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isilon hadoop performance

Installation will follow the following high level plan. The numbers themselves are interesting, however beyond saying that “Yes, Isilon can effectively provide an HDFS layer to a Hadoop compute-only cluster”, I believe there is still some investigation that can and will take place. SmartConnect is a module that specifies how the DNS server on an August 2020 DELL EMC ISILON BEST PRACTICES GUIDE FOR HADOOP DATA STORAGE ABSTRACT This white paper describes the best practices for setting up and managing the HDFS service on a Dell EMC Isilon cluster to optimize data storage for Hadoop analytics. When Hadoop compute clients connect to the. OneFS Web Administration Guide for your version of Covers MapReduce, Hive, and Spark use cases. OneFS enables you to specify a group of preferred HDFS nodes on your Isilon cluster and an associated group of Hadoop compute clients as a virtual HDFS rack. Reference architecture . If there are no directory services, such as Active Directory or LDAP, that can perform a user lookup, you must create a local Hadoop user or group. The “scratch” space for the Hadoop jobs was run within each VMDK for the specific worker node, this was not setup to be kept on the Isilon — which is an option. Hadoop compute clients can access the data that is stored on an We are currently working with the Microsoft’s Azure team to get these storage solutions available to customers in the cloud as well. Directories and permissions will vary by Hadoop distribution, environment, requirements, and security policies. OneFS serves as the file system for Hadoop compute clients. OneFS CLI Administration Guide or Scale-Out Storage Platform. This reference architecture provides for hot-tier data in high-throughput, low-latency Dedupe – applying Isilon’s SmartDedupe can further dedupe data on Isilon, making HDFS storage even more efficient. Dell EMC Isilon provides a high-performance scale-out HDFS solution and Dell EMC ECS provides a high-capacity scale-out S3A solution, both are on-premise storage solutions. Isilon cluster should match the profiles of the accounts on your Hadoop compute clients. Support for HDP 3.1 with the Isilon … In a Hadoop implementation on an OneFS Hadoop implementation differs from a traditional Hadoop deployment. EMC Isilon Hadoop Starter Kit (documentation and scripts) ... With the Hadoop cluster ready it’s finally time for some performance tests. Increasing Hadoop Resiliency Performance with EMC Isilon - Duration: 42:17. LiveData Platform delivers this active transactional data replication across clusters deployed on any storage that supports the Hadoop-Compatible File system (HCFS) API, local and NFS mounted file systems running on NetApp, EMC Isilon, or any Linux-based servers, as well as cloud object storage systems such as Amazon S3. Enabling account does not make this account interactive logon aware they are still just ID’s used by Isilon for HDFS ID management. As with any technology shift, there are positives and negatives and it is up to us to determine for ourselves what works best for our environments. With … OneFS load balances HDFS connections across all the nodes in the Isilon cluster. Support for HDP 3.1 with the Isilon … Each blade was setup to boot from a dedicated SAN LUN for ESXi. With Isilon, there is no need to create a separate environment to ingest data into a Hadoop cluster because the data can be written directly to Isilon using NFS, SMB, HTTP, or FTP and read by the Hadoop cluster using HDFS. Isilon GUI shows that inbound throughput jumps to 15-19Gbit/s. Hadoop Distributions and Products Supported by OneFS. In this case, it focused on testing all the services running with HDP 3.1 and CDH 6.3.1 and it validated the features and functions of the HDP and CDH cluster. For Hadoop analytics, the Performing the tests in this manner allows you to see the effectiveness of scaling out the number of nodes within a Hadoop cluster and what effect the node size has within each cluster deployment. Isilon supports HDFS natively therefore is a great deployment strategy because you gain all the benefits of scale out NAS in a Hadoop virtualized environment – incremental scalability, throughput and performance, HA, data protection, etc. EMC ISILON HADOOP STARTER KIT FOR IBM BIGINSIGHTS 6 EMC Isilon Hadoop Starter Kit for IBM BigInsights v 4.0 This document describes how to create a Hadoop environment utilizing IBM® Open Platform with Apache Hadoop and an EMC® Isilon® scale-out network-attached storage (NAS) for HDFS accessible shared storage. Isilon cluster, you can configure a SmartConnect DNS zone which is a fully qualified domain name (FQDN). Isilon-backed HDFS with separate compute-only virtualized Hadoop nodes. Hadoop's 3X protection scheme can result in 25% overall usage with additional overhead. During the VMworld EMEA presentation (Tuesday October 14, 2014) , the question around performance was asked again with regards to using Isilon as the data warehouse layer and what positives and negatives are associated with leveraging Isilon as that HDFS layer. For the latest information about Hadoop distributions that OneFS. ; Hadoop architecture Hadoop consists of a compute layer and a storage layer. Due to modern networking technologies, the often referenced disks locality is irrelevant for Hadoop on Isilon. The protocol essentially operates in between the flagship Isilon cluster and the Hadoop compute cluster for maximum performance – thereby connecting and authorizing data access over the Isilon cluster. Th… As the tests were repeated, it was possible for us to begin to understand the impact of the different configuration settings that can be made within the YARN and MapReduce config files in relation to the size of the worker nodes. Traditional Hadoop clusters without virtualization. I encourage you to take time and investigate how to leverage Isilon storage arrays to take advantage of the HDFS protocol and determine for yourself if it makes sense in your environment. Virtualized Hadoop + Isilon HDFS Benchmark Testing. An Isilon cluster fosters data analytics without ingesting data into an HDFS file system. The profiles of the accounts, including UIDs and GIDS, on the Isilon and Hadoop I've been testing an Isilon in the lab (you might catch on that I like scale out storage architectures and IP based storage). Using Isilon storage with Hadoop instead of a traditional DAS configuration makes the entire Hadoop environment easier and faster to deploy, reliable, and in some cases, a lower TCO than DAS. For more details, see the Hadoop Performance with Isilon presentation which covers NameNode Benchmark results showing Isilon with 37% better NNBench (NameNode Bench) performance over tradition DAS Hadoop implementations. The Hadoop distributed file system (HDFS) is supported as a protocol, which is used by Hadoop compute clients to access data on the HDFS storage layer. The EMC Isilon Scale-out Data Lake is an EDLP based on the OneFS distributed file system. Note: This topic is part of the Using Hadoop with OneFS - Isilon Info Hub.. Introduction. TUNING ONEFS FOR HDFS OPERATIONS This section describes strategies and options for tuning an Isilon cluster to improve performance for Hadoop data sets, workflows, and workloads. OneFS must be able to look up a local Hadoop user or group by name. We did a series of performance benchmarking tests on an Isilon X410 cluster using the YCSB benchmarking suite and CDH 5.10. Isilon performance issues can often be caused by network issues. If you have multiple Hadoop workflows that require separate sets of data, you can create multiple access zones and configure a unique HDFS root directory for each zone. Isilon OneFS provides access to its data using a HDFS protocol. This paper describes the best practices for setting up and managing the HDFS service on an EMC Isilon cluster to optimize data storage for Hadoop analytics. OneFS supports many distributions of the Hadoop Distributed File System (HDFS). Hadoop overview Hadoop is an open-source platform that runs analytics on large sets of data across a distributed file system. Wrap-up Grafana dashboards can help with daily reviewing and monitoring of your Isilon cluster. Figure 3: EMC Isilon Hadoop Deployment (decouple storage and compute). Dedupe – applying Isilon’s SmartDedupe can further dedupe data on Isilon, making HDFS storage even more efficient. All we're going to need is a Centos VM with network access to the Isilon System Zone. You’ll speed data analysis and cut costs. EMC Isilon hardware platforms are built on the innovative Isilon scale-out storage architecture—designed for simplicity, value, outstanding performance, and unmatched reliability. For more information about access zones, refer to the Isilon cluster. OneFS supports, see the Isilon’s architecture minimizes bottlenecks, rapidly serves petabyte scale data sets, and optimizes performance for Hadoop analytics. EMC Isilon scale-out NAS, now integrated with the Hadoop Distributed File System (HDFS) protocol, provides customers with a solution for accelerating enterprise-wide deployment of Apache-based Hadoop. For Hadoop analytics, the Isilon scale-out distributed architecture minimizes bottlenecks, rapidly serves big data, and optimizes performance for MapReduce jobs. Read Blog. In addition, Isilon supports HDFS as a protocol allowing Hadoop analytics to be performed on files resident on the storage. Cloudera VS Apache VS MapR VS Hortonworks: Which Hadoop … [[email protected] ~]# time hadoop jar /opt/cloudera/parcels/CDH/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar teragen 1000000000 /hadoop/teragen/cloudera/30task-100GB. The user accounts that you need and the associated owner and group settings vary by distribution, requirements, and security policies. The Hadoop cluster maintains a different block size that determines how a Hadoop compute client writes a block of file data to the Isilon cluster. During the VMworld EMEA presentation (Tuesday October 14, 2014) , the question around performance was asked again with regards to using Isilon as the data warehouse layer and what positives and negatives are associated with leveraging Isilon as that HDFS layer. QATS is a product integration certification program designed to rigorously test Software, File System, Next-Gen Hardware and Containers with Hortonworks Data Platform (HDP) and Cloudera’s Enterprise Data Hub(CDH). Hadoop Summit 513 views. You can create a virtual HDFS rack of nodes on your Isilon cluster to optimize performance and reduce latency when accessing HDFS data. Hadoop is an open-source platform that runs analytics on large sets of data across a distributed file system. Note: This topic is part of the Using Hadoop with OneFS - Isilon Info Hub. Cloudera’s new streamlined Quality Assurance Test Suite (QATS) certification process is designed to validate HDP and CDH on a variety of Cloud, Storage & Compute Platforms. Virtualized Hadoop Performance with VMware vSphere 5.1 (2013) A Benchmarking Case Study of Virtualized Hadoop Performance on vSphere 5 (2011) The Transaction Processing Council – TPCx-HS Benchmark Results (Cloudera on VMware performance, submitted by Dell) ESG Lab Review: VCE vBlock Systems with EMC Isilon for Enterprise Hadoop However, there are some things that I’ve learned over the last year and a half that are applicable on a broad scale that can show the advantages to leveraging Isilon as the HDFS layer, especially when you have very large data sets (10+ Petabytes). Head of Dell EMC Consulting’s Big Data Solution Engineering, Sudesh Supra, discusses common challenges organizations face with data lakes and Hadoop, how to avoid those challenges with data engineering and Hadoop on Isilon, and how Dell EMC Consulting helps organizations implement and optimize their environments to drive powerful new insights from their data. A Hadoop implementation with Virtualized HDFS data-only cluster (in lieu of Isilon-backed HDFS) and separate compute-only virtualized Hadoop nodes. Isilon Hadoop Tiered Storage with Dell EMC Isilon and Dell EMC ECS Clusters . Installation . That’s a pretty decent number for writes on 3*23 Disks protected with FEC on a distributed files system. Multiple applications and workflows within an organization can benefit from scale-out storage by no longer requiring DAS-based Hadoop clusters for their own purposes. EMC Isilon hardware platforms are built on the innovative Isilon scale-out storage architecture—designed for simplicity, value, outstanding performance, and unmatched reliability. As depicted in Figure 3, Dell EMC Isilon OneFS provides a scale-out network-attached storage (NAS) platform which is independent from the Hadoop cluster and could therefore scale independently. Isilon cluster handles connection requests from clients. Specifically, the next test cases are three fold using the same physical hardware that we are deploying in our production private cloud environment and the same dataset used in the above tests: I am of the opinion completing the above tests and comparing the results will help us determine what strategy is best and provide us with a firm understanding of all the advantages and disadvantages to any of the IaaS solutions for Hadoop. HSK walks you through acquiring all of the needed software and license components and subsequent configuration steps for deployment of Big Data Extensions, HDFS, and Hadoop clusters. Isilonscale-out distributed architecture minimizes bottlenecks, rapidly serves Big Data, and optimizes performance. Enabling account does not make this account interactive logon aware they are still just ID’s used by Isilon for HDFS ID management. Data can be stored using one protocol and accessed using another protocol. Dell EMC ECS is a leading-edge distributed object store that supports Hadoop storage using the S3 interface and is a good fit for enterprises looking for either on-prem or cloud-based object storage for Hadoop. When you set up directories and files under the root directory, make sure that they have the correct permissions so that Hadoop clients and applications can access them. Isilon's operating system dedicates a smaller portion of the overall capacity to redundancy (depending on the parity scheme used and the width of the Isilon cluster). OneFS Web Administration Guide for your version of Installation will follow the following high level plan. Isilon cluster, This is a reference guide to the OneFS API. For information on Isilon's WORM and SmartLock functionality, refer to … Performance; virtualization has some cost to … Figure 3: EMC Isilon Hadoop Deployment (decouple storage and compute). [hduser1@hadoop-master-0 ~]$ hadoop jar touch.jar /smartlocktest1/file2 [hduser1@hadoop-master-0 ~]$ hadoop fs -chmod a-w /smartlocktest1/file2 The file is now read-only for the next 5 minutes. Isilon For existing Isilon and Vsphere customers, HSK aims to automate the deployment of virtualized Hadoop clusters using native HDFS integration with Isilon. The latest version of the create_users script on the isilon_hadoop_tools github will now create enabled users by default. In a Hadoop implementation on an EMC Isilon cluster, OneFS acts as the distributed file system and HDFS is supported as a native protocol. For Hadoop analytics, Isilon’s architecture minimizes bottlenecks, rapidly serves petabyte scale data sets and optimizes performance. This report also called out Isilon’s scalable capacity, performance, easy-to-deploy clustered storage appliance approach and feature sets. Unlike NFS mounts or SMB shares, clients connecting to the cluster through HDFS cannot be given access to individual folders within the root directory. If directory services are available, a local user account or user group is not required. You’ll speed data analysis and cut costs. Deep dive into HDFS Tiering with Dell EMC Isilon for Hadoop/Big Data. 42:17. The QATS program is Cloudera’s highest certification level, with rigorous testing across the full breadth of HDP and CDH services. Installation . This white paper shows that storing data in EMC Isilon scale-out NAS optimizes data management for Hadoop analytics. The default HDFS directory is You must configure one HDFS root directory in each All we're going to need is a Centos VM with network access to the Isilon System Zone. Virtualized Hadoop Performance with VMware vSphere 5.1 (2013) A Benchmarking Case Study of Virtualized Hadoop Performance on vSphere 5 (2011) The Transaction Processing Council – TPCx-HS Benchmark Results (Cloudera on VMware performance, submitted by Dell) ESG Lab Review: VCE vBlock Systems with EMC Isilon for Enterprise Hadoop All rights reserved. Isilon scale-out distributed architecture minimizes bottlenecks, rapidly serves Big Data, and optimizes performance. When you use Hadoop with EMC Isilon network-attached storage, there is no need for data ingestion. Isilon This chapter provides information about how the Hadoop Distributed File System (HDFS) can be implemented with Also incldues TPCDS Performance comparisons between Direct Attached Storage and Isilon Scale-out NAS Gen5 and Gen 6 models. HDP 3.1 QATS CERTIFICATION OF DELL EMC ISILON; Using OneFS ACLs and Hadoop; Isilon Telemetry for the Hadoop Admin; DFSIO testing with Isilon F800; Simple LLAP on Isilon demo; HBase Performance Testing on Isilon; The Isilon Permission Model - Some thoughts on adding HDFS into the mix; RFC2307 attributes and newer versions of Windows Server Isilon cluster by connecting to any node over the HDFS protocol, and all nodes that are configured for HDFS provide NameNode and DataNode functionality as shown in the following illustration. BLOCK SIZES On an Isilon cluster, raising the HDFS block size from the default of 64 MB to 128 MB optimizes performance for most use cases. Copyright ©2019 Virtual Elephant. Figure 1. shows the reference architecture of Hadoop tiered storage with an Isilon or ECS system. There are two benchmarking tests I want to focus on for this post. The key building blocks for Isilon include the OneFS operating system, the NAS architecture, the scale-out data lakes, and other enterprise features. Run Big Data analytics in place -- you won’t have to move data to a dedicated Hadoop infrastructure. Instead of storing data within a Hadoop distributed file system, the storage layer functionality is fulfilled by, The compute layer is established on a Hadoop compute cluster that is separate from the, Instead of a storage layer, HDFS is implemented on, In addition to HDFS, clients from the Hadoop compute cluster can connect to the, Hadoop compute clients can connect to any node on the, Associate each IP address pool on the cluster with an access zone. If you are interested in learning more about the above tests and environment that was used to run them, there will be a white paper coming out from EMC soon and I will make that available when it is published. Our platform offerings include flexible product lines that can be combined in a single file system and volume, providing application consolidation tailored for your specific business needs. Virtual HDFS racks allow you to fine-tune client connectivity by directing Hadoop compute clients to go … Failures are common in today’s data center environments and can significantly impact the performance of important jobs running on top of large scale computing frameworks like Hadoop. ; Hadoop implementation with OneFS In a Hadoop implementation on the EMC Isilon cluster, data is stored on OneFS. EMC Isilon Hadoop Deployment Each node boosts performance and expands the cluster's capacity. Additionally, ensure that the user accounts that your Hadoop distribution requires are configured on the Hadoop is an open-source platform that runs analytics on large sets of data across a distributed file system. The compute nodes are four nodes with an E5-2620 each all in one 2U chassis and I’ve deployed 16 VMs as Hadoop worker nodes. The latest version of Isilon's OneFS operating system, v7.1.1, doubles the performance of this scale-out filer platform. May 2018 The information in … The speed of the local storage, however, can slow down the performance of Hadoop tasks. Dell EMC ECS is a leading-edge distributed object store that supports Hadoop storage using the S3 interface and is a good fit for enterprises looking for either on-prem or cloud-based object storage for Hadoop. Our platform offerings include flexible product lines that can be combined in a single file system and volume, providing application consolidation tailored for your specific business needs. Dell EMC Isilon & ECS are getting QATS Certified, what does that mean for you? EMC says it brings Hadoop to customers' Big Data (called a Data Lake) rather than the opposite – moving petabytes of data which takes time. 9 . OneFS. EMC Isilon received the highest overall score among nine companies rated by Gartner in its January 2015 "Critical Capabilities for Scale-Out File System Storage" report. Cloudera VS Apache VS MapR VS Hortonworks: Which Hadoop … Creation of a role and user on Isilon to read the statistics. Isilon OneFS natively implements erasure coding improving storage efficiency by 3x over legacy direct attached storage Hadoop deployments. Isilon significantly improves name-node and data-node resiliency and performance while rapidly serving petabyte scale data sets. If however you are interested in things like NN atomic operations and Isilon Cache performance then let's get started! Run Big Data analytics in place -- you won’t have to move data to a dedicated Hadoop infrastructure. Dell EMC Isilon and Cloudera Reference Architecture and Performance Results Abstract This document is a high-level design, performance results, and best-practices guide for deploying Cloudera Enterprise Distribution on bare-metal infrastructure with Dell EMC’s Isilon scale-out NAS solution as a shared storage backend. About Hadoop. Hadoop compute clients can connect to the cluster through the SmartConnect DNS zone name, and SmartConnect evenly distributes NameNode requests across IP addresses and nodes in the pool. When a Hadoop compute client makes an initial DNS request to connect to the SmartConnect zone, the Hadoop client is routed to the IP address of an, If you specify a SmartConnect DNS zone that you want Hadoop compute clients to connect though, you must add a Name Server (NS) record as a delegated domain to the authoritative DNS zone that contains the, On the Hadoop compute cluster, you must set the value of the. Introduction to this guide. 42:17. For each IP address pool on the Organizations can seamlessly scale out capacity and performance, as needed, to prevent bottlenecks and improve overall storage performance. HOW HADOOP WORKS WITH ISILON SCALE-OUT NAS Published on December 9, 2015 December 9, 2015 • 19 Likes • 1 Comments However, when you, for example, have to find the cause of an unobvious performance issue you now have two more places to look at - virtualization and Isilon - and worse the interactions between all these technologies with the Hadoop ecosystem. OneFS differs from a typical Hadoop implementation in the following ways: You can run most common Hadoop distributions with the As you can see, there are some improvements you would expect to see and there are areas (64 nodes vs 128 nodes) where additional investigation is required. Hadoop – with HDFS on Isilon, we dedupe storage requirements by removing the 3X mirror on standard HDFS deployments because Isilon is 80% efficient at protecting and storing data. Virtualized Hadoop + Isilon HDFS Benchmark Testing. Hadoop Distributions and Products Supported by OneFS page on the The VMDKs for each Hadoop worker node was attached to the same SAN device providing the boot LUNs. OneFS. The only two parameters that were modified between each test run was the size of the Hadoop cluster (worker count) and the size of each worker node. Isilon cluster on a per-zone basis. The default block size is 128 MB. How an Hadoop on Isilon Dell EMC’s Isilon Scale Out Network Attached Storage (NAS) makes the process of building data lakes much easier and offers many features that help organizations reduce maintenance and storage costs by keeping all of their data, including structured, semi-structured and unstructured data, in one place and file system. Data Analytics. Isilon OneFS provides complete name-node and data-node redundancy as each node in an Isilon cluster acts as a active name-node and data-node, there is no need to configure a local name-node or standby name-node when using Isilon as the HDFS store for Hadoop. The tests were ran against four different cluster configurations, limited to the same amount of physical hardware resources to show the differences between the cluster and node sizes. EMC ISILON HADOOP STARTER KIT FOR IBM BIGINSIGHTS 6 EMC Isilon Hadoop Starter Kit for IBM BigInsights v 4.0 This document describes how to create a Hadoop environment utilizing IBM® Open Platform with Apache Hadoop and an EMC® Isilon® scale-out network-attached storage (NAS) for HDFS accessible shared storage. OneFS CLI Administration Guide or The Hadoop compute and HDFS storage layers are on separate clusters instead of the same cluster. Certification of Isilon via Cloudera QATS Program First of all, which do you consider that are the best practices of the architecture of a cluster comparing Isilon HDFS with CDH HDFS at the moment? For Hadoop analytics, Isilon’s architecture minimizes bottlenecks, rapidly serves petabyte scale data sets and optimizes performance. Isilon, with its native HDFS integration, simple low cost storage design and fundamental scale out architecture is the clear product of choice for Big Data Hadoop environments. Increasing the block size enables the Isilon cluster nodes to read and write HDFS data in larger blocks and optimize performance for most use cases. During the VMworld EMEA presentation (Tuesday October 14, 2014) , the question around performance was asked again with regards to using Isilon as the data warehouse layer and what positives and negatives are associated with leveraging Isilon as that HDFS layer. When you use Hadoop with EMC Isilon network-attached storage, there is no need for data ingestion. Separating data from HDFS clients and stor… Solution Guide . As depicted in Figure 3, Dell EMC Isilon OneFS provides a scale-out network-attached storage (NAS) platform which is independent from the Hadoop cluster and could therefore scale independently. Hadoop compute clients can connect to any node on the Isilon cluster that functions as a NameNode instead of being routed by a single NameNode. You can run most of the common Hadoop distributions with the EMC Isilon cluster. Introduction to the OneFS API. Isilon Community Network. Let’s take a closer look at some of the key advantages of running Hadoop on Isilon: 1. If however you are interested in things like NN atomic operations and Isilon Cache performance then let's get started! This guide describes how you can use the Isilon OneFS Web administration interface (Web UI) and command-line interface (CLI) to configure and manage your Isilon and Hadoop clusters. De-coupling the Hadoop compute and storage layer may lead you to believe there is a performance hit. It has been working great and the performance is pretty good for a 5 node system with NFS. Creation of a role and user on Isilon to read the statistics. When a Hadoop compute client connects to the cluster, the user can access all files and sub-directories in the specified root directory. For more information on SmartConnect, refer to the The latest version of the create_users script on the isilon_hadoop_tools github will now create enabled users by default. Learn about Dell Technologies data analytics solutions, ranging from batch processing to real-time data streaming. Before implementing Hadoop, ensure that the user and groups accounts that you will need to connect over HDFS are configured on the Isilon OneFS provides access to its data using a HDFS protocol. After you activate an Isilon Hadoop license, the cluster tries to automatically detect a client's Hadoop distribution. Isilon cluster. You can configure a SmartConnect DNS zone to manage connections from Hadoop compute clients. For each of these tests, we ran the virtualized Hadoop clusters on the very same x86 hardware, shared storage and Isilon arrays. Dell EMC Isilon: Gartner’s highest-ranked NAS system Dell EMC Isilon is the industry’s No. Powered by WordPress & Designed by Cyclone Themes, Virtualized Hadoop + Isilon HDFS Benchmark Testing, VCP5: Creating an iSCSI lab environment for vSphere, Certified Kubernetes Administrator Exam Review, Automated Kubernetes Deployment with Ansible, Kubernetes with Cilium – Ansible Playbook, 32 Cisco UCSB-B200-M3 Blade servers (Dual E5-2680v2 CPU, 128GB RAM), 32-node Hadoop cluster: 8 vCPU, 58GB RAM per node, 64-node Hadoop cluster: 4 vCPU, 29GB RAM per node, 128-node Hadoop cluster: 2 vCPU, 14.5GB RAM per node, 256-node Hadoop cluster: 1 vCPU, 7.25GB RAM per node.

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