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E2EProf: Automated End-to-End Performance Management for Enterprise Systems
2007
37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN'07)
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The E2EProf toolkit enables the efficient and nonintrusive capture and analysis of end-to-end program behavior for complex enterprise applications. ...
E2EProf permits an enterprise to recognize and analyze performance problems when they occur -online, to take corrective actions as soon as possible and whereever necessary along the paths currently taken ...
We show these results simply to demonstrate E2EProf's utility for online and automated system management, in addition to its already proven use by system administrators to diagnose performance problems ...
doi:10.1109/dsn.2007.38
dblp:conf/dsn/AgarwalaASM07
fatcat:btgcautobvhtlkulowbkofygp4
Performance troubleshooting in data centers
2013
ACM SIGOPS Operating Systems Review
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E2EProf: Automated End-to-End Performance Management for Enterprise Systems. ...
the whole data center and/or the end-to-end performance of the applications. ...
doi:10.1145/2553070.2553079
fatcat:musiuzk4hnd4xdjhcagqkxbday
Net-cohort
2012
Proceedings of the 9th international conference on Autonomic computing - ICAC '12
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To address this problem, we present 'Net-Cohort', which offers lightweight system-level techniques to (1) discover VM ensembles and (2) collect information about intra-ensemble VM interactions. ...
Placements based on ensemble information provided by Net-Cohort can result in an up to 385% improvement in application throughput for a RUBiS instance, a 56.4% improvement in application throughput for ...
Compared to Net-Cohort, E2EProf has higher runtime overheads due to capturing the end-to end latencies of all requests in multi-tier systems and applying cross correlation analysis to all network flows ...
doi:10.1145/2371536.2371540
dblp:conf/icac/HuSGZW12
fatcat:zga2ss4hqzanjnjunepttdlgce
VScope: Middleware for Troubleshooting Time-Sensitive Data Center Applications
[chapter]
2012
Lecture Notes in Computer Science
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Data-Intensive infrastructures are increasingly used for online processing of live data to guide operations and decision making. ...
VScope is a flexible monitoring and analysis middleware for troubleshooting such large-scale, time-sensitive, multi-tier applications. ...
However, VMs' resource contention on I/O devices can degrade the end-to-end performance of the application. ...
doi:10.1007/978-3-642-35170-9_7
fatcat:2aevtezkyjdktdujs7d7nhhq3m
A flexible architecture integrating monitoring and analytics for managing large-scale data centers
2011
Proceedings of the 8th ACM international conference on Autonomic computing - ICAC '11
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To effectively manage large-scale data centers and utility clouds, operators must understand current system and application behaviors. ...
Results show that the approach provides the flexibility to meet the demands of autonomic management at large scale with considerably better performance/cost than traditional and brute force solutions. ...
A resulting challenge is: how to design a cost-effective system minimizing management cost while yielding the best possible performance?. ...
doi:10.1145/1998582.1998605
dblp:conf/icac/WangSTEHW11
fatcat:ebelm7tgjvenjhx4aqdr7yabo4
Automatic performance diagnosis and recovery in cloud microservices
2022
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Therefore, there is an urgent need for an automatic performance problem management system that can not only detect anomalous behaviors (performance anomalies) but also uncover the root causes and recommend ...
To this end, this thesis contributes: (1) a method for locating the faulty service from which a performance anomaly originates, including a graphical model for capturing the propagation of the anomaly ...
Figure 9 An overall architecture of performance problem management system for cloud microservices. . . . . . . . . . ...
doi:10.14279/depositonce-14959
fatcat:byvzjzcizvar5bpwqhwcs4krcu