Filters








82,019 Hits in 5.3 sec

A Data Generator for Cloud-Scale Benchmarking [chapter]

Tilmann Rabl, Michael Frank, Hatem Mousselly Sergieh, Harald Kosch
2011 Lecture Notes in Computer Science  
In this paper we present a data generator for cloud sized applications. Its architecture makes the data generator easy to extend and to configure.  ...  A key feature is the high degree of parallelism that allows linear scaling for arbitrary numbers of nodes.  ...  Acknowledgement The authors would like to acknowledge Meikel Poess for his helpful comments and feedback on earlier versions of the paper.  ... 
doi:10.1007/978-3-642-18206-8_4 fatcat:b57ved4itjdjlpdlvfuthaqk74

Cloud Performance Modeling with Benchmark Evaluation of Elastic Scaling Strategies

Kai Hwang, Xiaoying Bai, Yue Shi, Muyang Li, Wen-Guang Chen, Yongwei Wu
2016 IEEE Transactions on Parallel and Distributed Systems  
In this paper, we present generic cloud performance models for evaluating Iaas, PaaS, SaaS, and mashup or hybrid clouds.  ...  We test clouds with real-life benchmark programs and propose some new performance metrics. Our benchmark experiments are conducted mainly on IaaS cloud platforms over scaleout and scale-up workloads.  ...  To make clouds universally acceptable, we encourage cloud researchers and developers to work jointly in developing a set of application-specific benchmarks for important cloud and big-data application  ... 
doi:10.1109/tpds.2015.2398438 fatcat:blkvz2kyuzfqpbfrlv4id2n54y

Benchmarking in the Cloud: What It Should, Can, and Cannot Be [chapter]

Enno Folkerts, Alexander Alexandrov, Kai Sachs, Alexandru Iosup, Volker Markl, Cafer Tosun
2013 Lecture Notes in Computer Science  
This requirement yields new challenges for benchmarking and requires us to revisit existing benchmarking practices in order to adopt them to the Cloud.  ...  decisions for Cloud users, and to compare Cloud offerings.  ...  Recent work in the area of scalable data generation [34, 35] demonstrates how a special class of pseudo-random number generators (PRNGs) can be exploited for efficient generation of complex, update-aware  ... 
doi:10.1007/978-3-642-36727-4_12 fatcat:aiva75paozeepb3dnriuysj4vy

Towards realistic benchmarking for cloud file systems: Early experiences

Zujie Ren, Weisong Shi, Jian Wan
2014 2014 IEEE International Symposium on Workload Characterization (IISWC)  
A common issue for these efforts is performance benchmarking.  ...  As the preliminary step for designing a realistic benchmark, we make an effort to explore the characteristics of data and I/O workload in a production environment.  ...  We would like to thank software engineers from the A company for their support on log collection and early comments on the paper.  ... 
doi:10.1109/iiswc.2014.6983048 dblp:conf/iiswc/RenSW14 fatcat:p3dj5navnrdinnytkrutsmwmkm

PRIMEBALL: a Parallel Processing Framework Benchmark for Big Data Applications in the Cloud [article]

Jaume Ferrarons , Sandra Pietrowska
2013 arXiv   pre-print
In this paper, we draw the specifications of a novel benchmark for comparing parallel processing frameworks in the context of big data applications hosted in the cloud.  ...  We aim at filling several gaps in already existing cloud data processing benchmarks, which lack a real-life context for their processes, thus losing relevance when trying to assess performance for real  ...  MalStone is benchmark for data intensive computing and analysis [6] . It features MalGen, a synthetic data generator that produces large datasets to perform benchmarking.  ... 
arXiv:1312.6293v1 fatcat:wdiutxlvmrckloyzneu5sszb54

PRIMEBALL: A Parallel Processing Framework Benchmark for Big Data Applications in the Cloud [chapter]

Jaume Ferrarons, Mulu Adhana, Carlos Colmenares, Sandra Pietrowska, Fadila Bentayeb, Jérôme Darmont
2014 Lecture Notes in Computer Science  
In this position paper, we draw the specifications for a novel benchmark for comparing parallel processing frameworks in the context of big data applications hosted in the cloud.  ...  We aim at filling several gaps in already existing cloud data processing benchmarks, which lack a reallife context for their processes, thus losing relevance when trying to assess performance for real  ...  MalStone is benchmark for data intensive computing and analysis [6] . It features MalGen, a synthetic data generator that produces large datasets to perform benchmarking.  ... 
doi:10.1007/978-3-319-04936-6_8 fatcat:3s36gsmp5bbrxlirfjkhyincqu

How is the weather tomorrow?

Carsten Binnig, Donald Kossmann, Tim Kraska, Simon Loesing
2009 Proceedings of the Second International Workshop on Testing Database Systems - DBTest '09  
In this paper we argue that traditional benchmarks (like the TPC benchmarks) are not sufficient for analyzing the novel cloud services.  ...  Traditionally, the goal of benchmarking a software system is to evaluate its performance under a particular workload for a fixed configuration.  ...  As imposing one architecture variant is not reasonable, a cloud benchmark should be general enough to cover the different architectural variants.  ... 
doi:10.1145/1594156.1594168 dblp:conf/sigmod/BinnigKKL09 fatcat:vhxgppf67vcdho33qyv7c7bj3m

IaaS Cloud Benchmarking: Approaches, Challenges, and Experience [chapter]

Alexandru Iosup, Radu Prodan, Dick Epema
2014 Cloud Computing for Data-Intensive Applications  
We propose a generic approach for IaaS cloud benchmarking, discuss numerous challenges in developing this approach, and summarize our experience towards benchmarking IaaS clouds.  ...  Infrastructure-as-a-Service (IaaS) cloud computing is an emerging commercial infrastructure paradigm under which clients (users) can lease resources when and for how long needed, under a cost model that  ...  A GENERIC ARCHITECTURE FOR IAAS CLOUD BENCHMARKING We propose in this section a generic architecture for IaaS cloud benchmarking.  ... 
doi:10.1007/978-1-4939-1905-5_4 fatcat:27lr6kkccvdydmviuot6f2khgm

Scale-Out vs. Scale-Up Techniques for Cloud Performance and Productivity

Kai Hwang, Yue Shi, Xiaoying Bai
2014 2014 IEEE 6th International Conference on Cloud Computing Technology and Science  
With a mixed scaling mode, the cloud productivity is shown upgradable with higher flexibility in applications with performance/cost tradeoffs.  ...  Scale-out to a larger cluster of small nodes demonstrated high scalability. (2).  ...  Scale-Out Performance Results HiBench is a cloud benchmark for testing Hadoop performance [10] .  ... 
doi:10.1109/cloudcom.2014.66 dblp:conf/cloudcom/HwangSB14 fatcat:fnmnjmen2ngw5c5eushwyrs2jy

CSPC-Dataset: New LiDAR Point Cloud Dataset and Benchmark for Large-scale Semantic Segmentation

Guofeng Tong, Yong Li, Dong Chen, Qi Sun, Wei Cao, Guiqiu Xiang
2020 IEEE Access  
The semantic segmentation of large-scale point clouds is a crucial step for an in-depth understanding of complex scenes.  ...  Therefore, we construct a new point cloud dataset, namely CSPC-Dataset (Complex Scene Point Cloud Dataset) for large-scale scene semantic segmentation.  ...  The authors would like to thank Jianjun Zhang, Wenbo Zhao, Hao Wang, and Guangxu Ji at Northeastern University for data collecting and labeling.  ... 
doi:10.1109/access.2020.2992612 fatcat:nxyyh2hjh5atfalsnlcjyifjru

Plug and play bench: Simplifying big data benchmarking using containers

Sheriffo Ceesay, Adam Barker, Blesson Varghese
2017 2017 IEEE International Conference on Big Data (Big Data)  
Researchers have started exploring this area by providing benchmarking suites suitable for big data applications.  ...  Our proof of concept implementation utilises HiBench as the benchmark suite, HDP as the cluster deployment framework and Azure as the cloud platform.  ...  ACKNOWLEDGMENT This research was supported by a Microsoft Azure Award.  ... 
doi:10.1109/bigdata.2017.8258249 dblp:conf/bigdataconf/CeesayBV17 fatcat:twffqu7ypzahfcow7qs24bt3lq

Plug and Play Bench: Simplifying Big Data Benchmarking Using Containers [article]

Sheriffo Ceesay, Adam Barker, Blesson Varghese
2017 arXiv   pre-print
Researchers have started exploring this area by providing benchmarking suites suitable for big data applications.  ...  Our proof of concept implementation utilises HiBench as the benchmark suite, HDP as the cluster deployment framework and Azure as the cloud platform.  ...  ACKNOWLEDGMENT This research was supported by a Microsoft Azure Award.  ... 
arXiv:1711.09138v2 fatcat:by6vcwv44bdqlfjgftwsp2qwua

Performance Benchmarking of Infrastructure-as-a-Service (IaaS) Clouds with Cloud WorkBench

Joel Scheuner, Philipp Leitner
2019 Companion of the 2019 ACM/SPEC International Conference on Performance Engineering - ICPE '19  
We will motivate and introduce benchmarking of IaaS cloud in general, demonstrate the execution of a simple benchmark in a public cloud environment, summarize the CWB tool architecture, and interactively  ...  In this tutorial, we demonstrate how to write performance tests for IaaS clouds using the Web-based benchmarking tool Cloud WorkBench (CWB).  ...  We would like to thank the Ericsson Research Data Center (ERDC) for providing hardware resources for this tutorial.  ... 
doi:10.1145/3302541.3310294 dblp:conf/wosp/ScheunerL19 fatcat:fa2z755275ctzgklbl24ws4ze4

Performance Comparison of Spark Clusters Configured Conventionally and a Cloud Service

Hameeza Ahmed, Muhammad Ali Ismail, Muhammad Faraz Hyder, Syed Muhammad Sheraz, Nida Fouq
2016 Procedia Computer Science  
Apache Spark is an open source cluster computing technology specifically designed for large scale data processing.  ...  This paper deals with the deployment of Spark cluster as a cloud service on the OpenStack based cloud.  ...  For each workload, the input data of benchmarks is automatically generated by using prepare scripts.  ... 
doi:10.1016/j.procs.2016.04.014 fatcat:6ramsiir2jfilpnocif2hfov5q

IaaS cloud benchmarking

Alexandru Iosup
2013 Proceedings of the 2013 international workshop on Hot topics in cloud services - HotTopiCS '13  
Provisioning & Allocation Policies for IaaS Clouds (Q3) 7. Big Data: Large-Scale Graph Processing (Q4) 8.  ...  Provisioning & Allocation Policies for IaaS Clouds (Q3) 7. Big Data: Large-Scale Graph Processing (Q4) 8.  ... 
doi:10.1145/2462307.2462309 dblp:conf/wosp/Iosup13 fatcat:xtdv2ab4dbbolenkqol7miq2z4
« Previous Showing results 1 — 15 out of 82,019 results