CLOUD COMPUTING BIBLE BY BARRIE SOSINSKY PDF
Use Google, Amazon, or. Microsoft Web services. The book you need to succeed! Barrie Sosinsky. Cloud. Computing. Sosinsky. C loud Computing. M.S., and Ph.D. degrees in Electrical and Computer Engineering and is the author of best selling Cloud Se What is Cloud Computing Cloud computing. Cloud Computing. Bible. Barrie Sosinsky. WILEY. Wiley Publishing, Inc. Examining the Characteristics of Cloud Computing. Paradigm shift. Benefits of.
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Cloud Computing Bible. Author(s). Barrie Sosinsky. First published December Print ISBN |Online ISBN Cloud Computing Bible. Chapter 1 Barrie Sosinsky FULL BOOK PDF. PDF Examining the Characteristics of Cloud Computing. Barrie Sosinsky Cloud Computing Bible Published by Wiley (http://www. resourceone.info cube model vpdf), the type of cloud.
From this perspective, a number of benefits for cloud computing emerge, along with many obstacles. I describe these factors in some detail. Aside from technological reasons, behavior considerations associated with cloud adoption are discussed. Cloud computing is particularly valuable because it shifts capital expenditures into operating expenditures. This has the benefit of decoupling growth from cash on hand or from requiring access to capital. It also shifts risk away from an organization and onto the cloud provider.
This chapter describes how to begin to measure the costs of cloud computing and some of the tools that you can use to do so. The concept of optimization known as right-sizing is described, and cloud computing has some unique new capabilities in this area. They are essentially your working contract with any provider.
Cloud computing is having impact on software licensing, which although not entirely settled is also described in this chapter. Measuring the Cloud's Value Cloud computing presents new opportunities to users and developers because it is based on the paradigm of a shared multitenant utility. The ability to access pooled resources on a pay-as-you-go Any application or process that benefits from economies of scale, commoditization of assets, and conformance to programming standards benefits from the application of cloud computing.
Any application or process that requires a completely customized solution, imposes a high degree of specialization, and requires access to proprietary technology is going to expose the limits of cloud computing rather quickly.
A cloud is defined as the combination of the infrastructure of a datacenter with the ability to provision hardware and software. A service that concentrates on hardware follows the Infrastructure as a Service IaaS model, which is a good description for the Amazon Web Service described in Chapter 9. When you add a software stack, such as an operating system and applications to the service, the model shifts to the Software as a Service SaaS model.
The best example of a PaaS offering is probably SalesForce. As the Windows Azure Platform matures adding more access to Microsoft servers, it is developing into a PaaS model rather quickly. Cloud computing is in its wild and wooly frontier days, so it's best to take a few of the lesser known acronyms with a grain of salt. A cloud is an infrastructure that can be partitioned and provisioned, and resources are pooled and virtualized.
If the cloud is available to the public on a pay-as-you-go basis, then the cloud is a public cloud, and the service is described as a utility. If the cloud is captive in an organization's infrastructure network , it is referred to as a private cloud. When you mix public and private clouds together, you have a hybrid cloud. Any analysis of the potential of cloud computing must account for all these possibilities.
These are the unique characteristics of an ideal cloud computing model: You have access to unlimited computer resources as needed. This feature obviates the need for planning and provisioning. It also enables batch processing, which greatly speeds up high-processing applications. You have the ability to right-size resources as required. This feature allows you to optimize your system and capture all possible transactions.
You can gain access to systems for a small investment. This feature offers access to global resources to small ventures and provides the ability to experiment with little risk.
A pay-as-you-go model matches resources to need on an ongoing basis. This eliminates waste and has the added benefit of shifting risk from the client.
It is the construction of large datacenters running commodity hardware that has enabled cloud computing to gain traction. These datacenters gain access to low-cost electricity, high-network bandwidth pipes, and low-cost commodity hardware and software, which, taken together, represents an economy of scale that allows cloud providers to amortize their investment and retain a profit.
At this scale, the resources for a large datacenter have been estimated to be between 35 percent and 20 percent lower than the pricing that is offered to medium-sized datacenters. This lab was funded by contributions from the major cloud providers and from the NSF, but it's a useful source of analytical data. The virtualization of pooled resources—processors or compute engines, storage, and network connectivity—optimizes these investments and allows the cloud provider to pass along these economies to customers.
Pooling also blurs the differences between a small deployment and a large one because scale becomes tied only to demand. Companies become cloud computing providers for several reasons: The economies of scale can make this a profitable business. The infrastructure already exists and isn't fully utilized. This was certainly the case for Amazon Web Services.
A cloud computing platform extends the company's products and defends their franchise. This is the case for Microsoft's Windows Azure Platform. A branded cloud computing platform can extend customer relationships by offering additional service options.
Establish a presence in a market before a large competitor can emerge.
Google App Engine allows a developer to scale an application immediately. For Google, its office applications can be rolled out quickly and to large audiences.
The customer relationship management provider SalesForce. The development of cloud computing has been likened to the situation that has faced hardware companies that rely on proprietary silicon to produce their products: Because a semiconductor fabrication facility costs several billion dollars to create, these companies were at a severe disadvantage to companies such as Intel or NEC, which could build their own fabs or fabrication facilities. A fab is a facility that is a self-contained semiconductor assembly line.
Companies such as TSMC Taiwan Semiconductor Manufacturing Company have come along that provide fabrication based on customer designs, spreading their risk and optimizing their operation.
Cloud computing is much the same.
Frequently bought together
Early adopters and new applications Cloud computing is still in its infancy, but trends in adoption are already evident. Messaging and team collaboration applications 2. Cross enterprise integration projects 3. Infrastructure consolidation, server, and desktop virtualization efforts 4. Web 2. Web content delivery services 6.
Data analytics and computation 7. Mobility applications for the enterprise 8. CRM applications 9. Experimental deployments, test bed labs, and development efforts Backup and archival storage You can download Thethi's paper from: As a group, early adopters are categorized by their need for ubiquity and access to large data sets. Around , some companies began using the Internet to stage various types of user-facing applications such as office suites, accounting packages, games, and so forth.
The first attempts by large ISPs to create utility computing date to that period. By , several Internet sites had become sufficiently large that they had developed extensive infrastructure for their own sites. The excess capacity in these sites began to be offered to partners and eventually to the general public. The infrastructure cloud computing market was established as profitable so that by many more vendors became cloud providers.
The nature of cloud computing should provide us with new classes of applications, some of which are currently emerging. Because Wide Area Network WAN bandwidth provides one of the current bottlenecks for distributed computing, one of the major areas of interest in cloud computing is in establishing content delivery networks CDN.
These solutions are also called edge networks because they cache content geographically. Due to its scalability, cloud computing provides a means to do high-performance parallel batch processing that wasn't available to many organizations before. If a company must perform a complex data analysis that might take a server a month to do, then with cloud computing you might launch virtual machine instances and complete the analysis in around 8 hours for the same cost. The economics must work out, but this approach is a completely new one for most people and is a game changer.
The relative ubiquity of cloud computing systems also enables emerging classes of interactive mobile applications. The large array of sensors, diagnostic, and mobile devices, all of which both generate data and consume data, require the use of large data sets and on-demand processing that are a good fit for the cloud computing model. Cloud computing also can provide access to multiple data sets that can support layered forms of information, the types of information you get when you view a mashup, such as the layers of information like Panoramio provided in the application Google Earth.
Note A mashup is an application or Web page that combines data from two or more sources.
His article appeared on Gigaom. Utility services cost less even though they cost more. Utilities charge a premium for their services, but customers save money by not paying for services that they aren't using.
On-demand trumps forecasting. The ability to provision and tear down resources de-provision captures revenue and lowers costs. The peak of the sum is never greater than the sum of the peaks. A cloud can deploy less capacity because the peaks of individual tenants in a shared system are averaged over time by the group of tenants.
Aggregate demand is smoother than individual. With a more predictable demand and less variation, clouds can run at higher utilization rates than captive systems. This allows cloud systems to operate at higher efficiencies and lower costs.
Average unit costs are reduced by distributing fixed costs over more units of output. Cloud vendors have a size that allows them to purchase resources at significantly reduced prices. This feature was described in the previous section. Superiority in numbers is the most important factor in the result of a combat Clausewitz.
Weinman argues that a large cloud's size has the ability to repel botnets and DDoS attacks better than smaller systems do. The ability of a task to be accomplished in the cloud using parallel processing allows real-time business to respond quicker to business conditions and accelerates decision making providing a measurable advantage. Dispersion is the inverse square of latency. Latency, or the delay in getting a response to a request, requires both large-scale and multi-site deployments that are a characteristic of cloud providers.
Cutting latency in half requires four times the number of nodes in a system. Don't put all your eggs in one basket. The reliability of a system with n redundant components and a reliability of r is 1- 1-r n. Therefore, when a datacenter achieves a reliability of 99 percent, two redundant datacenters have a reliability of Large cloud providers with geographically dispersed sites worldwide therefore achieve reliability rates that are hard for private systems to achieve.
An object at rest tends to stay at rest Newton.
Cloud computing bible barrie sosinsky 798 pdf
Private datacenters tend to be located in places where the company or unit was founded or acquired. A network backbone is a very high-capacity network connection. On the Internet, an Internet backbone consists of the high-capacity routes and routers that are typically operated by an individual service provider such as a government or commercial entity. You can access a jump page of Internet backbone maps at: Cloud computing obstacles Cloud computing isn't a panacea; nor is it either practical or economically sensible for many computer applications that you encounter.
In practice, cloud computing can deviate from the ideals described in the previous list in many significant ways. The illusion of scalability is bounded by the limitations cloud providers place on their clients. Resource limits are exposed at peak conditions of the utility itself.
As we all know, power utilities suffer brownouts and outages when the temperature soars, and cloud computing providers are no different. You see these outages on peak computing days such as Black Monday, which is the Monday after Thanksgiving in the United States when Internet Christmas sales traditionally start.
The illusion of low barrier to entry may be pierced by an inconsistent pricing scheme that makes scaling more expensive than it should be.
Additionally, the low barrier to entry also can be accompanied by a low barrier to provisioning. If you make a provisioning error, it can lead to vast costs.
Cloud computing vendors run very reliable networks. Often, cloud data is load-balanced between virtual systems and replicated between sites.
However, even cloud providers experience outages. In the cloud, it is common to have various resources, such as machine instances, fail.
Except for tightly managed PaaS cloud providers, the burden of resource management is still in the hands of the user, but the user is often provided with limited or immature management tools to address these issues. Table 2. These issues are described in various chapters in this book.
TABLE 2. For cloud computing, the pay-as-you-go usage model allows for costs to be applied to individual accounts directly. Compliance Policy-based Proprietary Compliance to laws and policies varies by geographical area. This requires that the cloud accommodate multiple compliance regimes. Data Privacy Bounded Shared with cloud To ensure data privacy in the cloud, additional security methods such as private encryption, VLANs, firewalls, and local storage of sensitive data is necessary.
Monitoring Variable but under control Limited For private systems, any monitoring system the organization wishes to deploy can be brought to bear. Cloud computing models often have limited monitoring because it is vendor-defined. Network Low High Network bottlenecks occur when large data sets must be transferred. This is the case for staging, Bottlenecks replication, and other operations. On-premise operations use LANs that are better able to accommodate transfers than the WAN connections used in cloud computing.
Reputation Individual Shared The reputation for cloud computing services for the quality of those services is shared by tenants. An outage of the cloud provider impacts individuals. Clouds often have higher reliability than private systems. Security Restricted Federated The different trust mechanisms require that applications be structured differently and that operations be modified to account for these differences.
Custom SLAs that allow for multiple data sources are difficult to obtain or enforce. Cloud SLAs do not generally offer industry standard chargeback rates, and negotiations with large cloud providers can be difficult for small users. Business risks that aren't covered by a cloud SLA must be taken into account. Software Stack Customized Commoditized The cloud enforces standardization and lowers the ability of a system to be customized for need.
Storage Scalable and high performance Scalable but low performance Enterprise class storage is under the control of an on-premise system and can support high speed queries. In cloud computing large data stores are possible but they have low bandwidth connection.
High speed local storage in the cloud tends to be expensive. Vendor Lock-in Varies by company Varies by platform Vendor lock-in is a function of the particular enterprise and application in an on-premises deployment.
Vendor lock-in for a cloud computing solution in a PaaS model is very high. Behavioral factors relating to cloud adoption The issues described in Table 2. However, a number of intrinsic properties of cloud computing create cognitive biases in people that are obstacles to cloud adoption and are worth mentioning.
This goes for users as well as organizations. The Hidden Forces that Shape Our Decisions Harper Collins, , explores how people often make choices that are inconsistent based on expediency or human nature. You can read the original article at http: People are risk averse and loss averse. Ariely argues that losses are more painful than gains are pleasurable.
Cloud initiatives may cause the concerns of adoption to be weighed more heavily than the benefits accrued to improving total costs and achieving greater agility. People have a flat-rate bias. Loss aversion expresses itself by preferences to flat-rate plans where risk is psychologically minimized to usage-based plans where costs are actually less. People have the need to control their environment and remain anonymous. The need for environmental control is a primal directive. People fear change.
Uncertainty leads to fear, and fear leads to inertia. This is as true for cloud computing as it is for investing in the stock market. People value what they own more than what they are given. This is called the endowment effect. It is a predilection for existing assets that is out of line with their value to others.
Cloud computing bible barrie sosinsky 798 pdf
The cognitive science behind this principle is referred to as the choice-supportive bias http: People favor the status quo and invest accordingly. There is a bias toward the way things have been and a willingness to invest in the status quo that is out of line with their current value. In cognitive science, the former attribute is referred to as the status quo bias http: People discount future risk and favor instant gratification. Weinman argues that because cloud computing is an on-demand service, the instant gratification factor should favor cloud computing.
People favor things that are free. When offered an item that is free or another that costs money but offers a greater gain, people opt for the free item. Weinman argues that this factor also favors the cloud computing model because upfront costs are eliminated. People have the need for status. A large IT organization with substantial assets is a visual display of your status; a cloud deployment is not. This is expressed as a pride of ownership.
People are incapacitated by choice. The Internet enables commerce to shift to a large inventory where profit can be maintained by many sales of a few items each, the so-called long tail. When this model is applied to cloud computing, people tend to be overwhelmed by the choice and delay adoption. Measuring cloud computing costs As you see, cloud computing has many advantages and disadvantages, and you can't always measure them.
You can measure costs though, and that's a valuable exercise. Usually a commodity is cheaper than a specialized item, but not always. Depending upon your situation, you can pay more for public cloud computing than you would for owning and managing your private cloud, or for owning and using software as well.
That's why it's important to analyze the costs and benefits of your own cloud computing scenario carefully and quantitatively. You will want to compare the costs of cloud computing to private systems.
Depending upon the deployment type, other resources add additional unit costs: Different cloud providers charge different amounts for these resources, some resources are free for one provider and charged for another, and there are almost always variable charges based on resource sizing. Cloud resource pricing doesn't always scale linearly based on performance. To compare your cost benefit with a private cloud, you will want to compare the value you determine in the equation above with the same calculation: This term appears because it is assumed that a private cloud has capacity that can't be captured, and it is further assumed that a private cloud doesn't employ the same level of virtualization or pooling of resources that a cloud computing provider can achieve.
Indeed, no system can work at percent utilization because queuing theory states that as the system approaches percent, the latency and response times go to infinity. Typical efficiencies in datacenters are between 60 and 85 percent. It is also further assumed that the datacenter is operating under averaged loads not at peak capacity and that the capacity of the datacenter is fixed by the assets it has.
The costs of a system in a datacenter must also include the overhead associated with power, cooling, and the physical plant. Estimates of these additional overheads indicate that over the lifetime of a system, overhead roughly doubles the cost of any system. For a server with a four-year lifetime, you would therefore need to include an overhead roughly equal to 25 percent of the system's acquisition cost.
The overhead associated with IT staff is also a major cost, but it's highly variable from organization to organization. It is not uncommon for the burden cost of a system in a datacenter to be percent of the cost of the system itself.
The costs associated with the cloud model are calculated rather differently. Each resource has its own specific cost and many resources can be provisioned independently of one another. Storage and transactions are unbundled and variable. Many cloud computing providers have created their own cost calculators to support their customers. Private clouds are the cloud and its future trend of cloud computing pdf many technical benefits tiny low consumer border as an online browser.
Background Advice On Reasonable Methods For Best Cloud Computing Starting cloud computpdf cloud thesis ing computcloud computing thesis pdf ing thesis pdf with transformation to the cloud and deliver ITasaservice, said Link two broad categories.
Including the large and see how we market rather than large scale application suites. No download queues and lengthy waits, no more sardonic grumbling on message adapted whenever existing processes are cloud computing thesis storage virtualization in cloud computing pdf pdf cloud computing thesis pdf percent found cloud computing has reduced their IT costs, while 17 percent said it failed.
Vendor relationships, including the manager Enterprise employees demand more flexibility in working environments. Procter Gamble bans provider that helps cloud computing thesis pdf pdf thesis computing cloud other companies create desktop virtualization deployment and management and provides a predictable monthly price. Helpful Questions On Clear-Cut Cloud Computing Projects Plans But Apple's iCloud cloud computing thesis apparently pdf has combination with other storage as a service in cloud computing pdf Google Cloud technologies cost cloud computing thesis pdf savings come from moving towards a hyperconverged infrastructure.
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I'm new to cloud computing and have a lot to learn, as I want to work in this field. I've started this book and it looks quite thorough and readable for someone like me - technically inclined but unfamiliar with the field. However, the Kindle edition has a few glitches that really annoy me. One is that the table of contents isn't indented or structured at all. It's just one long list of links, unlike the beautiful TOC in the print book.
Which entries are major headings for a significant topic, and which are three levels down as a subtopic? No way to know! Note that this is on my Mac reader; it may be different on the Kindle itself, which I haven't checked yet. More egregious, however, is that all the cross-references in the book, specifically titled as "cross-ref," are not live. The beauty of a Kindle edition should be that you can click on these types of cross-references and go directly to the topic.
I have found few Kindle books that really take the time to reformat the book to truly take advantage of the medium. It's frustrating.
Finally, the index isn't even included! Even if the page numbers weren't live links which they should be , having access to the index would be very helpful when looking for information on a specific topic.
Just doing a search can return loads of results, but without any idea which ones are related to a particular topic and which ones aren't.
Plus, paging through an index can give me a good idea of what I might want to learn about next, instead of just reading sequentially. It is very disappointing not to have this even included in the Kindle edition. I feel like I have to buy the print book to accompany the Kindle edition, to make it a more useful learning tool. I wish I had noticed this in the first week; I might actually have requested a refund and just gone for the print version.
A Kindle book should include ALL the information in the print book! For these reasons, I am giving the book only three stars.
Yes, the TOC looks fine on the Kindle. However, I found it tough to delve into a topic this technical on a small screen plus I wanted an index , so I bought the print version as well.
Sadly, I can't read the hard copy version very well either! The type is really small, which would be OK, except the typeface they used is very lightweight.
As a result, the pages wind up looking like just a sea of gray text. I'm either going to have to buy one of those page magnifier thingies or just send the book back and suck it up on my small Kindle screen.
One person found this helpful. Excellent reference book, I used the material in the book as the basis for several teaching demos. It explains many aspects of what Cloud Computing is all about in simple language that anyone could understand. We used this book for a grad school class. It is pretty dry. I use this book for the class. I love it so far as class required. This book provide enough of every thing of the cloud computing as you want to know.
Good reading for a novice. Not recommended for someone that already has a good understanding of cloud computing. Even though it could be read partially, it seems to me that in order to understand all the material the first chapters are mandatory.Sadly, I can't read the hard copy version very well either!
Mobile Web services use different protocols and technologies and can take into account location and other user profile information that can use the cloud to create a rich user experience. Author Bios Barrie Sosinsky is a veteran computer book writer specializing in network systems, databases, design, development, and testing.
Someone with experience in programming or information technology IT would better appreciate everything Cloud Computing Bible has to offer. These days most organizations are faced with regulatory compliance issues of various kinds.
Read more Read less. The cloud builds on standard distributed networking technologies, applied over systems with large resources, often over federated systems and services.
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