Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recent years have seen an explosion of data volumes from a myriad of distributed sources such as ubiquitous cameras and various sensors. The challenges of analyzing these geographically dispersed datasets are increasing due to the significant data movement overhead, time-consuming data aggregation, and escalating energy needs. Rather than constantly move a tremendous amount of raw data to remote warehouse-scale computing systems for processing, it would be beneficial to leverage in-situ server systems (InS) to pre-process data, i.e., bringing computation to where the data is located.    takes the first step towards designing server clusters for data processing in the field.  investigate two representative in-situ computing applications, where data is normally generated from environmentally sensitive areas or remote places that lack established utility infrastructure. These very special operating environments of in-situ servers urge us to explore standalone (i.e., off-grid) systems that offer the opportunity to benefit from local, self-generated energy sources. In this work  implement a heavily instrumented proof-of-concept prototype called InSURE: in-situ server systems using renewable energy.  develop a novel energy buffering mechanism and a unique joint spatio-temporal por management strategy to coordinate standalone por supplies and in-situ servers.  present detailed deployment experiences to quantify how our design fits with in-situ processing in the real world. Overall, InSURE yields 20%~60% improvements over a state-of-the-art baseline. It maintains impressive control effectiveness in under-provisioned environment and can economically scale along with the data processing needs. The proposed design is ll complementary to today's grid-connected cloud data centers and provides competitive cost-effectiveness.
['Chao Li', 'Yang Hu', 'Longjun Liu', 'Juncheng Gu', 'Mingcong Song', 'Xiaoyao Liang', 'Jingling Yuan', 'Tao Li']
I am writing a research paper on a idea Towards sustainable in-situ server systems in the big data era
[{"from": "human", "value": "I am writing a research paper on a idea Towards sustainable in-situ server systems in the big data era"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recent years have seen an explosion of data volumes from a myriad of distributed sources such as ubiquitous cameras and various sensors. The challenges of analyzing these geographically dispersed datasets are increasing due to the significant data movement overhead, time-consuming data aggregation, and escalating energy needs. Rather than constantly move a tremendous amount of raw data to remote warehouse-scale computing systems for processing, it would be beneficial to leverage in-situ server systems (InS) to pre-process data, i.e., bringing computation to where the data is located.    takes the first step towards designing server clusters for data processing in the field.  investigate two representative in-situ computing applications, where data is normally generated from environmentally sensitive areas or remote places that lack established utility infrastructure. These very special operating environments of in-situ servers urge us to explore standalone (i.e., off-grid) systems that offer the opportunity to benefit from local, self-generated energy sources. In this work  implement a heavily instrumented proof-of-concept prototype called InSURE: in-situ server systems using renewable energy.  develop a novel energy buffering mechanism and a unique joint spatio-temporal por management strategy to coordinate standalone por supplies and in-situ servers.  present detailed deployment experiences to quantify how our design fits with in-situ processing in the real world. Overall, InSURE yields 20%~60% improvements over a state-of-the-art baseline. It maintains impressive control effectiveness in under-provisioned environment and can economically scale along with the data processing needs. The proposed design is ll complementary to today's grid-connected cloud data centers and provides competitive cost-effectiveness."}]