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MIDDLEWARE IMPLEMENTATIONS Sakthi Ramanathan Sivaraman

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Page 1: MIDDLEWARE IMPLEMENTATIONS -   · PDF fileMIDDLEWARE IMPLEMENTATIONS Sakthi)Ramanathan) ... ImplementaBon)in)Oracle)Fusion)Middleware ... infrastructure

MIDDLEWARE  IMPLEMENTATIONS Sakthi  Ramanathan  Sivaraman

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Topics  to  be  discussed o   ApplicaBon  Level  Middleware

-­‐  ImplementaBon  in  IFTTT,  ROS  frameworks

o   Middleware  for  data  &  network  management

-­‐  ImplementaBon  in  Oracle  Fusion  Middleware

o  Device  Level  Middleware -­‐  ImplementaBon  in  openHAB  (eclipse  smarthome)  &  FPGAs

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IoT  Challenges  solved  by  Middleware  Interopera)on:  basic  connecBvity  between  physical  devices  to  higher  layers  Context  detec)on:  Context  data  retrieval  from  sensor  device  data  for  decision  making

 Device  discovery  and  management:  Neighbor  devices  detecBon  in  the  network

 Security  and  privacy:  Basic  necessity  in  industries  like  health,  finance  and  criBcal  infrastructure

 Managing  Large  Data  volume:  Middleware  is  required  to  efficiently  find,  fetch  and  transfer  this  data

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API  Management  –  ApplicaBon  Level  middleware   o   Fundamental  enabler  of  performance  &  scalability  for  the  Internet  of  Things

o   APIs  allow  for  faster  integraBon,  which  allows  to  take  advantage  of  the  mass  proliferaBon  of  “intelligent”  devices

o   Leverage  the  relaBonships  between  connected  device  to  automate  tasks

o   APIs  help  companies  to  realize  true  value  for  the  IoT  by    focusing  on  the  value-­‐added  services  on  data  derived  from  IoT,  by  combining  this  data  with  their  legacy  systems  and  business  assets

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IFTTT  (If  This  Then  That) o   Acts  as  an  intelligence  layer  for  the  internet  of  things. o   Automates  tasks  via  control  and  connecBon  between  devices  or  web  applicaBons,  leveraging  the  context  dependence  between  them.

o   Makes  the  things  “Smarter”,  by  connecBng  them  seamlessly  at  the  applicaBon  level.

o   Can  build  custom  recipes  made  from  “triggers”  (this  in  IFTTT)  and  “acBons”  (that).

o   UI  &  Programming  for  the  future.

h]ps://i_].com/recipes

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ROS  (Robot  OperaBng  System) o   A  collecBon  of  so_ware  libraries  and  tools  for  complex  robot  so_ware  development  (developed  by  Willow  Garage)

o   Provides  hardware  abstracBon,  device  drivers,  libraries,  visualizers,  message-­‐passing,  packet  management,  and  more

o   Completely  open  source  and  reusable  so_ware

o   ROS-­‐Industrial  is  an  open-­‐source  project  that  extends  the  advanced  capabiliBes  of  ROS  to  manufacturing

h]p://wiki.ros.org/

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ROS  (Robot  OperaBng  System) o   CommunicaBon  between  mulBple  machines  to  a  single  master  &  each  other  using  a  stateless  HTTP  based  protocol

o   “Node”  –  an  executable  that  uses  ROS  to  communicate  with  other  nodes

o   “Topics”  –  named  buses  over  which  nodes  exchange  messages  (TCPROS)

o   “Messages”  –  A  simple  datastructure  comprising  typed  fields  (along  with  header  info)

o   CommunicaBon  of  messages  over  topics  happens  between  publisher  (talker)  &  subscriber  (listener)  nodes.

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iRobot  Create    example

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Middleware  for  Data  &  Network  Management  

2 h]p://www.oracle.com/us/soluBons/machine-­‐to-­‐machine/iot-­‐wp-­‐2190408.pdf

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Middleware  for  Data  &  Network  Management  

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o   Real-­‐Bme  Analysis   -­‐  Large  amounts  of  data,  alerts   -­‐  InformaBon  in  different  formats   -­‐  Various  array  of  devices,  sensors  and  other  machines

o   IntegraBon   -­‐  Smooth  orchestraBon  and  manageability  of  disparate  systems   -­‐  Embedding  intelligence  by  way  of  real-­‐Bme  data  gathering  from  gateways  and      devices  through  business  processes o   Security   -­‐  Access  control  and  data  authenBcaBon  with  privacy  of  users  (or  devices)   -­‐  Resilient  to  a]acks  &  with  high  degree  of  reliability   o   Monitoring   -­‐  User  interacBon   -­‐  CriBcal  in  fast  decision  making

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Oracle  Fusion  Middleware 1.  Real-­‐Bme  Analysis

o   Complex  Event  Stream  Processing:  (with  Oracle  event  processing)   -­‐  Processes  data  stream  across  many  disparate  event  sources  or  event  sinks   -­‐  Ability  to  process  1M  events  per  second  

o   Scalability  with  Oracle  Coherence  &  Oracle  Exalogic:   -­‐  handle  storage  of  data  in  memory   -­‐  very  high  throughput  &  low  latency  on  a  single  Oracle  Exalogic  compute  node

o   ConBnuous  Query  Language  (CQL):  (for  conBnuous  query  execuBon)   -­‐  SQL  +  constructs  that  support  streaming  data   -­‐  Local  decision  and  filtering  done  by  Oracle  Event  Processing  for  Java  Embedded

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Oracle  Fusion  Middleware 2.  IntegraBon

o   Oracle  BPM:  (Business  Process  Management)        -­‐  integrates  devices,  applicaBons  and  human  intervenBon        -­‐  coordinates  responses  to  events  received  from  IoT  

o   Oracle  SOA:    (uses  Shared  Services  infrastructure)        -­‐  for  scalability  of  IoT/enterprise  applicaBons.        -­‐  to  correlate  and  make  sense  of  various  event  pa]erns

o   Oracle  Service  Bus:          -­‐  intermediary  layer  between  devices  and  backend  apps.        -­‐  integrates  new  devices  &  services  (true  plug  &  play)        -­‐  provides  a  layer  of  abstracBon  to  virtualize  services        -­‐  supports  HTTP/REST,  HTTP/SOAP,  WS-­‐I  &  JMS

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Oracle  Fusion  Middleware 3.  Security  (using  Oracle  Iden)ty  &  Access  Management  Suite)

o   Oracle  API  Gateway:        -­‐  a  lightweight  interface  between  OAM  &  client  services        -­‐  secures  &  manages  APIs  mediaBng  traffic  to  enterprise  systems

o   Oracle  Access  Manager  (OAM):          -­‐  authenBcates  and  authorizes  a  user,  mobile  device  or  service.          -­‐  a_er  authenBcaBon,  it  returns  an  access  token  back  to  the  app

4.  Monitoring

o   Oracle  DF  Mobile:        -­‐  Helps  build  mobile  apps  to  visualize  sensor  informaBon  and  control  gateways/actuators  remotely          -­‐  Integrates  with  Oracle  IAM  soluBon  to  ensure  authorized  and  authenBcated  access  to  data  &  insights  from  devices  

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Oracle  Fusion  Middleware  SFPark  Architecture

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Intranet  of  Things  –  Device  Level  Middleware  To  get  the  full  control  of  our  devices  and  our  data.  (and  not  give  the  control  to  cloud  services)

 Especially  beneficial  for  smart  home    applicaBons.

Internet  of  Things  representaBon  in  Smart  Homes

Intranet  of  Things  representaBon  in  Smart  Homes

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openHAB  (eclipse  smarthome)  Events:  Commands  &  Status  updates  “item”  abstrac)on:    allows  for  seamless  scalability

 Modeling  level

 Item  Registry:  Keeps  track  of  latest  status  

 Persistence  services:  Takes  events  and  stores  in  database.

 Physical  Bindings:  Translators  to  the  real  world.  -­‐  openHAB  supports  a  long  list  of  devices,  like  KNX,  HomemaBc,  Philips  Hue  and  many  more.

h]p://www.openhab.org/

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openHAB  (eclipse  smarthome) o   openHAB  RunBme   -­‐  a  set  of  OSGi  framework  (a  pure  Java  soluBon)  and  so  needs  a  JVM  to  run   -­‐  highly  modular  architecture,  allowing  plug-­‐play  funcBonality  during  runBme  without      stopping  the  service

o   openHAB  Designer   -­‐  an  Eclipse  RCP  applicaBon  (IDE)  for  configuring  the  openHAB  RunBme  

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FPGAs  for  IoT o   Key  enabler:  Programmable  aspect  of  an  FPGA  

o   real-­‐Bme  visibility  into  operaBons  and  control

o   hardware  based  security  and  isolaBon  mechanisms  that  offer  robust  protecBon  against  various  forms  of  a]ack

o   can  act  as  a  local  IoT  concentrator,  serving  as  a  hub  for  RF  links  ,  managing  link  interfaces  and  exchanging  data  with  these.

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Why  FPGAs? o   Enable  hardware  acceleraBon  of  complex  control  algorithms  with  opBmized  DSP  technology

o   Hardware  update  &  plaoorm  re-­‐configurability  possible  even  a_er  shipping

o   Very  fast  setup  using  exisBng  FPGA  IP  cores  like  Xillybus  (DMA  over  PCIe)

o   Shorter  Bme  to  market  compared  to  ASIC  soluBon  through  re-­‐programmability  and  reduced  risk  

o   Do  not  go  through  the  same  Bme  consuming  physical  design,  design-­‐rule  closure,  tape-­‐out,  and  fabricaBon  processes  that  ASICs  do

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THANK  YOU