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Profiling the Performance of Virtualized Databases with the TPCx-V Benchmark [chapter]

Andrew Bond, Doug Johnson, Greg Kopczynski, H. Reza Taheri
2016 Lecture Notes in Computer Science  
Using a prototype of the kit, we profiled the performance of a server running 60 virtual machines with 48 databases of different sizes, load levels, and workloads.  ...  data centers by augmenting the capabilities of the TPCx-V benchmark kit.  ...  of the TPCx-V benchmark.  ... 
doi:10.1007/978-3-319-31409-9_10 fatcat:mjynjzoacrfajgsuurihtqyiki

A Model-Based Approach to Anomaly Detection Trading Detection Time and False Alarm Rate [article]

Charles F. Gonçalves, Daniel S. Menasché, Alberto Avritzer, Nuno Antunes, Marco Vieira
2020 arXiv   pre-print
The methodology is evaluated using the TPCx-V workload, which was profiled during a set of executions using resource exhaustion anomalies that emulate the effects of anomalies affecting system performance  ...  The proposed approach was able to successfully detect the anomalies, with a low number of false positives (precision 90%-98%).  ...  It was also supported SPEC RG Security Benchmarking (Standard Performance Evaluation Corporation; http://www.spec.org, http:// research.spec.org).  ... 
arXiv:2006.08811v1 fatcat:g25ys5v2avc7pacuamsnujfl3a

A Survey on Edge Performance Benchmarking

Blesson Varghese, Nan Wang, David Bermbach, Cheol-Ho Hong, Eyal De Lara, Weisong Shi, Christopher Stewart
2021 ACM Computing Surveys  
This article first reviews articles published over the past three decades to trace the history of performance benchmarking from tightly coupled to loosely coupled systems.  ...  In this context, the performance characteristics of such systems will need to be captured rapidly, which is referred to as performance benchmarking, for application deployment, resource orchestration,  ...  The first is the TPCx-V (47) benchmark, which is a virtual machine benchmark for database workloads. The second is the TPCx-HS (48) benchmark, which is a big data benchmark on the cloud.  ... 
doi:10.1145/3444692 fatcat:75kmnweazzeppefekfyrxmemze

A Survey on Edge Performance Benchmarking [article]

Blesson Varghese and Nan Wang and David Bermbach and Cheol-Ho Hong and Eyal de Lara and Weisong Shi and Christopher Stewart
2020 arXiv   pre-print
This article first reviews articles published over the past three decades to trace the history of performance benchmarking from tightly coupled to loosely coupled systems.  ...  In this context, the performance characteristics of such systems will need to be captured rapidly, which is referred to as performance benchmarking, for application deployment, resource orchestration,  ...  The first is the TPCx-V (47) benchmark, which is a virtual machine benchmark for database workloads. The second is the TPCx-HS (48) benchmark, which is a big data benchmark on the cloud.  ... 
arXiv:2004.11725v2 fatcat:gyqqgfqf5fe2jk2ntlnd2itmli

Automatic Generation of Workload Profiles Using Unsupervised Learning Pipelines

David Buchaca Prats, Josep Lluis Berral, David Carrera
2018 IEEE Transactions on Network and Service Management  
The complexity of resource usage and power consumption on cloud-based applications makes the understanding of application behavior through expert examination difficult.  ...  We use these methods to find phases of similar behaviour in the workloads.  ...  TPCx-BB contains 30 frequently performed analytical jobs in the context of retailers with physical and online store presence.  ... 
doi:10.1109/tnsm.2017.2786047 fatcat:idlfldnoxnbufjnu2si4dljj4q

An Experimental and Comparative Benchmark Study Examining Resource Utilization in Managed Hadoop Context [article]

Uluer Emre Ozdil, Serkan Ayvaz
2021 arXiv   pre-print
We utilized three experimental Hadoop-on-PaaS proposals as they come out-of-the-box and conducted Hadoop specific workloads of the HiBench Benchmark Suite.  ...  However, managed Hadoop systems do present a black-box behavior to the end-users who cannot be clear on the inner performance dynamics, hence, on the benefits of leveraging them.  ...  The benchmark tool they used, namely BigBench (TPCx-BB), is an industry-standard benchmarking framework developed by Transaction Process- ing Performance Council (TPC).  ... 
arXiv:2112.10134v1 fatcat:yuc2gdfd6vbdbnyod2dspmzlfy

DeFog

Jonathan McChesney, Nan Wang, Ashish Tanwer, Eyal de Lara, Blesson Varghese
2019 Proceedings of the 4th ACM/IEEE Symposium on Edge Computing - SEC '19  
However, there are currently no benchmarks that can directly compare the performance of the application across the cloud-only, edgeonly and cloud-edge deployment platform to obtain any insight on performance  ...  Fog computing envisions that deploying services of an application across resources in the cloud and those located at the edge of the network may improve the overall performance of the application when  ...  Benchmarking on the cloud typically captures the performance of an application across different categories of resources, such as virtual machines (VMs) [28] and storage services [2] .  ... 
doi:10.1145/3318216.3363299 dblp:conf/edge/McChesney0TLV19 fatcat:3cichpci2bci5gi3v25bzhiqsa

Porting a benchmark with a classic workload to blockchain: TPC-C on Hyperledger Fabric [article]

Attila Klenik, Imre Kocsis
2021 pre-print
However, with the somewhat surprising, but ongoing absence of application-level performance benchmarks for DLTs, cross-DLT comparison for "classic" workloads and the evaluation of the performance impact  ...  We present the design and Hyperledger Caliper-based open implementation of a full port of the classic TPC-C benchmark to Hyperledger Fabric, complete with a structured approach for transforming the original  ...  Different of DLT has reached the point where the comparison of DLT capa- profiles exhibit different characteristics regarding their data access bilities with such macro-benchmarks as, e.g.  ... 
doi:10.1145/3477314.3507006 arXiv:2112.11277v1 fatcat:bnq5bku6gvf7na2cefixhlnvjm

Toward Practical Application-Aware Big Data Systems [article]

Jie You, University, My
2022
Improving the performance and efficiency of such systems can, therefore, improve user experience and reduce their operating cost.  ...  Moreover, the situation is exacerbated as new emerging applications become more intricate and their interactions with the infrastructures become more complex.  ...  I am grateful beyond words for having the opportunity to work with him in these years. I am truly thankful to my committee members, Professor Samir Khuller, Professor Harsha V.  ... 
doi:10.7302/6333 fatcat:74pvi7vkqzbj5i4u4acarskbvi

Just-in-time Analytics Over Heterogeneous Data and Hardware

Manolis Karpathiotakis
2017
Acknowledgements Putting together this thesis required the support and feedback of numerous people; without them, neither my PhD journey nor its destination would have been the same.  ...  Setup We use the TPCx-BB benchmark [20, 114] .  ...  Third, profiling revealed that both memory allocation and memory copying performed during the shadow-copy operation were sources of overhead.  ... 
doi:10.5075/epfl-thesis-8077 fatcat:y4a3i5zgcfewjbaarrkejthcgi

Dagstuhl Reports, Volume 7, Issue 10, October 2017, Complete Issue [article]

2018
Towards Performance Modeling and Performance Prediction across IR/RecSys/NLP We conclude by discussing how these explanatory models might be turned into predictive ones by using features describing these  ...  Then, we exemplify the development process of modern industry standard benchmarks through TPCx-HS.  ...  False Discovery Rate Estimation Issues in Large Database Searches and Proposal of Benchmarking Challenges We first discussed issues of false discovery rate (FDR) estimation for large databases with an  ... 
doi:10.4230/dagrep.7.10 fatcat:l6tpayrw6veapbnmuxaxcrcxye