• Home
  • Computers
  • Distributed and Cloud Computing: From Parallel Processing to the Internet of Things

Distributed and Cloud Computing: From Parallel Processing to the Internet of Things

By Kai Hwang

Distributed and Cloud Computing, named a 2012 notable educational name by means of the yankee Library Association's Choice e-book, explains how you can create high-performance, scalable, trustworthy structures, exposing the layout rules, structure, and cutting edge functions of parallel, disbursed, and cloud computing systems.

Starting with an summary of contemporary dispensed versions, the publication offers finished assurance of allotted and cloud computing, including:

  • Facilitating administration, debugging, migration, and catastrophe restoration via virtualization
  • Clustered structures for examine or ecommerce applications
  • Designing platforms as net services
  • Social networking platforms utilizing peer-to-peer computing
  • Principles of cloud computing utilizing examples from open-source and advertisement applications

Using examples from open-source and advertisement proprietors, the textual content describes cloud-based platforms for examine, e-commerce, social networking and more.

  • Complete insurance of recent disbursed computing know-how together with clusters, the grid, service-oriented structure, vastly parallel processors, peer-to-peer networking, and cloud computing
  • Includes case stories from the top dispensed computing owners: Amazon, Microsoft, Google, and extra
  • Explains the right way to use virtualization to facilitate administration, debugging, migration, and catastrophe restoration
  • Designed for undergraduate or graduate scholars taking a dispensed platforms course―each bankruptcy contains workouts and additional examining, with lecture slides and extra on hand online

Show description

Quick preview of Distributed and Cloud Computing: From Parallel Processing to the Internet of Things PDF

Show sample text content

24. Z. Li, G. Xie, ok. Hwang, Z. Li, Churn-resilient protocol for enormous info dissemination in P2P networks, in: IEEE Transactions on Parallel and dispensed structures, accredited to seem 2011. 25. Li Z, Xie G, Li Z. effective and scalable consistency upkeep for heterogeneous peer-to-peer platforms. In: IEEE Transactions on Parallel and allotted structures. December 2008;1695–1708. 26. Li Z, Xie G. bettering content material distribution functionality of locality-aware BitTorrent structures. In: court cases of IEEE Globecom.

6 compares the functionalities of those 3 disbursed working platforms. desk 1. 6 function comparability of 3 allotted working structures 1. four. 2. 2 Amoeba as opposed to DCE DCE is a middleware-based method for allotted computing environments. The Amoeba was once academically constructed at unfastened college within the Netherlands. The Open software program origin (OSF) has driven using DCE for dispensed computing. even though, the Amoeba, DCE, and MOSIX2 are nonetheless examine prototypes which are essentially utilized in academia.

Five on-line Social Networking on-line social networking allows many social capabilities over the web. via committed sites, P2P connections may be simply tested. Social networking has already remodeled the way humans have interaction in our on-line world. Social networking websites equivalent to fb, Twitter, LinkedIn, and MySpace are well known this day. they supply on-line prone that let clients to create on-line profile pages and make associates with people who are registered at the related site.

Cloud garage offers a technique for the new release, embedding, and extraction of the watermarks in coloured gadgets. readers might seek advice from the articles via Hwang and Li [36] for info at the info coloring and matching technique. typically, info defense was once performed by means of encryption or decryption that is computationally dear. the knowledge coloring takes a minimum variety of calculations to paint or decolor the knowledge gadgets. Cryptography and watermarking or coloring can be utilized together in a cloud atmosphere.

Amazon doesn't offer seamless/automatic mechanisms for scaling its hosted providers throughout a number of geographically dispensed info facilities. This technique has many shortcomings. First, it's tough for cloud clients to figure out upfront the easiest situation for internet hosting their companies as they might not be aware of the beginning of shoppers in their companies. moment, SaaS services will not be in a position to meet the QoS expectancies in their carrier shoppers originating from a number of geographical destinations. This necessitates development mechanisms for seamless federation of knowledge facilities of a cloud supplier or services helping dynamic scaling of purposes throughout a number of domain names with a purpose to meet QoS objectives of cloud shoppers.

Download PDF sample

Rated 4.99 of 5 – based on 44 votes