Cloud Computing: Theory and Practice

Cloud Computing: Theory and Practice

Dan C. Marinescu

Language: English

Pages: 416

ISBN: 0124046274

Format: PDF / Kindle (mobi) / ePub


Cloud Computing: Theory and Practice provides students and IT professionals with an in-depth analysis of the cloud from the ground up. Beginning with a discussion of parallel computing and architectures and distributed systems, the book turns to contemporary cloud infrastructures, how they are being deployed at leading companies such as Amazon, Google and Apple, and how they can be applied in fields such as healthcare, banking and science. The volume also examines how to successfully deploy a cloud application across the enterprise using virtualization, resource management and the right amount of networking support, including content delivery networks and storage area networks. Developers will find a complete introduction to application development provided on a variety of platforms.

  • Learn about recent trends in cloud computing in critical areas such as: resource management, security, energy consumption, ethics, and complex systems
  • Get a detailed hands-on set of practical recipes that help simplify the deployment of a cloud based system for practical use of computing clouds along with an in-depth discussion of several projects
  • Understand the evolution of cloud computing and why the cloud computing paradigm has a better chance to succeed than previous efforts in large-scale distributed computing

Computer Security and Cryptography

Beginning 3D Game Development with Unity 4: All-in-one, multi-platform game development (2nd Edition)

Credibilistic Programming: An Introduction to Models and Applications (Uncertainty and Operations Research)

Privacy Enhancing Technologies (Lecture Notes in Computer Science Series)

Algorithms (4th Edition)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Solutions. • Stateless address autoconfiguration (SLAAC). IPv6 hosts can configure themselves automatically when they are connected to a routed IPv6 network using the Internet Control Message Protocol version 6 (ICMPv6) router discovery messages. When first connected to a network, a host sends a link-local router solicitation multicast request for its configuration parameters; if configured suitably, routers respond to such a request with a router advertisement packet that contains network-layer.

Machine security The hybrid and the hosted VM models in Figures 5.3(c) and (d), respectively, expose the entire system to the vulnerability of the host operating system; thus, we will not analyze these models. Our discussion of virtual machine security is restricted to the traditional system VM model in Figure 5.3(b), where the VMM controls access to the hardware. Virtual security services are typically provided by the VMM, as shown in Figure 9.2(a). Another alternative is to have a dedicated.

Events in a causal relation with one another. A message can only be delivered after being received (see Figure 2.6) (2.25) Figure 2.6 Message receiving and message delivery are two distinct operations. The channel-process interface implements the delivery rules (e.g., FIFO delivery). First In, First Out (FIFO) delivery implies that messages are delivered in the same order in which they are sent. For each pair of source-destination processes (), FIFO delivery requires that the following.

Figure 2.21(a)], event services [see Figure 2.21(b)], and so on. Figure 2.21 (a) Email service. The sender and the receiver communicate asynchronously using inboxes and outboxes. Mail demons run at each site. (b) An event service supports coordination in a distributed system environment. The service is based on the publish/subscribe paradigm; an event producer publishes events and an event consumer subscribes to events. The server maintains queues for each event and delivers notifications to.

Messages that stress the interconnect point-to-point bandwidth are used to move data between the two decompositions. General Atomic and Molecular Electronic Structure System (GAMESS) is used for ab initio quantum chemistry calculations. The code, developed by the Gordon Research Group at the U.S. Department of Energy’s Ames Lab at Iowa State University, has its own communication library, the Distributed Data Interface (DDI), and is based on the same program multiple data (SPMD) execution model.

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