Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In the context of private datacenters that are operated by b service providers such as Google, multiple applications using data parallel frameworks, such as MapReduce, coexist and share a limited supply of link bandwidth capacities. It has been shown that failures are the norm, rather than the exception, in datacenters, and will negatively affect the performance of data parallel applications as failed tasks need to be relaunched and placed on newly selected servers. ,  argue that even with the presence of failures, link bandwidth should be allocated to competing applications with performance-centric fairness, in that the performance that applications enjoy should be proportional to their ights.  formulate and solve the open challenge of jointly optimizing placement decisions for relaunched tasks and bandwidth allocation, so that the adverse effects of failures on application performance are minimized. With our proposed algorithm implemented in the Mininet emulation testbed, our experiments show the effectiveness of our solutions towards minimizing the negative effects of failures, while still achieving performance-centric fairness.
['Li Chen', 'Baochun Li', 'Bo Li']
I am writing a research paper on a idea Surviving Failures with Performance-Centric Bandwidth Allocation in Private Datacenters
[{"from": "human", "value": "I am writing a research paper on a idea Surviving Failures with Performance-Centric Bandwidth Allocation in Private Datacenters"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In the context of private datacenters that are operated by b service providers such as Google, multiple applications using data parallel frameworks, such as MapReduce, coexist and share a limited supply of link bandwidth capacities. It has been shown that failures are the norm, rather than the exception, in datacenters, and will negatively affect the performance of data parallel applications as failed tasks need to be relaunched and placed on newly selected servers. ,  argue that even with the presence of failures, link bandwidth should be allocated to competing applications with performance-centric fairness, in that the performance that applications enjoy should be proportional to their ights.  formulate and solve the open challenge of jointly optimizing placement decisions for relaunched tasks and bandwidth allocation, so that the adverse effects of failures on application performance are minimized. With our proposed algorithm implemented in the Mininet emulation testbed, our experiments show the effectiveness of our solutions towards minimizing the negative effects of failures, while still achieving performance-centric fairness."}]