Dell products l.p. (20240126619). MANAGING COMPUTING WORKLOADS WITHIN A COMPUTING ENVIRONMENT simplified abstract

MANAGING COMPUTING WORKLOADS WITHIN A COMPUTING ENVIRONMENT

Organization Name

dell products l.p.

Inventor(s)

RISHI Mukherjee of Bangalore (IN)

RAVISHANKAR N. Kanakapura of Bangalore (IN)

PRASOON KUMAR Sinha of Bangalore (IN)

RAVEENDRA BABU Madala of Bangalore (IN)

MANAGING COMPUTING WORKLOADS WITHIN A COMPUTING ENVIRONMENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240126619 titled 'MANAGING COMPUTING WORKLOADS WITHIN A COMPUTING ENVIRONMENT

Simplified Explanation

The patent application focuses on managing computing workloads within a computing environment by evaluating various parameters of data center elements, computing clusters, and computing nodes to optimize resource availability and efficiency.

• Identifying computing parameters of data center elements and computing clusters
• Determining the health of power devices in each computing cluster
• Assessing the processing load of each computing node within a cluster
• Calculating the computing cost associated with the geo-location of each computing node
• Generating a ranking of computing clusters based on resource availability

Potential Applications

This technology could be applied in cloud computing environments, data centers, and large-scale computing systems to optimize resource allocation and workload management.

Problems Solved

1. Efficient resource utilization within computing clusters 2. Improved decision-making for workload distribution and allocation

Benefits

1. Enhanced performance and reliability of computing clusters 2. Cost-effective resource management 3. Increased overall efficiency of computing environments

Potential Commercial Applications

Optimizing cloud computing services Enhancing data center operations Improving scalability and flexibility of computing systems

Possible Prior Art

While there may be existing technologies related to workload management and resource optimization in computing environments, the specific approach outlined in this patent application appears to offer a comprehensive and systematic method for evaluating and ranking computing clusters based on various parameters.

How does this technology compare to existing workload management solutions in terms of scalability and adaptability?

This article does not provide a direct comparison with other workload management solutions, leaving room for further exploration into the unique advantages and limitations of this approach.

What potential challenges or limitations could arise when implementing this technology in real-world computing environments?

The article does not address potential obstacles or drawbacks that may be encountered during the implementation of this technology, warranting further investigation into practical considerations and potential hurdles.

Original Abstract Submitted

managing computing workloads within a computing environment including identifying computing parameters of datacenter elements of each computing cluster of a computing environment; for each computing cluster of the computing environment: determining a health of the power device of the computing cluster; for each computing node of the computing cluster: determining a processing load of the computing node; determining a computing cost associated with a geo-location of the computing node; calculating, for each computing cluster, an availability of computing resources of the computing cluster based on the computing parameters of the data center elements of the computing cluster, the health of the power device of the computing cluster, the processing load of each computing node of the computing cluster, and the computing cost of each computing node of the computing cluster; generating a ranking of each computing cluster based on the availability of the computing resources of the computing cluster.