Intelligent QoS Grid for Virtualized Workloads
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1 Intelligent Grid for ized Workloads Gaurav Gupta Delivery Head, HiTech Industry Solution Unit Tata Consultancy Services 27 May 2016 SDC India Copyright 2016 Tata Consultancy Services Limited
2 Parallel Primary Random Characteristics of Data Analytics BI Image Processing Multi Media Static Content OLTP BigData NoSQL ECM Cloud IOT ERP Web 2.0 Media Streaming Search HPC Online Gaming Social Networking Sequential R/W Latency Secondary R/O Multiplexed Deduplication Spike Seek ized I/O Data IOPs Backup Mixed Sequential I/O Pattern Capacity Mixed File I/O Compression Secondary I/O blender effect Performance Response time File I/O Access Parallel Block I/O Throughput Storage Communication Database 2 Copyright 2016 Tata Consultancy Services Limited
3 Ecosystem Application Lifecycle & Challenges in Environment Workload1 Railway Reservation Festival Emergency Booking Workload1 Workload2 Performance Interference Workload2 Workload2 Social Media World Wide Event Workload4 Workload3 Challenge Solution 1 Workload3 Workload3 Corporate Portal Quarterly Results Workload4 Workload4 Online Retail Product Promotion / Sale Resource Pool Hypervisor Physical Resource CPU Memory Disk NIC Resource Contention.??? Un-utilized resource Threshold Add more nodes in the cluster? 2 Machine Movement? Compute Network Storage 3 Copyright 2016 Tata Consultancy Services Limited
4 Elastic Controls - Key # of CPU % Memory DMA I/O request size %CPU Pages Exchange Context Switch Concurrence Req1 Compute Node Boundary Layer2 Req2 Req3 Network Layer3 MTU size Max Packet size Max bit rate Network wait time NetIOC Transmission delays Storage Class of Services (CoS) Tag Control Information Prioritization bits (0-7) 802.1P Type of Service (ToS) DSCP (Differential Services Code Point: 0 to 63) IP Precedence (0 7) Disk queue length Disk I/O wait time Seek delay Disk priority % Read-write Rotational delay Prioritization Controls 4 Copyright 2016 Tata Consultancy Services Limited
5 Grid An overview Federated Distributed architecture Allows grouping of virtual resources & s Scales up to cluster limit Compute Intelligent Senses the change in workload behavior Dynamically leases virtual resources to others Implements bandwidth-as-a-service model Network Storage Analytic Takes into account the historical usage Prioritizes resource allocation Physical Resources Physical Node(s) 5 Copyright 2016 Tata Consultancy Services Limited
6 Grid - Building Blocks Domain Extender Discover all virtual stacks in the cluster Allows forming domain for sharing virtual resources Compute Sensor Senses the change in workload behavior Dynamically releases virtual bandwidth to others in the domain Network Storage Regulator Throttles resource bandwidth across nodes based on change in requirement Physical Resources Physical Node(s) 6 Copyright 2016 Tata Consultancy Services Limited
7 Grid Operations Lease Extender Sensor Regulator Sensor Lease Recall Regulator 1 Discovers VMs & 2 3 Tracks resource usage against baseline of each VM 1 Tracks resource usage of the lessor VMs against new baselines Creates Domain Requests Monitor 4 5 Requests Change in tuning 6 2 Requests recall leased bandwidth 3 Adjusts of lease and lessor to original values Borrows resources by rebaseline s in the domain Adjusts the of the lenders & borrower VMs 7 Copyright 2016 Tata Consultancy Services Limited
8 Co-existence of workloads through Grid effect (Indicative) Baseline resources Stretched compute on single node in cluster (Leased with in same node) Stretched compute & storage from multi-node in the cluster (Leased from N2 & N3 nodes) Shrinked compute & stretched storage at multi-node in the cluster (Lease Recalled by N3) Railways reservation Social Media Corporate Portal Emergency Booking Pic and video files sharing during festivals Live streaming of press conference on quarterly results Domain1 N1-2VMs, N2-1VM, N3-1VM Domain2 N1-N5: 1VM each Domain3 N1-N5: 1VM each Online Retail Catalog search and order placement Compute Network Storage 8 Copyright 2016 Tata Consultancy Services Limited
9 Click Q&A to edit Master title style 9
10 Thank You Gaurav Gupta IT Services Business Solutions Consulting
Intelligent QoS Grid for Virtualized Workloads Gaurav Gupta Tata Consultancy Services
Intelligent Grid for ized Workloads Gaurav Gupta Tata Consultancy Services Characteristics of Data Analytics BI Image Processing Multi Media Static Content OLTP BigData NoSQL ECM Cloud IOT ERP Web 2.0
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