Tutorial for understanding the relationship between cloud computing and saas

tutorial for understanding the relationship between cloud computing and saas

This tutorial describes the different types of cloud computing services that wide via SaaS, ranging from horizontally useful tools such as customer relationship. Nov 28, We all have experienced cloud computing at some instant of time, some of SaaS or software as a service is a software distribution model in which . can easily use software like CRM (Customer Relationship Management). Sep 28, The rise of public cloud computing has enabled enterprises to use a wide assortment to use a software-as-a-service (SaaS) application to integrate a new planning (ERP) and customer relationship management (CRM). .. Features · Guides · Opinions · Photo Stories · Quizzes · Tips · Tutorials · Videos.

  • Why the Name Cloud?
  • Develop a standard way to create service level agreements that multiple partners can use
  • What is Cloud Computing?

Only the first three have relationships with one another regarding the terms and conditions in the SLAs. The data policies that consumers need to consider for inclusion in the cloud SLA when reviewing a cloud SLA are data preservation, redundancy, location, seizure and privacy. The business level policies that should be considered for inclusion in the SLA include guarantees, list of services not covered, excess usage, payment and penalty methods, subcontracted services, licensed software and industry specific standards.

Terms and conditions in the SLA depend on the complexity of control variables that the provider gives to the consumers. The only control the SaaS consumer end users has is to access the SaaS application, while the PaaS consumers developers have controls over the application development life cycle but not the virtual machines. The SLA for the IaaS is the most complex as the IaaS consumers infrastructure specialists have control over the virtual machines but not physical infrastructure.

Some examples of availability and response time metrics are: For this reason, the consumers should know in which country the data would be stored in the cloud. One country may prohibit certain privacy data from outside the country, while another country may allow external privacy data. They include what should be monitored and reported for example, load performance, application performanceand what should be metered.

They also include how rapid provisioning should be speed, testing, demand flexibility and how resource change should be managed. Then you need to understand how the disaster recovery plan will work when needed. The plan should define what service outage is, how unexpected incidents will be handled, and what actions to take when service disruption is prolonged. An exit clause should be part of every cloud SLA in case either the consumer or provider wants to terminate the relationship.

Best practices to develop SLAs for cloud computing – IBM Developer

The report provides a list of cloud metrics used to measure how well the tests are performing. Elasticity provisioning internal, agility, scaling up and down Throughput Response time Elasticity metrics include provisioning internal, agility, and scaling up and down.

Provisioning internal measures the time needed to bring up or drop a resource. Provisioning internal measures the time to bring up: A new instance resource on the IaaS A new instance of application server on the PaaS A new application instance online to meet increasing demand Agility measures how well the workload can be scaled and how well the system is provisioned to be as close to the needs of the workload as possible.

Throughput is the amount of work the cloud can do per unit time. Response time is the time between when a request is made by a user and when the response is received by the user. The user threshold level sets the maximum number of users concurrently accessing the application that consists of accepted or restructured service components decomposed from a legacy system. Storage virtualization is commonly used in storage area networks SANs. Server virtualization is the masking of server resources like processors, RAM, operating system etc, from server users.

The intention of server virtualization is to increase the resource sharing and reduce the burden and complexity of computation from users.

Virtualization is the key to unlock the Cloud system, what makes virtualization so important for the cloud is that it decouples the software from the hardware.

tutorial for understanding the relationship between cloud computing and saas

Usually hard disk has a lot more space than memory. Although virtual disks are slower than real memory, if managed properly the substitution works perfectly. Likewise, there is software which can imitate an entire computer, which means 1 computer can perform the functions equals to 20 computers.

Grid Computing Vs Cloud Computing When we switch on the fan or any electric device, we are less concern about the power supply from where it comes and how it is generated. The power supply or electricity that we receives at our home travels through a chain of network, which includes power stations, transformers, power lines and transmission stations.

Grid Computing is a middle ware to co-ordinate disparate IT resources across a network, allowing them to function as whole. It is more often used in scientific research and in universities for educational purpose.

Cloud Computing Tutorial for Beginners

For example, a group of architect students working on a different project requires a specific designing tool and a software for designing purpose but only couple of them got access to this designing tool, the problem is how they can make this tool available to rest of the students. To make available for other students they will put this designing tool on campus network, now the grid will connect all these computers in campus network and allow student to use designing tool required for their project from anywhere.

Cloud computing and Grid computing is often confused, though there functions are almost similar there approach for their functionality is different.

Let see how they operate- Cloud Computing Cloud computing works more as a service provider for utilizing computer resource Grid computing uses the available resource and interconnected computer systems to accomplish a common goal Cloud computing is a centralized model Grid computing is a decentralized model, where the computation could occur over many administrative model Cloud is a collection of computers usually owned by a single party.

tutorial for understanding the relationship between cloud computing and saas

A grid is a collection of computers which is owned by a multiple parties in multiple locations and connected together so that users can share the combined power of resources Cloud offers more services all most all the services like web hosting, DB Data Base support and much more Grid provides limited services Cloud computing is typically provided within a single organization eg: Amazon Grid computing federates the resources located within different organization.

Utility computing is a good source for small scale usage, it can be done in any server environment and requires Cloud Computing. Utility computing is the process of providing service through an on-demand, pay per use billing method. Based on the concept of utility computinggrid computing, cloud computing and managed IT services are based.

Cloud Computing Tutorial for Beginners

Through utility computing small businesses with limited budget can easily use software like CRM Customer Relationship Management without investing heavily on infrastructure to maintain their clientele base. Utility Computing Cloud Computing Utility computing refers to the ability to charge the offered services, and charge customers for exact usage Cloud Computing also works like utility computing, you pay only for what you use but Cloud Computing might be cheaper, as such, Cloud based app can be up and running in days or weeks.

Utility computing users want to be in control of the geographical location of the infrastructure In cloud computing, provider is in complete control of cloud computing services and infrastructure Utility computing is more favorable when performance and selection infrastructure is critical Cloud computing is great and easy to use when the selection infrastructure and performance is not critical Utility computing is a good choice for less resource demanding Cloud computing is a good choice for high resource demanding Utility computing refers to a business model Cloud computing refers to the underlying IT architecture Security concerns for Cloud Computing While using cloud computing, the major issue that concerns the users is about its security.

It protects the data from root kits and malware. As computing has expanded to different devices like hard disk drives and mobile phones, TCG has extended the security measures to include these devices. It provides ability to create a unified data protection policy across all clouds. Some of the trusted cloud services are Amazon, Box. The administrative staff of the cloud computing service could theoretically monitor the data moving in memory before it is stored in disk.

To keep the confidentiality of a data, administrative and legal controls should prevent this from happening. Using Cloud Computing for effective communication among staff. Reason for using Cloud Computing: Reducing the cost made after communication for 28, employees and to provide advance features and interface of e-mail services to their employees.

Best practices to develop SLAs for cloud computing

Royal mail group, a postal service in U. K, is the only government organization in U. K that serves over 24 million customers through its post offices and separate processing sites.

Its logistics systems and parcel-force worldwide handles around million parcel a year.

Introduction to Cloud - Cloud Computing Tutorial for Beginners - Cloud Certifications - Edureka

And to do this they need an effective communicative medium. They have recognized the advantage of Cloud Computing and implemented it to their system. It has shown an outstanding performance in inter-communication. Before moving on to Cloud system, the organization was struggling with the out-of-date software, and due to which the operational efficiency was getting compromised.

As soon as the organization switched on to Cloud System, employees were supplied with their new collaboration suite, giving them access to tools such as instant messaging and presence awareness. The employees got more storage place than on local server. The employees became much more productive. Looking to the success of Cloud Computing in e-mail services and communication.