A scalable scheduling and resource management framework for cloud-native B2B applications
Dinesh Komarasamy, Rajkumar Rajavel, Karthikeyan Harimoorthy, Aravind Pitchai · 2025
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Description
Dinesh Komarasamy, Rajkumar Rajavel, Karthikeyan Harimoorthy, and Aravind Pitchai present a scheduling framework for cloud business software in a 2025 paper. Cloud customers rent computing power on demand, but surges in job arrivals stretch queues and drag down service. Standard schedulers handle jobs well yet often miss the joint problem of queue delay and flexible supply.
Their algorithm pairs two parts. A tree-based scheduler maps each incoming job to the best virtual machine at once, trimming waits. A scaling part grows or shrinks capacity as load and provider rules dictate. In experiments the pair lifted resource use by roughly five to ten percent and finished jobs faster through early scaling. The authors aim it at business tools that cannot afford stalls.
Catalog record
| CREATOR | Dinesh Komarasamy, Rajkumar Rajavel, Karthikeyan Harimoorthy, Aravind Pitchai |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 77 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |