Cloud Computing云计算.docx

《Cloud Computing云计算.docx》由会员分享，可在线阅读，更多相关《Cloud Computing云计算.docx（4页珍藏版）》请在淘文阁 - 分享文档赚钱的网站上搜索。

1、Cloud Computing Abstract-Cloud computing is a new computing model；it is developed based on grid computingWe introduced the development history of cloud computing and its application situation and gave a new definition；took googles cloud computingtechniques as an example，summed up key techniques，such

2、 as data storage technology(Google File System)，data management technology(BigTable)，as well as programming model and task scheduling model(MapReduce)，used in cloud computing；and analyzed the differences among cloud computing,grid computing and traditional super-computing，and fingered out the furthe

3、r development prospects of cloud computingKey words:cloud computing；data storage；data management；programming model. DefinitionCloud computing is the development of distributed computing, parallel processing, and grid computing, which represents an emerging business computing model. Cloud Computing S

4、ummaryCloud computing is a kind of network service and is a trend for future computing Scalability matters in cloud computing technology Users focus on application development Services are not known geographically. The specific characteristics1) Data in the cloud: not afraid to lose, do not have to

5、back up, you can restore at any point;2) Software in the cloud: You do not have to download and update yourself ；3) Ubiquitous computing: at any time, any place, any device, log in to enjoy computing services;4) Powerful computing: unlimited space, unlimited speed. The main forms of service1) Softwa

6、re as a Service(SaaS)2) SaaS service providers deploy application software on the server, users on demand ordered from the manufacturer via the Internet, service providers charge based on customers needs, and to provide customers with the software through a browser.3) Platform as a Service(PaaS)4) M

7、anufacturers provide a development environment, server platforms, hardware resources services to customers, custom develop their own application and pass through its servers and the Internet to other customers5) Infrastructure services(IaaS)6) Cloud infrastructure consisting of multiple servers, pro

8、vide measurement services to customers. Characteristics1) In general, cloud computing customers do not own the physical infrastructure, instead avoiding capital expenditure by renting usage from a third-party provider. They consume resources as a service and pay only for resources that they use. Man

9、y cloud-computing offerings employ the utility computing model, which is analogous to how traditional utility services (such as electricity) are consumed, whereas others bill on a subscription basis. Sharing perishable and intangible computing power among multiple tenants can improve utilization rat

10、es, as servers are not unnecessarily left idle (which can reduce costs significantly while increasing the speed of application development). A side-effect of this approach is that overall computer usage rises dramatically, as customers do not have to engineer for peak load limits. In addition, incre

11、ased high-speed bandwidth makes it possible to receive the same response times from centralized infrastructure at other sites.2) The cloud is becoming increasingly associated with small and medium enterprises (SMEs) as in many cases they cannot justify or afford the large capital expenditure of trad

12、itional IT. SMEs also typically have less existing infrastructure, less bureaucracy, more flexibility, and smaller capital budgets for purchasing in-house technology. Similarly, SMEs in emerging markets are typically unburdened by established legacy infrastructures, thus reducing the complexity of d

13、eploying cloud solutions. Origins of cloud computingIn 2006,Google engineer Christophe suggest Google CEO Eric Schmidt the idea of cloud computing“ at the first time, under the support of Schmidt, Google rollout Google 101 plan and formally proposed the concept of “cloud . Googles concept of “cloud

14、computing” is a picturesque phrase, to describe Googles business model and computing technology architecture in a romantic way.therefore, cloud computing consists two levels of meaning, in commercial level, just the cloud“; in the technical level is computing,combined the cloud and computing to illu

15、strate that Google is different with traditional software and hardware companies in business models and computing architecture. This is just a very beautiful and very romantic metaphor. Brief IntroductionApache Hadoopis a framework for running applications on large cluster built of commodity hardwar

16、e. The Hadoop framework transparently provides applications both reliability and data motion. Hadoop implements a computational paradigm namedMap/Reduce, where the application is divided into many small fragments of work, each of which may be executed or re-executed on any node in the cluster. In ad

17、dition, it provides a distributed file system (HDFS) that stores data on the compute nodes, providing very high aggregate bandwidth across the cluster. BothMapReduceand the Hadoop Distributed File System are designed so that node failures are automatically handled by the framework. Two Important Tec

18、hnical1) HDFS: Hadoop Distributed File System (HDFS) is designed to reliably store very large files across machines in a large cluster. It is inspired by the GoogleFileSystem.2) MapReduce: MapReduce is a programming model for processing large data sets with a parallel, distributed algorithm on a clu

19、ster. The future of cloud computing1) Cloud computing is seen as the next revolution of the technology industry, it will bring a fundamental change in working methods and business models.2) Once cloud computing has been widely promoted,we can predict the upcoming spring of the super computer market

20、!REFERENCES1VARIA JClouda rchitecturesAmazon Web servieesEB/OLl2009一030lhttp:/acmbangnloreorg/events/monthly-talk/may-2008-cloudarchitecturesamazon-web-service.html2 BRYANT R EDataintensive supercomputing:The case for DISC.CMUCS-07128RPittsburgh，PA，USA:Carnegie Mellon University.Department of Comput

21、er Science.20073 SZALAY A S，KUNSZT P，THAKAR A，et alDesigning and mining multiterabyte astronomy archives:The sloan digital sky surveyCJProceedings of the 2000 ACM SIGMOD International Conference on Management of DataNew YoA:ACM Press，2000:4514624BARROSOL A，DEAN J，HOLZLEUWeb search for a planet:The G

22、ongle cluster architectureJIEEE Micro.2003，23(2):22285 GILES JGoogle tops translation rankingEB/OL(200611一06)200903一06 1http:/wwwnaturecorn/news/2006/061 106/full/news061 106-6html6维基白科Cloud computingl EB/OL20090310http:/e11wikipediaorg/wiki/Cioudcomputing7中国云计算网什么是云计算?EB/OLl(200805一14)20090227http:/wwweioudeomputing-ehinacn/Artiele/ShowArtieleasp9AttielelD=18 VAQUERO L M，RODERO-MERINO LCACERES J，et al.Abreakin the clouds:Towards a cloud definitionJACM SIG-COMM Computer Communication Review.2009.39(I):50559WEISS AComputing in the cloudsJACM Networker,2007，11(4):1625