Big data technologies with computational model computing using Hadoop with scheduling challenges
Big Data (BD), with their capability to learn esteemed bits of knowledge for an improved
dynamic cycle, have as of late pulled in generous enthusiasm from the two scholastics and …
dynamic cycle, have as of late pulled in generous enthusiasm from the two scholastics and …
Cluster-Wide Task Slowdown Detection in Cloud System
Slow task detection is a critical problem in cloud operation and maintenance since it is
highly related to user experience and can bring substantial liquidated damages. Most …
highly related to user experience and can bring substantial liquidated damages. Most …
Defending the Cloud: Understanding the Role of Explainable AI in Intrusion Detection Systems
As cloud computing continues to evolve, the security of cloud-based systems remains a
paramount concern. This research paper delves into the intricate realm of intrusion detection …
paramount concern. This research paper delves into the intricate realm of intrusion detection …
Mrs-dp: Improving performance and resource utilization of big data applications with deadlines and priorities
U Upadhyay, G Sikka - Big data, 2020 - liebertpub.com
This article proposes the MapReduce scheduler with deadline and priorities (MRS-DP)
scheduler capable of handling jobs with deadlines and priorities. Big data have emerged as …
scheduler capable of handling jobs with deadlines and priorities. Big data have emerged as …
YARN Schedulers for Hadoop MapReduce Jobs: Design Goals, Issues and Taxonomy
G Kotikam, L Selvaraj - Recent Advances in Computer Science …, 2023 - ingentaconnect.com
Objective: Big Data processing is a demanding task, and several big data processing
frameworks have emerged in recent decades. The performance of these frameworks is …
frameworks have emerged in recent decades. The performance of these frameworks is …