Automated Performance Management for the Big Data Stack

Summary: Characterizes performance-management requirements for heterogeneous big‑data stacks across applications, clusters, workloads, and deployment models (on‑prem, private/public/hybrid cloud) using extensive industrial telemetry. Proposes an automated cross‑layer architecture for diagnosis, tuning and SLA‑driven remediation, with deep dives into representative solutions. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 328
Venue: CIDR
Year: 2019
Pagerank: 4.1945683e-05
Overall Rank: 11,635 | 19.06%
DOI: -

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
11,668	Cost-Effective, Workload-Adaptive Migration of Big Data Applications to the Cloud	2019	SIGMOD	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
157	HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads	2009	VLDB	0.00040397359
359	Self-Driving Database Management Systems	2017	CIDR	0.0002592783
424	Tuning Database Configuration Parameters with iTuned	2009	VLDB	0.00023616398
868	Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs	2011	VLDB	0.00015789681
2,234	PerfEnforce Demonstration: Data Analytics with Performance Guarantees	2016	SIGMOD	9.2272296e-05
2,944	VQA: Vertica Query Analyzer	2014	SIGMOD	7.8392732e-05
3,216	WiSeDB: A Learning-based Workload Management Advisor for Cloud Databases	2016	VLDB	7.3601267e-05
3,479	Characterizing Tenant Behavior for Placement and Crisis Mitigation in Multitenant DBMSs	2013	SIGMOD	7.0539055e-05
4,961	Releasing Cloud Databases from the Chains of Performance Prediction Models	2017	CIDR	5.7984657e-05
9,066	Tempo: Robust and Self-Tuning Resource Management in Multi-tenant Parallel Databases	2016	VLDB	4.4035481e-05

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3,556	Solving Big Data Challenges for Enterprise Application Performance Management	2012	VLDB	6.9770145e-05
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