Scalable Framework Enforces User Logic Large Systems
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Hasthi is a system management framework that allows users to define management logic through rules. It addresses the challenge of enforcing user-defined logic that requires a global view of the system on large-scale distributed systems. Hasthi scales through a distributed manager cloud architecture, a meta-model that provides a summarized global state view, and prioritizing asynchronous and decentralized control. Experiments showed Hasthi could scale to manage over 100,000 resources and 1,000 managers through this approach.
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Scalable Framework Enforces User Logic Large Systems
- 1. ENFORCING USER-DEFINED MANAGEMENT LOGIC IN LARGE SCALE SYSTEMS Srinath Perera, Dennis Gannon Indiana University, Bloomington
- 5. System Management As a Potential Solution + Role of User Defined Management Logic
- 7. Approach Scalable Robust Ease of Writing management logic Problems Decentralized control (e.g. DMonA , and Deugo et al .) Highly Yes Hard Hard for users to write rules to achieve emergent behavior Complex Event processing (DREAM) Yes Possible Not Easy Event model has limited Memory Consistent view across managers (e.g. Georgiadis et al. ) No Yes Yes Need ordered reliable multicast – does not scale Hierarchical control with aggregation (Monalisa) Highly Possible Not Easy Lose identity of a single resource due to aggregation Hierarchy with Policies at each level (e. g. WildCat) Yes Possible Possible Policies are not as explicit as rules. State Machine (Dubey et al. ) Yes Possible Not Easy Users have to construct this state machine, which is hard
- 26. Questions
Notas do Editor
- IT has become indispensable part of our life Millions of users => increase userbases => Big deal to Google or Amazon Successes depend on ability to make sense of data => Killer app of our time is Search, “Large Scale Search”
- I said it is possible to build large scale systems, keeping them running is a different story!! Most of us have come to contact with large scale systems and no what it takes Changes->Operational cost->Unreliable Middleware Many solutions -> Quote Patterson -> System management as a potential solutions
- Role of system management more like Human manager, watch over and control the system. We call the system being managed, a “managed system” I focus on Monitor -> Decide -> Execute NOT on specifications, rather how to use exposed data
- This is outline
- Resources, Managers, a special manager (Coordinator) Elected Among them, Bootstrap nodes (the entry point, not shown in the figure) Heartbeats , Resources => Manager, Manager => Coordinator Coordinator failed? Manager Failed? Resource Failed?
- k.