Optimized in-memory IBOR architecture in a cloud environment Using - PowerPoint PPT Presentation

Jun 27, 2023 •667 likes •783 views

Optimized in-memory IBOR architecture in a cloud environment Using Apache Ignite Rafique Awan VP, Wellington Management One Size Doesnt Fit All? Monolithic Purpose-built Database Driven Use Case Driven Design Design Waterfall DevOps

Optimized in-memory IBOR architecture in a cloud environment Using Apache Ignite Rafique Awan VP, Wellington Management
One Size Doesn’t Fit All? Monolithic Purpose-built Database Driven Use Case Driven Design Design Waterfall DevOps 2
A one size fits all database doesn’t fit anyone. Amazon CTO
Investment Book of Record(IBOR) Portfolio Trading systems management Accounting system IBOR Risk management Regulatory & Other back office Compliance 4
Optimized IBOR Architecture Event Processor 1 Data Processor 1 IBOR Services 1 IBOR Services 2 Event Processor 2 Data Processor 2 5
Event Processor – Service Grid Event Processor 1 Trading Highly Available (AWS AZ 1) Accounting Prices Highly Scalable Other Analytics Event Processor 2 Cluster & Node Singleton (AWS AZ2) 6
Data Processor – Data Grid IBOR Data Write-Through (AWS AZ1) ACID Compliant Oracle IBOR Data Replicated (AWS AZ2) 7
IBOR Services – Compute Grid IBOR Services 1 Batch & non-tier 1 Co-location Clients (AWS AZ1) Load Balancing IBOR Services 2 SQL Support Tier 1 Clients (AWS AZ2) 8
IBOR – DISASTER RECOVERY (DR) IBOR Primary Oracle(Region1) IBOR DR Instance 1 Instance 1 Replication DB IBOR Primary IBOR DR Instance 2 Instance 2 Oracle(Region2) 9
CONCLUSION Replicated Caches & Highly Available Cluster Singleton Optimized Node Singleton IBOR Highly Scalable Services Architecture Across Regions Highly Recoverable Recovery 10
We are hiring!

Recommend

ISDA IBOR Fallbacks July 2018 IBOR Fallbacks: Background Per the request of the FSB OSSG in

ISDA IBOR Fallbacks July 2018 IBOR Fallbacks: Background Per the request of the FSB OSSG in 2016, ISDA will amend the 2006 ISDA Definitions to implement fallbacks for: LIBOR in USD, GBP, JPY, CHF and EUR; EURIBOR, JPY TIBOR, Euroyen TIBOR,

317 views • 6 slides

Managing Dynamic Memory Allocations in a Cloud through Golondrina 4th International DMTF Academic

Introduction Architecture Memory Stress Detection and Resolution Prototype Implementation and Experimental Results Conclusion Managing Dynamic Memory Allocations in a Cloud through Golondrina 4th International DMTF Academic Alliance Workshop

349 views • 30 slides

Memory: C and x86 assembly 1 Loop Refresher mem ops Optimized or sum: .LFB2: .loc 1 2 0

Memory: C and x86 assembly 1 Loop Refresher mem ops Optimized or sum: .LFB2: .loc 1 2 0 unoptimized? .LVL0: .loc 1 4 0 eax == s 0 movl $0, %eax .LVL1: ??? 0 int sum(int count) testl %edi, %edi ??? 0 { int s = 0; jle

588 views • 16 slides

Architecture Caches Main memory Interconnect system System/Memory bus I/O

Calcolatori Elettronici e Sistemi Operativi System architecture CPU(s) Memory hierarchy Architecture Caches Main memory Interconnect system System/Memory bus I/O busses ata, eisa, i2c, ide, pci, pcmcia, scsi, spi,

653 views • 21 slides

IBM SOLIDDB In-Memory Database Optimized for Extreme Speed and Availability Authors: Jan

IBM SOLIDDB In-Memory Database Optimized for Extreme Speed and Availability Authors: Jan Lindstrom, Vilho Raatikka, Jarmo Ruuth, Petri Soini, Katriina Vakkila Course Instructor: Stan Zdonik Presenter: Lixiang (Gavin) Zhang Outline:

342 views • 13 slides

Better than Brute-Force Optimized Hardware Architecture for Effcient Biclique Attacks on AES-128

Better than Brute-Force Optimized Hardware Architecture for Effcient Biclique Attacks on AES-128 Andrey Bogdanov*, Elif Bilge Kavun**, Christof Paar**, Christian Rechberger***, Tolga Yalcin** * KU Leuven, Belgium, ** HGI-RUB, Germany, ***

467 views • 22 slides

Green Cloud Sustainable Open Source Cloud Architecture on ARM64 @KurtStam, PhD Red Hat

Green Cloud Sustainable Open Source Cloud Architecture on ARM64 @KurtStam, PhD Red Hat Middleware Engineering Saturn 2018 Kubernetes on RaspberryPi Low Power ARM64 Cloud 1. Run your cloud infrastructure on ARM64: Docker and

212 views • 17 slides

Binary Access Memory: An Optimized Lookup Table for Successive Approximation Applications

Binary Access Memory: An Optimized Lookup Table for Successive Approximation Applications Benjamin Hershberg*, Skyler Weaver*, Seiji Takeuchi, Koichi Hamashita , Un -Ku Moon* *School of Electrical Engineering and Computer Science, Oregon

997 views • 41 slides

LiDAR Performance Requirements and Optimized Sensor Positioning for Point Cloud-based Risk

Faculty of Transportation and Traffic Sciences Friedrich List, Chair of Air Transport Technology and Logistics LiDAR Performance Requirements and Optimized Sensor Positioning for Point Cloud-based Risk Mitigation at Airport Aprons A novel

452 views • 18 slides

Memory-Optimized Distributed Graph Processing through Novel Compression Techniques Katia

Memory-Optimized Distributed Graph Processing through Novel Compression Techniques Katia Papakonstantinopoulou Joint work with Panagiotis Liakos and Alex Delis University of Athens Athens Colloquium in Algorithms and Complexity UoA, August 26

772 views • 19 slides

Memory Prefetching Nima Honarmand Spring 2016 :: CSE 502 Computer Architecture The memory

Spring 2016 :: CSE 502 Computer Architecture Memory Prefetching Nima Honarmand Spring 2016 :: CSE 502 Computer Architecture The memory wall 10000 Performance 1000 Processor 100 10 Memory 1 1985 1990 1995 2000 2005 2010

312 views • 29 slides

Scavenger: Automating the Construction of Application-Optimized Memory Hierarchies Hsin-Jung Yang

Scavenger: Automating the Construction of Application-Optimized Memory Hierarchies Hsin-Jung Yang , Kermin E. Fleming , Michael Adler , Felix Winterstein , and Joel Emer * Massachusetts Institute of Technology, Intel

459 views • 21 slides

Web Cloud Architecture Software Architecture Jay Urbain, Ph.D. urbain@msoe.edu Credits:

Web Cloud Architecture Software Architecture Jay Urbain, Ph.D. urbain@msoe.edu Credits: Ganesh Prasad, Rajat Taneja, Vikrant Todankar, How to Build Application Front-ends in a Service-Oriented World Darrly Nelson, Next Gen Web

730 views • 34 slides

Xen Project An overview of the Verizon Cloud Architecture By Don Slutz Design Goals Next

Xen Project An overview of the Verizon Cloud Architecture By Don Slutz Design Goals Next Generation Cloud (start from scratch) Minimal people to support cloud Big ( i.e. fully scalable) Quality of Service Reliability Run

581 views • 14 slides

Cryptography Seny Kamara Cryptography Group Microsoft Research Outline Cloud Architecture

Cloud Cryptography Seny Kamara Cryptography Group Microsoft Research Outline Cloud Architecture What is cloud computing? o Cloud Ecosystem Who provides and who consumes cloud services? o Cloud Cryptography What are the security

637 views • 34 slides

Response Time-Optimized Distributed Cloud Resource Allocation Matthias Keller Holger Karl

Response Time-Optimized Distributed Cloud Resource Allocation Matthias Keller Holger Karl Computer Networks Group Universitt Paderborn Minimizing response times Latency-critical service Interactive, emergency service request t

323 views • 28 slides

ERMIA: Fast Memory-Optimized Database System for Heterogeneous Workloads Kangnyeon Kim Tianzheng

ERMIA: Fast Memory-Optimized Database System for Heterogeneous Workloads Kangnyeon Kim Tianzheng Wang Ryan Johnson Ippokratis Pandis Heterogeneous is the new OLTP Convenient/traditional Emerging workloads W W R W R RR W R R R RR RRRR

340 views • 15 slides

In-Place Activated BatchNorm for Memory- Optimized Training of DNNs Samuel Rota Bul, Lorenzo

In-Place Activated BatchNorm for Memory- Optimized Training of DNNs Samuel Rota Bul, Lorenzo Porzi, Peter Kontschieder Mapillary Research Paper: https://arxiv.org/abs/1712.02616 Code: https://github.com/mapillary/inplace_abn CSC2548, 2018

579 views • 40 slides

von Neumann von Neumann vs. Harvard von Neumann Same memory holds data, instructions.

Computer Architecture Microprocessor Architecture in a nutshell Alternative approaches Separation of CPU and memory distinguishes programmable computer. Two opposite examples CPU fetches instructions from memory. SHARC

343 views • 7 slides

Memory Prefetching Instructor: Nima Honarmand Spring 2015 :: CSE 502 Computer Architecture

Spring 2015 :: CSE 502 Computer Architecture Memory Prefetching Instructor: Nima Honarmand Spring 2015 :: CSE 502 Computer Architecture The memory wall 10000 Performance 1000 Processor 100 10 Memory 1 1985 1990 1995 2000 2005

337 views • 30 slides

NordicWay Architecture Anders Fagerholt NordicWay architecture Swedish TMC Ericsson Traffic

NordicWay Architecture Anders Fagerholt NordicWay architecture Swedish TMC Ericsson Traffic cloud Traffic cloud Sweden Sweden Norway Traffic cloud Finish TMC Traffic cloud Denmark Finland Finland DATEX II NordicWay Interchange Node

258 views • 6 slides

CSE 502: Computer Architecture Memory Hierarchy & Caches Motivation 10000 Performance

CSE 502: Computer Architecture Memory Hierarchy & Caches Motivation 10000 Performance 1000 Processor 100 10 Memory 1 1985 1990 1995 2000 2005 2010 Want memory to appear: As fast as CPU As large as required by all of

587 views • 39 slides

NVIDIA GPUs in the Cloud 4 EVOLVING CLOUD REQUIREMENTS On Off Hybrid Cloud premises premises

NVIDIA GPUs in the Cloud 4 EVOLVING CLOUD REQUIREMENTS On Off Hybrid Cloud premises premises Connecting clouds New workloads Components to disrupt SOFTLAYER CAPABILITIES OVERVIEW 5 GLOBAL CLOUD PLATFORM Unified architecture enabled by

390 views • 17 slides

COMP 590-154: Computer Architecture Shared-Memory Multi-Processors Shared-Memory Multiprocessors

COMP 590-154: Computer Architecture Shared-Memory Multi-Processors Shared-Memory Multiprocessors Multiple threads use shared memory (address space) SysV Shared Memory or Threads in software Communication implicit via loads

548 views • 40 slides