the allocation and tracking of resources (compute power, storage, network, etc.) within a distributed robotic system? Consider the challenges surrounding scalability, reliability, and fault tolerance.
🚀 Best Answers Get Featured in our LinkedIn Community based on Your Consent, To Increase Your Chances of Getting Interviewed. 🚀
When designing a system to manage the allocation and tracking of resources within a distributed robotic system, there are several challenges that need to be addressed, including scalability, reliability, and fault tolerance. Here is how I would approach this problem:
By addressing these challenges, we can build a scalable, reliable, and fault-tolerant system for managing resources within a distributed robotic system.
- Define resource metrics:
Identify the different types of resources that need to be managed and define the metrics for each resource. For example, for compute power, we might use CPU cycles or memory usage. - Implement resource tracking:
Use a monitoring tool to track the resource utilization of all machines in the distributed system. This will provide real-time information about the availability and usage of resources. - Develop resource allocation algorithms:
Based on the resource metrics and tracking, build an algorithm for allocating resources to different tasks. The algorithm should take into account the priority of the task, the resource requirements of the task, and the current availability of resources. - Implement fault tolerance:
Build redundancy into the system to ensure that resources are still available in the event of a failure. This might involve having backup machines that can take over if one fails, or replication of data and resources across multiple machines. - Test and iterate:
Once the system is set up, run tests to validate its performance and reliability. Make improvements as needed based on the results.
Here are a few relevant citations related to resource management in distributed systems:
- Amazon Web Services. (n.d.). Scalable Resource Management and Allocation. https://aws.amazon.com/what-is-scalability/resource-management-allocation/
- Dean, J., &
Ghemawat, S. (2008). MapReduce:
Simplified Data Processing on Large Clusters. Communications of the ACM, 51(1), 107-113. - Vogels, W. (2009). Eventually Consistent. Communications of the ACM, 52(1), 40-44.