INTRODUCTION
Cloud computing is one of the new models of computing that is used to provide for the computing infrastructure. A good computing cloud data management system must satisfy the following goals like availability, scalability, elasticity, performance [1]. The cloud computing looks to satisfy the needs of various levels of clients and workloads. Hence a guaranteed contract between the service provider and the clients has been made known as the Service Level Agreement (SLA). Both the providers and consumers consider successful SLA management.
OBJECTIVE
The objective is to introduce a SLA based computing database from a consumer’s point of view. In [2] the authors have presented with an end-to-end framework that allows the SLA to be
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Scaling up involves making use of a bigger machine as the database server and scaling out is focused on replicating the data. To make use of the replicated data the snapshot of the database has to be taken for regular intervals of time. A trade-off occurs between the snapshot time and the size of the lo of transactions.
The SLA-based provisioning in [2] focus on the SLA metrics of the total transaction time more than the throughput of the database. Practically, the requirements of SLA vary between the types of application transactions.
The difference in the SLA is because of the different behaviours of the system resources. The framework helps the service provider to design specific action rules for the application to adapt to the scale in or scale out technique.
For the experimental evaluation in [2], the authors used MySQL proxy software, Lua scripting language, application server, web server and database server. These are hosted on a virtual machine. The experiment was conducted using the Berkeley Cloud-stone benchmark. The experiment is to evaluate the behaviour of the SLA based provisioning of database against the traditional method of monitoring the utilization mechanism. The authors configured two read/write ratios 50/50 and 80/20.Workload starts with 50 users and increases by 20 users at some fixed time. There are 4 rules to achieve dynamic provisioning and elasticity for the database tier in
We need to have a secure services and network and also it must be available sometime up to 24/7/365. To make sure that we are close to our Service level agreement (SLA) with our clients, we must check our performance to find the bottleneck. After identifying our bottlenecks we can plan and see what changes can improve our performance.
Cloud computing offers services to users based on on-demand self-service, broad network access, measured service, resource pooling and rapid elasticity; These characteristics promise a faster time for implementation, lower cost, superior scalability and a better end user satisfaction. These services are delivered in models known as Software As A service (SaaS), Platform As A Service (PAAS), and Infrastructure As A Service (IAAS). The first layer which is the Software As A service (SaaS) is the layer in which software applications are delivered to end users. Below is the Platform As A Service (PAAS) layer which offers a platform on which applications can be developed. The lowest layer is the Infrastructure As A Service (IAAS) layer, in this layer the physical servers and network infrastructure is offered as a service. These services can be deployed throughout the internet (Public Cloud Computing), on the intranet infrastructure, (Private Cloud Computing), in a shared community of private networks (Community Cloud Computing), or a hybrid of both (Hybrid Cloud Computing). The service deployment models are [8]:
(4) Platform as a Service - This offers a development environment as a service. You can use this technology to develop your own applications that run on the providers server.
Cloud Computing has been a buzz world in the past few years. The use of this technology increased considerably when we made huge progress in this domain, reducing the cost for everyone. Today, Cloud Computing is widely used all across the world by a lot of companies such as Microsoft, Facebook, Amazon, etc…
The introduction of cloud computing infrastructure has brought in many changes to the infrastructure of any IT organization. Cloud computing has become the latest and most advanced infrastructure service to date. More and more companies are migrating to cloud computing service as days go, as they provide more flexibility and scalability and user friendliness in many aspects of an IT infrastructure.
Off the many obstructions that an enterprise faces, the one that is of major concern is scalability. The humongous surge in the number of users has demanded for better utilities and upgrades. Enterprises had to inculcate scalability as a part of their vision, and those that did saved their fall. Such enterprises that dealt with scalability and had built in resources and requirements to do so have paved the way for startups and entrepreneurs.
IT departments and infrastructure providers are under increasing pressure to provide computing infrastructure at the lowest possible cost. In order to do this, the concepts of resource pooling, virtualization, dynamic provisioning, utility and commodity computing must be leveraged to create a public or private cloud that meets these needs. Cloud computing is a general term for anything that involves delivering hosted services over the Internet. This provides the smaller
For instance, the functionality of the involved enterprise applications ' components is combined and orchestrated into a composite, higher-level architecture and offered as a service to the customer by the cloud service provider (CSP). Components typically are connected to other components e.g. an application component runs on an operating system and connects to a database and external services. These composite applications rely on component-based modular architectures and are benefited from cloud properties such as high reliability, elasticity, scalability, flexibility, and high availability~cite{varia,buyya2009cloud}. Application provisioning enables the business users to access the cloud providers resources as required based on Service Level Agreement (SLA), Quality of Services (QoS), availability, and cost modelcite{ peiris2011c2tp, ahmed2013multi, yassa2013multi}. In such scenarios, the different components involved need to be managed, deployed, configured, their quality of service satisfied, and their communication with other components
Cloud service usage conditions are typically expressed in a contractual Service Level Agreement (SLA) between SoftArc
The current scenario in cloud computing has evolved from traditional need of cloud platforms as a single platform of data storage and virtual machines to Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). Due to growth in availability of number of cloud providers in the market, providers are facing intense pressure of competition for providing best prices and complement it with the best Quality of Service(QoS). QoS is dependent on various factors like latency, acceptance rate as well as reliability. Cloud providers must meet all these requirements and keeping the running costs as low as possible. The pattern of access to these services varies depending on the time of access.
Abstract- Distributed computing is turning into an undeniably mainstream undertaking model in which figuring assets are made accessible on-interest to the client as required. The exceptional quality suggestion of distributed computing makes new chances to adjust IT and business objectives. Distributed computing utilize the web advancements for conveyance of IT-Enabled capacities 'as an administration ' to any required clients i.e. through distributed computing we can get to anything that we need from anyplace to any PC without stressing over anything like about their stockpiling, cost, administration et cetera. In this paper I give a complete study on the inspiration elements of embracing distributed computing, audit the few cloud arrangement and administration models. It likewise investigate certain advantages of distributed computing over customary IT administration environment-including versatility, adaptability, lessened capital and higher asset usage are considered as selection explanations behind distributed computing environment. I additionally incorporate security, protection, and web reliance and accessibility as evasion issues.The later incorporates vertical adaptability as specialized test in cloud environment.
The major steps explained here are (1) Infrastructure as a Service, (2) Platform as a Service, and (3) Software as a Service.
As based on the cloud migration experience from an organization, the on-premises systems were used previously in SQL server but with the introduction and need of large sets of data the on-premises systems couldn’t handle so much of data and faced performance issues and slowness because of storage capacity shortage. To overcome this challenge, the organization started searching
The new generation of application platforms has changed not only the database production but also forever the enterprise software production, by combining an in-memory database machine, data processing and application server in a single server. Providing the capabilities of a huge data center in that single server. The speed, major efficiency improvements, low cost and directness are features that will build wide implementations. They solve the need for small applications to share data in a shared screen. This is the time for the developing apps and cloud storage to get together and provide businesses with the freedom to use the best resources out there.
The architectural design of implementation and Dataflow, ER diagrams and database approach is developed by Arun Teja.