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A T AXONOMY AND S URVEY OF C LOUD C OMPUTING S YSTEMS Reporter: Steven Chen Date: 2010/10/27 1.

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Presentation on theme: "A T AXONOMY AND S URVEY OF C LOUD C OMPUTING S YSTEMS Reporter: Steven Chen Date: 2010/10/27 1."— Presentation transcript:

1 A T AXONOMY AND S URVEY OF C LOUD C OMPUTING S YSTEMS Reporter: Steven Chen Date: 2010/10/27 1

2 O UTLINE Abstract Introduction Taxonomy of cloud computing Findings Conclusion 2

3 A BSTRACT As a popular computing model, Hype and discussion aside, but there remains no concrete definition of it. What are the similarities and differences of the architectural approaches of cloud computing?? What are areas requiring further research?? 3

4 I NTRODUCTION The goal of this computing model is to make a better use of distributed resources. This taxonomy is to find out the technical strength, weakness and challenges in current cloud systems and we suggest what should be done in future to strengthen the systems. The criteria for defining the taxonomy focus on cloud architecture, virtualization management, services, fault tolerance and we analyze mechanisms like load balancing, interoperability and scalable data storage. 4

5 T AXONOMY OF CLOUD COMPUTING A. C LOUD A RCHITECTURE Basically clouds mode can be defined by three types: 1) Internal Cloud + External Cloud → Private Cloud 2) Public Cloud 3) Hybrid Cloud 5 Software as a service (SaaS) Platform as a service (PaaS) Developers implementing cloud applications Infrastructure as a service(IaaS) [(Virtualization, Storage Network) as a service] Hardware as a service

6 T AXONOMY OF CLOUD COMPUTING B. V IRTUALIZATION M ANAGEMENT There are different types such as server virtualization, storage virtualization and network virtualization in cloud. In the virtualization environments can be dynamically created, expanded, shrunk or moved as demand varies. Virtualization is extremely well suited to a dynamic cloud infrastructure. 6

7 T AXONOMY OF CLOUD COMPUTING C. S ERVICE 7 Software as a Service Platform as a Service Infrastructure as a Service Hardware as a Service

8 T AXONOMY OF CLOUD COMPUTING D. F AULT T OLERANCE Cloud computing extend into the more refined version of cloud service platforms. Some of outages were quite lengthy. Reliance on the cloud can cause real problems when time is money. 8 Service & OutageDurationDate Microsoft Azure: malfunction in Microsoft Azure 22 hoursMarch 13-14 2008 Google search outage: programming error40 minJan 31 2009 Gmail: Site unavailable due to outage in contacts system 1.5 hoursAug 11 2008 S3 outage: Authentication service overload leading to unavailability 2 hoursFeb 15 2008

9 T AXONOMY OF CLOUD COMPUTING E. S ECURITY Usually security is the focal concern in terms of data, infrastructure and virtualization etc. Cloud computing can be made secure but securing cloud computing data is a contractual issue as well as a technical one. (e.g. Amazon-SAS70 Type II) 9

10 T AXONOMY OF CLOUD COMPUTING F. O THER I SSUES 1) Load Balancing: Load Balancing is often used to implement failover the continuation of a service after failure of one or more of its components. 2) Interoperability: Interoperability is needed to allow applications to be ported between clouds, or to use multiple cloud infrastructures between critical business applications are delivered from the cloud. 3) Scalable Data Storage: Horizontal scalability is what cloud provides through load balancing and application delivery solutions. Vertical scalability is related to resources used, much like the old mainframe model. 10

11 F INDINGS Amazon EC2 (IaaS) AWS is becoming popular as de facto standards; Users are able to monitor and control their applications as an instance but not as a service. In order to achieve service manageable the following capability are required: 1) Application-defined SLAs 2) Provision additional services dynamically 3) “Focal Service” approach 11

12 F INDINGS GigaSpaces XAP (PaaS) In-Memory Data-Grid(IMDG) technique is used to manage state data in a database which bridges the bottleneck of scalability. 1 Space-based Architecture (SBA)approaches can meet the challenge of running low-latency transactional applications in a highly distributed environment such as Amazon EC2. 12

13 F INDINGS Google App Engine (PaaS) GAE provides very useful ideas for people or companies to make web applications from scratch without needing to worry about infrastructure. The potential problem is lock-in that creates risks and more cost for long-term. The lock-in is caused custom APIs such as BigTable, Python launcher, accounts and transparent scaling for both python scripts and database. 13

14 F INDINGS Sun Cloud – Open Storage (PaaS) Provide multiple hardware architectures to customize systems for workload, multi-tenancy and resource sharing amongst a large pool of users allowing centralized infrastructure with lower costs. 14

15 F INDINGS Open Source Cloud The role of open source cloud computing is to build some mechanism around digital identify management, and outlines some technological building blocks are needed for controllable trust and identity verification. Most of the open source clouds are providing IaaS (e.g Open Nebula) 15

16 C ONCLUSION Cloud Computing is the promising paradigm for delivering IT as computing utilities. Interoperability is one of the challenging issues for future cloud systems. Customers consider Service Level Agreements (SLAs) as their first priority. 16

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