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DTSTART:19700308T020000
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DTSTAMP:20260819T173713Z
LOCATION:Room 302
DTSTART;TZID=America/New_York:20260817T143000
DTEND;TZID=America/New_York:20260817T153000
UID:share_SHARE Pittsburgh 2026_sess111_TECH152@linklings.com
SUMMARY:Taming the Beast: WLM Optimization Strategies for z/OS Performance
  Analysts
DESCRIPTION:Peter Enrico (Enterprise Performance Strategies)\n\nThis prese
 ntation is by Peter Enrico; one of the original WLM algorithm designers an
 d developers. If your z/OS system working hard, or hardly working efficien
 tly? In this session, we cut through the complexity of Workload Manager po
 licy design and CPU optimization to give performance analysts a practical,
  actionable playbook. You'll learn how WLM service definitions directly in
 fluence CPU dispatching decisions, how to identify and eliminate CPU bottl
 enecks using RMF/SMF data, and how to tune goal mode policies to protect c
 ritical workloads without starving batch. Walk away with best practices yo
 u can apply the day you return to the office.\n\nTrack: Performance and Ca
 pacity Management, z/OS Systems Programming\n\nAudience Level: Intermediat
 e\n\nLearning Objectives: Manage Workloads and Capacity Planning\n\n
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