APPLICATION PLACEMENT THROUGH MULTIPLE ALLOCATION DOMAIN AGENTS AND FLEXIBLE CLOUD SCHEDULER FRAMEWORK
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Accused Products
Abstract
There are provided a system, a method and a computer program product for operating a cloud computing infrastructure. In one embodiment, the system and method performs allocation domain modeling and provides a cloud scheduler framework that takes as input desired optimization objectives and the workload constraints and efficiently produces a placement solution that satisfies the constraints while optimizing the objectives in a way that adjusts itself depending on the objectives. As the objectives change, e.g., due to actions from system administrators or due to changes in business policies, the system optimizes itself accordingly and still produces efficient and optimized placement solutions. The system and method constructs an Allocation Domain (AD) that is a particular facet for allocating a logical entity to a physical entity. An AD is created using: variables, functional definitions (functions of variables), and a policy specification that includes a Boolean expression (of the functional definitions).
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Citations
42 Claims
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1-14. -14. (canceled)
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15. A system for operating a cloud computing system comprising:
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a memory storage device; and a processor device, coupled to the memory storage device, and configured to; receive a user application request having one or more user specified objectives and allocation constraints, said user request specifying requirements for placing logical entities on physical entities in a computing infrastructure; generate one or more bias weights based on said user specified objectives and allocation constraints; compute a probability distribution using said bias weights, said bias weights increasing likelihood of generating an optimized placement solution; generate, using said biased computed biased probability distribution, several sample placement solutions; obtain an optimized placement solution from said several sample solutions that satisfies all said user specified objectives and said user specified allocation constraints; and dynamically reconfigure the computing infrastructure by allocating the logical entities in the request to the physical entities based on said optimized placement solution. - View Dependent Claims (16, 17, 18)
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19. A system for operating a cloud computing system comprising:
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a memory storage device; and a processor device, coupled to the memory storage device, and configured to; receive a user application request having one or more user specified objectives and allocation constraints, said request specifying requirements for placing logical entities (LE) on physical entities (PE) in a computing infrastructure; construct an allocation domain (AD) corresponding to each received user specified allocation constraint, each AD representing a particular allocation of a LE to a PE in a sample placement solution in said computing infrastructure; dynamically create an allocation policy specific to an allocation domain; and evaluate each said generated sample placement solutions against an allocation policy corresponding to each said one or more allocation domains for a particular received application request to ensure compliance of said allocated constraints in said cloud infrastructure. - View Dependent Claims (20, 21, 22)
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23-28. -28. (canceled)
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29. A computer program product comprising a computer readable storage medium tangibly embodying a program of instructions executable by the computer for operating a cloud computing system, the program of instructions, when executing, performing the following steps:
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receiving a user application request having one or more user specified objectives and allocation constraints, said user request specifying requirements for placing logical entities on physical entities in a computing infrastructure; generating one or more bias weights based on said user specified objectives and allocation constraints; computing a probability distribution using said bias weights, said bias weights increasing likelihood of generating an optimized placement solution; generating, using said biased computed biased probability distribution, several sample placement solutions; obtaining an optimized placement solution from said several sample solutions that satisfies all said user specified objectives and said user specified allocation constraints; and dynamically reconfiguring the computing infrastructure by allocating the logical entities in the request to the physical entities based on said optimized placement solution. - View Dependent Claims (30, 31, 32, 33, 34, 35, 36)
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37. A computer program product comprising a computer readable storage medium tangibly embodying a program of instructions executable by the computer for operating a cloud computing system, the program of instructions, when executing, performing the following steps:
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receiving a user application request having one or more user specified objectives and allocation constraints, said request specifying requirements for placing logical entities (LE) on physical entities (PE) in a computing infrastructure; constructing an allocation domain (AD) corresponding to each received user specified allocation constraint, each AD representing a particular allocation of a LE to a PE in a sample placement solution in said computing infrastructure; dynamically creating an allocation policy specific to an allocation domain; and evaluating each said generated sample placement solutions against an allocation policy corresponding to each said one or more allocation domains for a particular received application request to ensure compliance of said allocated constraints in said cloud infrastructure. - View Dependent Claims (38, 39, 40, 41, 42)
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Specification