Derrick Harris: The Innovation of Cloud computing

Source: Internet
Author: User
Keywords Can we they very much but

Giga OM analyst Derrick Harris

Derrick Harris: The following speech is about the innovation of cloud computing. From now on to the development of the next few years, 2006 when the Amazon Cloud services online, which is wmware virtualization inside the very important event. In this way we can use very simple cloud services, so that customers can get the service of virtual server, so that can be very fast access to services. For some companies, they do not need to debug, and do not need to do other repetitive work. Many suppliers can buy according to your needs, and in a year's time, if the time of redundancy, such as Christmas time can be temporarily idle.

This slide is from the Amazon's 2006 online news. EC2 needs a virtual operating environment, processing speed per second can be achieved very quickly. You can manage a large number of databases and manage large amounts of data.

Pyramid-Type Services we call infrastructure-level services, such as private clouds, and so on, are equivalent to the Amazon cloud. In the middle we want to do platform level service, we are more focused on the developer, is a completely different way, can realize the use of the application. At the top we will have software-level services.

Software-level service is a very large business, even for some small companies, in the United States is basically based on software-level services. My company is not a very large company, but each of our software services are from our service table to cooperate, all platforms are http://www.aliyun.com/zixun/aggregation/13423.html "> Based on the cloud computing platform. Services can be targeted at all things, like saas.com, are based on cloud computing, cloud services platform can be automated cloud computing. We also have control tables and other surface tables for process monitoring, and of course these are tools. And we can also implement the Open source API to make the whole service smoother. Any service that is looking for a separate application, such as saas.com, can be shared among different resources, such as you can analyze its inventory and combine it with marketing data. Can be a very good data platform fusion, it is very powerful.

I can do a further analysis here, it can be oriented to the real world. Saas.com is such a successful company that we can look at it to have thousands of different small applications grouped together and there will be more data. We know that the entire infrastructure service is also a very big investment point, but infrastructure as a service, like Amazon and Google's cloud services is also a point of their concern, but also the main battlefield we are fighting for. For example, Amazon's Web services, Microsoft, VMware and so on, they are doing their best to achieve this service.

What I want to point out here is that they have this kind of economic argument, but last week, two weeks ago, Amazon's Internet service led to a fall in the overall share price, and Google did a lot of reform later. I don't know if Microsoft has a way to deal with it at the same time, but it is a very good resource, very big platform, can continuously drive the price drop, make some small companies in the competition process more difficult.

As I mentioned above, the infrastructure providers we need need to be aware of these and we need a virtual server. We can guarantee service performance, there are some differences here.

Let's look at the platform services below. I believe many media outlets have reported on this area, especially one or two years ago. I can call it the future, and it's definitely the future. We can push the code directly to the client, and you can push your code directly into your service. I think there is no doubt about this setting. One problem with platform services is money, because investment is very huge and may take 1 billion. So we can see that we still need a lot of investment to do your SAP. Google, Microsoft their cloud computing platform has platform services, because our market demand is still very large. You have a lot of options, if you're a developer, if you need web-based services, I'll give you a platform to do these things.

How far are private and corporate cloud services now? Our service providers they are buying cloud services software, but large companies are not quite sure what they are up to now. There are companies that have a lot of downloads, but big companies are not quite sure what to do, Amazon they are in-house to do API services. Maybe they have a private cloud inside, but many companies don't know what the cloud can do for them. We can provide a server to get the service, which is a problem for them. They are worried about the need to buy more software.

I think one of the biggest drivers of public cloud today is cost, because our prices are on demand. Because many people feel that monthly payments are more attractive to them and can be customized at any time. The other point is flexibility. We have mentioned that we can enlarge or reduce capacity, which is a point that we all pay attention to. The last one is productivity, which I think is the most important point. Can increase the speed, and can prove to the market speed to market.

The time to enter the market is the most important, you can have very fast service. But I think the biggest driving factor in the future is that our market is changing and many companies are making changes. For example, we have a mobile interconnect to accumulate large data, which are our drivers. Our idea is this, my bottom line is to do the same thing as before, but to be cheaper, this can use cloud computing, more and more companies will use cloud computing.

Finally, cooperation is the social network. For example, you have a lot of applications that can share the cloud and everyone can use it. You can collaborate on applications and share with the market. You can share the market with your co-workers, share your data with your collaborators, or have a way of sharing online, whether it's talking or chatting. And we now have big data banks, some people are responsible for storing and managing the data, but some companies without space can get that data, something we couldn't have done before, but now it's OK.

For example, some companies store large amounts of genetic data in their servers. This is DNAnexus, this is our geometry of the cloud. First you can see that our researchers can connect to a large number of genetic databases through his computer. Anyone who gets this data can get a lot of data, and they can't send the data over the Internet and get it directly. We have a lot of applications for mobile interconnection, for example, many companies want to minimize the problems they inherited before, hoping to connect directly to the data center. In the New York data Center, for example, I want to be able to connect directly to Chicago.

Synergy on the Web, we can do an application. I was offline when I was flying, but once I was online I could get everything and upload my updates.

There are also processing capabilities, such as online games, in which we can not handle a lot of online games, but with the cloud on it. For developers, developers need a simpler way to do their development work.

This is one of our screenshots, is the parse screen, is one of our platform. Always click, Pull-down menu, are very simple to use, nothing particularly complicated.

Big data is a big topic, and applications and infrastructure are very important here. You have the infrastructure and you need a good architecture to manage your big data. This is a time when you don't have to build your own infrastructure because you can use the cloud. All of these microblogging data, you may have a cloud server yourself, but now this data does not need to be transferred, directly stored in the cloud server on it. If I were a system administrator for a company, I had thousands or tens of thousands of users, I could tell them what was happening in other companies and tell them what was happening in our company. This is a combined intelligent system.

Scalability is that I don't need a cluster, the day is often idle, I can expand or shrink it at any time. This is my favorite example, this is a company, called BloomReach, is a big data company, it does online retailer data. They have a lot of analog language data analysis, so you can outsource your system and design the same system.

With regard to private cloud, many companies want to be a provider of cloud services, hoping to become Google, hoping to have a large company and efficient operation. Their cheap and efficient hardware, including the "Hyper-cloud" service, they use Low-cost servers, can have fast but inexpensive hardware, but they have very smart software, this time you do not need to buy a very expensive Cisco system.

Intelligent collaborative location You can always be very fast and close to the data and customers you need, do not need to buy 10,000 servers. Citing President Kennedy's remark, ask the right question, how do you use the cloud for your current application? We can see more and more new applications, which is impossible.

(Responsible editor: The good of the Legacy)

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