There is no special relationship between cloud computing and the Internet of Things. Internet of Things is just a common application of cloud computing platform in the future, and the relationship between Internet of Things and cloud computing is the relationship between application and platform.
The development of Internet of Things depends on the perfection of cloud computing system, which provides a possible platform for the processing and integration of massive IOT information. The centralized data processing and management capabilities of cloud computing will effectively solve the storage and processing problems of massive IOT information.
The connection between cloud computing, Internet of Things, human intelligence technology and artificial intelligence is the product of the combination of programming algorithm and big data.
Cloud computing is the algorithm part of the program, and the Internet of Things is the root part of collecting big data.
You can simply think that artificial intelligence = cloud computing+big data (some of which come from the Internet of Things).
With the popularization of Internet of Things in life, it will become the largest and most accurate source of big data.
What are the differences and connections between the sun, the moon, the moon, scientific and technological cloud computing and the Internet of Things? The popular understanding of cloud computing is 1, which is uploaded to the cloud to store things through the network, and storage devices can read without the network. Like a bank.
2. You can use cloud computing, and some software can be used without installation, such as writing documents directly through the cloud without installing word. Like home electricity, you don't have to generate electricity yourself, but buy it through the power grid.
The use of cloud actually reduces the configuration of your own computer, and the Internet of Things is the exchange of information between local computers and servers, and the processing of information uses the resources of local computers to handle things.
How to understand the relationship between Inter and Internet of Things, cloud computing and triple play? The Internet of Things is the application of the objective world on the Internet. Cloud computing is a decentralized technical service model based on the Internet. Triple play is an application technology and business model that integrates Internet, telecommunication network and broadcasting network services.
I hope it works for you.
The difference and connection between cloud computing, big data and the Internet of Things is about 2,250 words. With the rapid development of society, mankind has gradually entered the era of big data. As hot spots in recent years, the Internet of Things and cloud computing have attracted the attention of many people in the industry. According to industry insiders, the prospect of big data is closely related to the Internet of Things and cloud computing. So, is there a different relationship between them, as the industry says? Let's take a look at the relationship between big data and the Internet of Things and cloud computing.
Big data concept
Big data, or "big data" or "massive data", refers to the information that involves so much data that it can't be captured, managed, processed and sorted by current mainstream software tools to help enterprises make more active decisions within a reasonable time. "Big Data" is a huge, complex and diverse data collection. It is a data processing and application mode based on cloud computing, and it is an intellectual resource and knowledge service ability formed through data integration, sharing and cross-reuse.
Big data market structure
Specifically, as early as 1990s, bill inmon, the "father of data warehouse", put forward the concept of "big data". The recent popularity of big data is mainly attributed to the rapid rise of the Internet, mobile devices, Internet of Things and cloud computing, and the global data volume has greatly increased. It can be said that the rise of hotspots such as mobile Internet, Internet of Things and cloud computing is largely the reason for big data.
Through analysis, we vividly know the relationship between big data and mobile Internet, Internet of Things and traditional Internet. Internet of Things, mobile Internet and traditional Internet are generating huge amounts of data every day. Big data is filtered, processed and analyzed in the form of cloud computing, and useful information is generated in advance. This is big data analysis.
Big Data and Cloud Computing
Cloud computing is a mode of increasing, using and delivering related services based on the Internet, which usually involves providing dynamically extensible packages and frequently virtualized resources through the Internet. In recent years, the concept of cloud computing is very popular in academia, business circles and even * * *. At one time, cloud computing was everywhere, which really dwarfed other contemporary IT technologies.
In essence, the relationship between cloud computing and big data is static and dynamic; Cloud computing emphasizes computing, which is a dynamic concept; On the other hand, data are computational objects and static concepts. If combined with practical application, the former emphasizes computing power or storage capacity; But this does not mean that the two concepts are so different. Big data requires the ability to process big data (data collection, cleaning, conversion, statistics, etc.). ), which is actually a powerful computing power; On the other hand, the movement of cloud computing is relative. For example, the storage device in infrastructure as a service mainly provides data storage capacity, which can be said to be dynamic and static.
If data is wealth, then big data is treasure, and cloud computing is a weapon to dig and use treasure! Without powerful computing power, data treasure is a flower in the mirror after all; Without the accumulation of big data, cloud computing can only be a butcher's knife to kill chickens.
Big Data and Internet of Things
The Internet of Things is a network based on information carriers such as the Internet and traditional telecommunication networks, which enables all ordinary physical objects that can be independently addressed to be interconnected.
The relationship between big data and the Internet of Things is complementary. The Internet of Things generates big data. A few years ago, American hospitals produced 500 data a year, IMT 1. All kinds of data, such as 4TB data, are generated by sensors or directly on the Internet. We are now in the era of big data, and the Internet of Things can produce many things in one minute. Apple downloaded more than 20,000 times, and 65,438+10,000 new Weibo were uploaded in one minute. The internet of things all over the world is on the virtual network, which produces a lot of data.
Big data generated by the Internet of Things has different characteristics from general big data. The data of the Internet of Things is heterogeneous, diverse, unstructured and noisy, and the bigger difference is its high growth rate. The data of the Internet of Things is obviously granular, and its data usually contains information such as time, location, environment and behavior. Internet of things data can also be said to be social data, but it is not the communication information between people, but the social cooperation information between people.
In addition, big data contributes to the Internet of Things, which can not only collect sensitive data, but also combine physical objects with virtual objects. There is a traffic jam in Beijing today, but I don't know the reason. If we combine the news released by * * * with the news released by Weibo, we will know what happened. The Internet of Things should be filtered, and the filtering should have a certain pattern.
Based on the relationship between big data, Internet of Things and cloud computing, the Internet of Things highlights the concept of sensor perception, and also has the functions of network line transmission, information storage and processing, industry application interface and so on. Moreover, servers, network lines and application interfaces are often used together with the Internet, which makes it possible to communicate between people (H2H), people and things (H2T) and things and things (T2T), and finally integrates human society, information space and physical world (man-machine).
At present, there is no unified definition of big data. The typical definition is 3V, which means that big data should meet three characteristics: volume, diversity and speed.
The rise of new Internet applications, represented by cloud computing, shows that the basic Internet services are developing in a centralized and unified direction, regardless of hardware, software or data information. In other words, the future big data will have a new feature-unity.
You can also refer to the IOT business network.
Relationship between Internet and Internet of Things, Cloud Computing and Triple Play. Internet is a data Internet. The Internet of Things is a management network formed by connecting things in the real world to the Internet through sensors. Cloud computing is a large-scale computing service platform, which can provide computing services for other networks. Triple play is a comprehensive application network integrating telecommunication network, TV network and Internet.
I hope it works for you.
This paper discusses the relations and differences among grid computing, cloud computing and on-demand computing, and the concepts of cloud computing and grid computing.
First of all, what exactly is cloud computing? Professor Qian pointed out that the cloud is the Internet-netizens always seem to abstract the Internet into a cloud. Cloud computing is a system that supports various Internet applications by using computing systems available on the Internet. Cloud computing is a service-providing mechanism owned by a third party. In order to complete the function, users only care about the services they need, which is the basic definition of cloud computing.
Compared with grid computing and distributed computing, cloud computing has obvious characteristics: First, the cost is low, which is the most prominent feature. The second is the support of virtual machines, which makes some things that were difficult to do in the network environment easier to handle now. The third is the realization of mirror deployment, which can make the execution interoperability of heterogeneous programs that were difficult to handle in the past easier to handle. The fourth is to emphasize service, and there are some new mechanisms, especially those that are more suitable for commercial execution.
So what are the characteristics of grid computing?
Grid computing has a history of more than ten years. What is the basic form of grid? It is a combination of independently managed resources across regions, even countries and even continents. Resources are managed independently, not in the form of unified arrangement. These resources of the grid are heterogeneous, and there is no emphasis on any unified arrangement. In addition, the use of grid is usually to make distributed users form a virtual organization (VO), and access resources from different autonomous domains in the form of virtual organization on such a unified grid-based platform. In addition, grid is usually funded by local, national and international organizations, and supports a wide range of data models, from massive data to special data, as well as temporary data sets of different sizes uploaded to the Internet. This is the basic form of grid at present.
What's the difference between cloud computing and grid computing?
It can be seen that there are similarities between grid computing and cloud computing, especially the characteristics of parallelism and collaboration; But their differences are also obvious. There are mainly the following points:
First of all, the idea of grid computing is to aggregate distributed resources, support virtual organizations and provide high-level services, such as distributed collaborative scientific research. The resources of cloud computing are relatively concentrated, mainly providing the use of the underlying resources in the form of data centers, without emphasizing the concept of virtual organization (VO).
Secondly, grid computing uses aggregate resources to support challenging applications, which is the original intention, because the resources of high-performance computing are not enough, and scattered resources should be aggregated; Later, after 2004, it gradually emphasized the adaptation to general information applications. Especially in China, the grid made is different from that made abroad, that is, it emphasizes supporting information applications. But cloud computing has supported a wide range of enterprise computing and Web applications from the beginning, and it is more universal.
Third, they have different ways of dealing with heterogeneity. Grid computing uses middleware to cover heterogeneous systems, trying to make users face the same environment, leaving difficulties in middleware and letting middleware complete tasks. In fact, cloud computing recognizes heterogeneity and uses the mechanism of image execution or service provision to solve the problem of heterogeneity. Of course, different cloud computing systems are different. Like Google, they generally have their own dedicated internal platform support.
Fourthly, grid computing is used in the form of executing jobs, which can complete the function of generating data in one stage. Cloud computing supports persistent services, and users can take cloud computing as a part of their IT infrastructure to realize business hosting and outsourcing.
Fifth, grid computing is more oriented to scientific research applications, and the business model is not clear. Cloud computing has been aimed at enterprise business applications since its birth, and its business model is relatively clear.
In short, cloud computing uses relatively concentrated resources to execute decentralized applications (a large number of decentralized applications are executed in several large centers); Grid computing aggregates scattered resources and supports large-scale centralized applications (a large application is executed in multiple places). But fundamentally speaking, they are the same in the application characteristics of Inter, both of which are to support the application in the case of Inter and solve the problems of heterogeneity and resource enjoyment.
So, is it possible for grid computing and cloud computing to learn from each other and complement each other? Professor Qian mentioned that if the two are combined, a large number of scattered resources may be aggregated to support a variety of large-scale centralized applications and decentralized applications.
Finally, Professor Qian also said that cloud computing technology needs to pay attention to three issues. The first is security, because if you want to be a public infrastructure, you must gain the full trust of users. The second is standardization, and we can no longer take the old road of intermediary software. The third is open source, and we must take an open platform in order to develop.
A concise description, which is very enlightening.
Viewpoint 1: Grid computing mainly focuses on how to allocate a task to the resources it needs (generally speaking, it is remote). Here, a large computing task can be divided into several small tasks and then distributed to these servers for execution; Cloud computing emphasizes the dynamic generation of resources from hardware infrastructure to meet the needs of tasks. Cloud computing can support grid computing and non-grid computing. (Simple understanding is whether the dynamically generated computing resources come from one server or multiple servers, and whether grid computing algorithms are used. My understanding)
Viewpoint 2: There are three main differences between grid computing and cloud computing. First, the grid mainly provides high-level services through aggregated distributed resources and virtual organizations, while cloud computing resources are relatively concentrated, usually providing access to the underlying resources in the form of data centers, without emphasizing the concept of virtual organizations; Second, the main purpose of grid aggregation resources is to support challenging applications, mainly for education and scientific computing, and cloud computing is used to support a wide range of enterprise computing and web applications. From the beginning; Third, the grid uses intermediary software to cover heterogeneity, cloud computing identifies heterogeneity, and solves heterogeneous problems by providing services.
The relationship between grid computing and cloud computing is shown in the following table.
Table 1 Comparison between Grid Computing and Cloud Computing
grid computing
cloud computing
target
* * * Enjoy efficient computing power and data resources, and realize resource sharing and collaborative work.
Provide general computing platform and storage space, and provide various software services.
Source of resources
Different institutions
Same organization
Resource type
Heterogeneous resources
Isomorphic resources
Resource node
Efficient computer
A server/computer
Virtualized view
Virtual organization
virtual computer
Calculation type
The tight coupling problem is the main problem.
Loose coupling problem
Application type
Scientific calculation is dominant and intensive.
Data processing-oriented, data-intensive
user type
Scientific community
commercial community
payment types/methods
Free (provided by * * *)
Charge by quantity
standardization
OGSA/WSRF has a unified international standard.
There is no standard yet, but there is an open cloud computing alliance OCC.
Grid computing takes the road of academic school: its concept has been debated for many years, its architecture has been destroyed for three times, and it has spent a lot of effort on standards and specifications. Its goal is very ambitious-to enjoy resources and solve problems collaboratively in an extremely complex heterogeneous environment across platforms, organizations and trust domains, and the resources to be enjoyed are also diverse-from high-performance computers to databases. Cloud computing takes the road of realism: regardless of concepts and standards, Google cloud computing and Amazon cloud computing are very different, and cloud computing is just a new fashionable name for what they used to do; * * * The storage and computing resources enjoyed are temporarily limited to one enterprise, which saves a lot of cross-organizational coordination problems; The internal management and operation mode of cloud computing represented by Google is as simple as its interface, and all the functions that can be saved are saved. Google file system doesn't even allow to modify existing files, which greatly reduces the difficulty of implementation, but it releases unprecedented energy with its unparalleled scale effect.
The relationship between grid computing and cloud computing is just like the relationship between OSI and TCP/IP: the OSI (Open Systems Interconnection) network standard formulated by ISO is very thoughtful and complicated, and the problems of session layer and presentation layer have been considered many years ago. It's far-sighted, but it's too Chun Xue, and it's difficult and costly to realize. When the simplified version of OSI-TCP/IP came out, the seven-layer protocol was simplified to four layers, and the content was greatly simplified, so it soon succeeded. After TCP/IP dominated the world for many years, issues such as semantic web were put on the agenda and began to make up lessons for TCP/IP to improve its conversation and expression ability. So OSI is academic and TCP/IP is realistic. OSI is the basis of TCP/IP, which promotes the development of OSI. It is not a question that the winner is king and the loser is enemy, but a question of rolling development.
Elaborate the differences and connections among big data, cloud computing and Internet of Things. 1. The Internet of Things generates big data, and big data helps the Internet of Things. At present, the Internet of Things is supporting social activities and changes in people's lifestyles, which is called the third wave of information development that impacts modern society after computers and the Internet. In the process of connecting goods with the Internet for information exchange and communication, thus realizing intelligent identification, positioning, tracking, monitoring and management, the Internet of Things generates a large amount of data, which also affects the re-formation of business models in the fields of electric power, medical care, transportation, security, logistics and environmental protection. The handshake data of the Internet of Things is gradually showing great commercial value.
2. Big data is a high-speed sports car, and cloud computing is a highway. In the era of big data, users' experiences and needs have far exceeded the development of scientific research, but these needs of users are still being realized. In the era of cloud computing and big data, the statistical analysis ability in those science fiction films has begun to take shape, and the biggest heroes are not engineers and scientists, but Internet users, whose contributions have far exceeded the accumulation of technology for ten years.