Distributed and Cloud Computing

Transcription

1 Distributed and Cloud Computing K. Hwang, G. Fox and J. Dongarra Chapter 9: Ubiquitous Clouds and The Internet of Things (suggested for use in 5 lectures in 250 minutes) Prepared by Kai Hwang University of Southern California April 5, IoT Telemedicine Applications: Patient Data Transferred Using a Wireless Sensor Network. (Courtesy of Inftech, 2007) 9-2 1

2 ZigBee Applications (Wireless Home-Area Networks, WHAN) security HVAC AMR lighting control access control BUILDING AUTOMATION CONSUMER ELECTRONICS TV VCR DVD/CD remote patient monitoring fitness monitoring PERSONAL HEALTH CARE ZigBee Wireless Control that Simply Works PC & PERIPHERALS mouse keyboard joystick asset mgt process control environmental energy mgt RESIDENTIAL/ LIGHT INDUSTRIAL COMMERCIAL CONTROL CONTROL security security HVAC HVAC lighting lighting control control access access control control lawn lawn & garden & garden irrigation 9-3 Slide 3 Retail and logistics : How RFID Works in Business Sales? 9-4 2

3 Smart Building Using IOT Technology 9-5 Smart Power Grid 9-6 3

4 Current Research Challenges: Multi-core-CPU and many-core GPU and beyond : Heterogeneous (asymmetric) chip multiprocssors Virtualization support for cloud computing over distributed and automated datacenters Cloud security, data integrity, privacy and copyright protection, and trust management in clouds and future Internet Advances in RFID tracking, sensor networks, and GPS technologies to build the Internet of things Ubiquitous cloud computing and social networking using the clouds in the age of Internet of things 9-7 Example 1: Game Cloud built at USC GamePipe Lab, No.1 Game program among 10 in the USA (Courtesy of Zhao, Hwang, and Villeta, Feb [7]) 9-8 4

5 Reduction of Gaming Latency and Improvement of the QoS and QoE (Frame Rate) on The Game Cloud at USC GamePipe Lab Example 2: MapReduce Skyline Composition of Web Services in Inter-Cloud Applications (Courtesy of L. Chen, K. Hwang, and J. Wu, Jan [6])

6 Reduction of Web Service Composition Time from 929 ms to 220 ms using fewer Skyline representatives 9-11 Example 3: Internet of Things: Sensor Grids A pleasingly parallel example on Clouds A sensor ( Thing ) is any source or sink of time series In the thin client era, smart phones, Kindles, tablets, Kinects, web-cams are sensors Robots, distributed instruments such as environmental measures are sensors Web pages, Googledocs, Office 365, WebEx are sensors Ubiquitous Cities/Homes are full of sensors They have IP address on Internet Sensors being intrinsically distributed are Grids However natural implementation uses clouds to consolidate and control and collaborate with sensors Sensors are typically small and have pleasingly parallel cloud implementations (Courtesy of Geoffrey Fox, 2012)

7 Sensors as a Service (SaaS) Output Sensor Sensors as a Service A larger sensor Sensor Processing as a Service (MapReduce) (Courtesy of Geoffrey Fox, 2012) 9-13 Mobility Support and Security Measures for Mobile Cloud Computing Cloud Service Models Mobility Support and Data Protection Methods Hardware and Software Measures for Cloud Security Infrastructure Cloud (The IaaS Model) Platform Cloud (The PaaS Model) Special air interfaces Mobile API design File/Log access control Data coloring Wireless PKI, User authentication, Copyright protection Disaster recovery Hardware/software root of trust, Provisioning of virtual machines, Software watermarking Host-based firewalls and IDS Network-based firewalls and IDS Trust overlay network Reputation system OS patch management

8 Cloudlets- A trusted, VM-based, and Resource-Rich Portal for Upgrading Mobile Devices with Cognitive Abilities for Mobile access of the cloud to explore Location- Aware Cloud Applications such as : Opportunity Discovery, Fast Information Processing, and Intelligent Decision Making on The Road, etc. (Courtesy of SAtyanarayanan, et al. The Case of VM-based Cloudlets in Mobile Computing, IEEE Pervasive Computing, Vol.8, No. 4, April 2009) 9-15 Cloudlet Makes It Possible for Mobile Devices to Access the internet Easily for Obtaining Mobile and Cost-Effective Computing Services Both mobile devices and centralized clouds or datacenters are limited in their own ways. Handsets are limited by resource proverty, etc while the distance cloud has the WAN latency and collision issues with too many clients login, simulteneously. Widely deployed Cloudlets enable distributed cloud computing and handling at convenient stores, class rooms, or anyone while on the move

9 Fast VM synthesis (in less than 100 sec on the Kimberlaey prototype at CMU) makes it possible to build VM overlay in transient cloudlets, that is customized to bind cloud resources in distance to satisfy the user need. Trust and security issues are major factors in Cloudlet deployment. (Courtesy of SAtyanarayanan, et al. 2009)