CS计算机代考程序代写 concurrency c/c++ finance distributed system chain Java python database file system Introduction to Distributed Systems and Characterisation

Introduction to Distributed Systems and Characterisation
Most concepts are drawn from Chapter 1
Dr. Rajkumar Buyya
Cloud Computing and Distributed Systems (CLOUDS) Laboratory School of Computing and Information Systems
The University of Melbourne, Australia
http://www.buyya.com http://clouds.cis.unimelb.edu.au/~rbuyya/

Presentation Outline
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◼ Introduction
◼ Defining Distributed Systems
◼ Characteristics of Distributed Systems ◼ Example Distributed Systems
◼ Challenges of Distributed Systems
◼ Summary

Introduction
◼ Networks of computers are everywhere! ◼ Mobile phone networks
◼ Corporatenetworks
◼ Factory networks
◼ Campus networks
◼ In-car networks
◼ Internet of Things (IoT)
◼ On board networks in planes and trains
◼ This subject aims:
◼ to cover characteristics of networked/distributed computing systems and applications
◼ to present the main concepts and techniques that have been developed to help in the tasks of designing and implementing systems and applications that are based on networks.
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Defining Distributed Systems
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◼ “A system in which hardware or software components located at networked computers communicate and coordinate their actions only by message passing.” [Coulouris]
◼ “A distributed system is a collection of independent computers that appear to the users of the system as a single computer.” [Tanenbaum]
◼ ExampleDistributedSystems: ◼ Cluster:
◼ “A type of parallel or distributed processing system, which consists of a collection of interconnected stand-alone computers cooperatively working together as a single, integrated computing resource” [Buyya].
◼ Cloud:
◼ “a type of parallel and distributed system consisting of a collection of interconnected and virtualised computers that are dynamically provisioned and presented as one or more unified computing resources based on service-level agreements established through negotiation between the service provider and consumers” [Buyya].

Leslie Lamport’s Definition
◼ “A distributed system is one on which I cannot get any work done because some machine I have never heard of has crashed.“
◼ Leslie Lamport – a famous researcher on timing, message ordering, and clock synchronization in distributed systems.
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Networks vs. Distributed Systems
◼ Networks: A media for interconnecting local and wide area computers and exchange messages based on protocols. Network entities are visible and they are explicitly addressed (IP address).
◼ Distributed System: existence of multiple autonomous computers is transparent
◼ However,
◼ many problems (e.g., openness, reliability) in common, but at different levels.
◼ Networks focuses on packets, routing, etc., whereas distributed systems focus on applications.
◼ Every distributed system relies on services provided by a computer network.
Distributed Systems
Computer Networks
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Reasons for Distributed Systems
◼ Functional Separation:
◼ Existence of computers with different capabilities and purposes:
◼ Clients and Servers
◼ Data collection and data processing
◼ Inherent distribution:
◼ Information:
◼ Differentinformationiscreatedandmaintainedbydifferentpeople(e.g.,Web pages)
◼ People
◼ Computer supported collaborative work (virtual teams, engineering, virtual
surgery)
◼ Retail store and inventory systems for supermarket chains (e.g., Coles, Woolworths)
◼ Power imbalance and load variation:
◼ Distribute computational load among different computers.
◼ Reliability:
◼ Long term preservation and data backup (replication) at different locations.
◼ Economies:
◼ Sharing a printer by many users and reduce the cost of ownership.
◼ Building a supercomputer out of a network of computers.
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Consequences of Distributed Systems
◼ Computers in distributed systems may be on separate continents, in the same building, or the same room. DSs have the following consequences:
◼ Concurrency – each system is autonomous.
◼ Carry out tasks independently
◼ Tasks coordinate their actions by exchanging messages.
◼ Heterogeneity
◼ No global clock
◼ Independent Failures
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Characteristics of Distributed Systems
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◼ Parallel activities
◼ Autonomous components executing concurrent
tasks
◼ Communication via message passing ◼ No shared memory
◼ Resource sharing
◼ Printer, database, other services
◼ No global state
◼ No single process can have knowledge of the
current global state of the system
◼ No global clock
◼ Only limited precision for processes to synchronize their clocks

Goals of Distributed Systems
◼ Connecting Users and Resources ◼ Transparency
◼ Openness
◼ Scalability
◼ Enhanced Availability
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Examples of Distributed Systems
◼ They (DS) are based on familiar and widely used computer networks:
◼ Internet
◼ Intranets, and
◼ Wireless networks
◼ Example DS and its Applications:
◼ Web (and many of its applications like Online bookshop) ◼ Data Centers and Clouds
◼ Wide area storage systems
◼ Banking Systems
◼ User-levelcommunication(Facebook,Zoom)
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Selected application domains and associated networked applications
Finance and Commerce
The Information Society
Creative Industries and Entertainment
Healthcare
Education
Transport and Logistics
Science and Engineering
Sensor networks to monitor earthquakes, floods or
tsunamis (Bureau of Meteorology flood warning system) 14 14
Environmental Management
eCommerce e.g. Amazon and eBay, PayPal, online banking and trading
Web information and search engines, ebooks, Wikipedia; social networking: Facebook, Twitter, and WeChat.
Online gaming, music and film in the home, user- generated content, e.g. YouTube, Flickr, Netflix
Health informatics, on online patient records, monitoring patients (Metro South Health hospital trial in Queensland)
e-learning, virtual learning environments; distance learning. e.g., Coursera
GPS in route finding systems, map services: Google Maps, Google Earth
Cloud computing as an enabling technology for collaboration between scientists (LHC, LIGO)

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A typical portion of the Internet and its services:
Multimedia services providing access to music, radio, TV channels, and video conferencing supporting several users.

The Internet is a vast collection of computer networks of many different types and hosts various types of services.
% %
ISP
%
Intranet
%
desktop computer:
server: network link:
satellite link
backbone

Mobile and ubiquitous computing: portable and handheld devices in a distributed system
Internet
Host Intranet
Printer
Wireless LAN
WAP (Wireless
App Protocol) gateway
Home Intranet
Camera
Mobile phone
Laptop
Host site
◼ Supports continued access to Home intranet resources via wireless and provision to utilise resources (e.g., printers) that are conveniently located (location-aware computing).
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Resource sharing and the Web: open protocols, scalable servers, and pluggable browsers
www.google.com
Web servers www.cdk5.net
www.w3c.org
File system of
www.w3c.org
http://www.google.com/search?q=Buyya Browsers
Internet Internet
http://www.cdk5.net/
Protocols Activity.html
http://www.w3c.org/Protocols/Activity.html
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Business Example and Challenges
◼ Online bookstore (e.g. in World Wide Web) ◼ Customers can connect their computer to your
computer (web server): ◼ Browse your inventory ◼ Place orders
◼…
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This example has been adapted from Torbin Weis, Berlin University of Technology

Business Example – Challenges I
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◼ What if
◼ Your customer uses a completely different hardware? (PC,
MAC, iPad, Mobile…)
◼ … a different operating system? (Windows, Unix,…)
◼ … a different way of representing data? (ASCII, EBCDIC,…)
◼ Heterogeneity ◼ Or
◼ You want to move your business and computers to the Caribbean (because of the weather or low tax)?
◼ Your client moves to the Caribbean (more likely)?
◼ Distribution transparency

Business Example – Challenges II
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◼ What if
◼ Two customers want to order the same item at the
same time?
◼ Concurrency ◼ Or
◼ The database with your inventory information crashes?
◼ Your customer’s computer crashes in the middle of an order?
◼ Fault tolerance

Business Example – Challenges III
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◼ What if
◼ Someone tries to break into your
system to steal data?
◼ … sniffs for information?
◼ … your customer orders something and doesn’t accept the delivery saying he didn’t?
◼ Security ◼ Or
◼ You are so successful that millions of people are visiting your online store at the same time?
◼ Scalability

Business Example – Challenges IV
◼ When building the system…
◼ Do you want to write the whole software on your
own (network, database,…)?
◼ What about updates, new technologies? ◼ Reuse and Openness (Standards)
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Overview Challenges I
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◼ Heterogeneity
◼ Heterogeneous components must be able to interoperate
◼ Distribution transparency
◼ Distribution should be hidden from the user as much as
possible
◼ Fault tolerance
◼ Failure of a component (partial failure) should not result in
failure of the whole system
◼ Scalability
◼ System should work efficiently with an increasing number
of users
◼ System performance should increase with inclusion of additional resources

Overview Challenges II
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◼ Concurrency
◼ Shared access to resources must be possible
◼ Openness
◼ Interfaces should be publicly available to ease
inclusion of new components
◼ Security
◼ The system should only be used in the way intended

Heterogeneity
◼ Heterogeneous components must be able to interoperate across different:
◼ Operating systems
◼ Hardware architectures
◼ Communication architectures ◼ Programming languages
◼ Software interfaces
◼ Security measures
◼ Information representation
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Distribution Transparency I
◼ To hide from the user and the application programmer the separation/distribution of components, so that the system is perceived as a whole rather than a collection of independent components.
◼ ISO Reference Model for Open Distributed Processing (ODP) identifies the following forms of transparencies:
◼ Accesstransparency
◼ Access to local or remote resources is identical ◼ E.g. Network File System / Dropbox
◼ Locationtransparency
◼ Access without knowledge of location
◼ E.g. separation of domain name from machine address.
◼ Failuretransparency
◼ Tasks can be completed despite failures
◼ E.g. message retransmission, failure of a
Web server node should not bring down the website.
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Fault Tolerance
◼ Failure: an offered service no longer complies with its specification (e.g., no longer available or very slow to be usable)
◼ Fault: cause of a failure (e.g. crash of a component)
◼ Fault tolerance: no failure despite faults i.e., programmed to handle failures
and hides them from users.
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Concurrency
◼ Provide and manage concurrent access to shared resources:
◼ Fair scheduling
◼ Preserve dependencies (e.g. distributed transactions — buy a book using Credit card, make sure user has sufficient funds prior to finalizing order )
◼ Avoid deadlocks
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Openness and InteroperabilityClient in
IE (Microsoft)
Server in Java
Firefox C/C++
Python
Chrome (Google)
◼ Open system:
“… a system that implements sufficient open specifications for interfaces, services, and supporting formats to enable properly engineered applications software to be ported across a wide range of systems with minimal changes, to interoperate with other applications on local and remote systems, and to interact with users in a style which facilitates user portability” (POSIX Open Systems Environment, IEEE POSIX 1003.0)
◼ Open spec/standard developers – communities:
◼ ANSI, IETF, W3C, ISO, IEEE, OMG, Trade associations,…
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Summary
◼ Distributed Systems are everywhere
◼ Internet enables users throughout the world to
access its (application) services from anywhere
◼ Resource sharing is the main motivating factor for constructing distributed systems
◼ Construction of DS produces many challenges:
◼ Heterogeneity, Openness, Security, Scalability, Failure
handling, Concurrency, and Transparency
◼ Distributed systems enable globalization:
◼ Community (Virtual teams, organizations, social networks) ◼ Science (e-Science)
◼ Business (..e-Banking..)
◼ Entertainment (YouTube, e-Friends)
◼ Communication (Zoom,..)
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