Qos Ranking Prediction Framework For Cloud Services

Whether it’s called Cloud Computing or On-demand Computing, Software as a Service, or the Internet as Platform, the common element is a shift in the geography of computation. When you create a spreadsheet with the Google Docs service, major components of the software reside on unseen computers, whereabouts unknown, possibly scattered across continents. This affects all levels of the computational ecosystem, from casual user to software developer, IT manager, even hardware manufacturer. Recently, a lot of vendors have started talking about “cloud computing” in their marketing materials. Citing a research published by Merrill Lynch entitled “The Cloud Wars: $100+ billion at stake,” Merrill Lynch has estimated a $160- billion addressable market opportunity, including $95- billion in business and productivity applications, and another $65-billion in online advertising for Cloud Computing. But the main question is whether the users are ready to give up using services on their local machines and shift to the Cloud since shifting to cloud computing has both advantages and disadvantages for all possible users; nevertheless, they may have different level of importance for different users

Once the internet became a viable medium for cloud-based computing, companies started offering applications to the masses. In early 2000’s, Amazon developed a cloud-based tool, Amazon Mechanical Turk, which offered cloud computing, data storage and artificial intelligence. Later, in 2006, Amazon released its second generation cloud services known as Elastic Compute Cloud (EC2) that allowed individuals and organizations to rent computing space to run all their computer applications and data storage needs. With EC2, Amazon had truly brought in to the concept of cloud computing. After that computer giants like Google, Microsoft and Apple began to offer affordable, useful applications for computers and smart devices that were able to on the cloud and not by the devises. Consequently, there are tens of thousands of such cloud-based applications available.

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.

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.

While the public cloud has many potential advantages there are several factors that affect the overall success of cloud computing. Customer is considering the migration of some workloads to a cloud provider, and they seek knowledge and experience with assessing the fit and feasibility of these applications.

Customers of cloud computing have shown their concerns about the incompatibility of switching their data from one cloud provider to another while cloud provider are ready to offer all their available services and resources to the cloud customers [3]. Particularly, the offered services are different for each a cloud provider where it comes up the problem of heterogeneity of services. Each provider develops its own services, solutions, and even some of them create a new APIs for their services. Consequently, the cloud customers have being limited to one specific cloud’s provider service format. According to [4], there are two consequences of this issue as (1) it gives the cloud provider the full power of controlling the market; (2) it may impact the consumer choices for a product. However, this issue may limit cloud computing environment growth by restricting the cloud services choices since the data will be kept locked-in in cloud computing bubble.

For cloud computing systems to function optimally, the individual components of the network of computing resources must function optimally. Thus, the importance of keeping track of the performance of these components is apparent. In addition to this, the providers of the cloud service need to

In the paper [3], the authors propose a way for consumers to measure the elasticity properties of different cloud platforms. The objective of the research is to help a consumer to measure and compare elasticity of cloud providers (e.g., how elastic is Amazon EC2 compared to Microsoft Azure) using the available information provided through cloud platform’s API. The authors defined the elasticity metrics based on financial penalties for over-provisioning and under-provisioning of the cloud resources. Over-provisioning is a state when a consumer is paying more than necessary for the allocated resources to support a workload while the costs for under-provisioning is the result of unacceptable latency or unmet

With such a tantalizing assortment of clouds to choose from—and the low barrier to entry—enterprises may consider trying them all, placing different workloads with different providers. But enterprises that go this route soon discover that the

Nowadays, with the development of technology, the demand for high speed computing for the computers increases significantly. Cloud computing is the most emphasized Information and Communications Technology (ICT) which can effectively implement high speed computing [1]. Most common products that people used in their daily life such as cloud drive and Google search are based on cloud computing, therefore it is necessary to

Cloud computing interestingly offers several types of services which can be provisioned by cloud providers. The offered cloud services by providers are apparently categorized into three main ones according to the National Institute of Standards and Technology (NIST) [1] and they are as follows:

Cloud computing was founded on already-existing computing technologies, such as distributed computing (Clusters, Grids), Internet technologies (Web Services, Service Oriented Architectures, Web 2.0), virtualization and systems management (autonomic computing, data centre automation) [11]. Specifically, with the advent of Cloud computing, the benefits of these technologies have been combined and further improved. Cloud basically presents a suitable environment for convenient, on-demand network access to a pool of configurable computing resources that can be mutually accessed and provisioned with insignificant administration effort or service provider interaction [1]. The optimal provisioning of these compute resources to meet certain predefined performance criteria is a complex problem which has attracted much research attention [12][13]. This problem comprise the steps involved in the allocation of suitable computing resources to tasks with the aim of optimizing certain objectives. Some objective functions include but not limited to; maximizing task throughput, minimizing the time of task completion and maximizing the utilization of resources.

Abstract—Cloud services play an important role in IT industries and enable the access of infrastructure and application services on a subscription basis. As a result, several enterprises have started to offer different cloud services to their customers. Due to the vast diversity in the available cloud services, from the customer’s

Business applications have dependably been excessively extravagant. They oblige a datacenter which offers which offers space, power, cooling, bandwidth, networks, entangled programming stack and servers and storage and a team of experts to install, configure and run them. We need development, staging, testing, production and failure environments and when another adaptation comes up, we need to upgrade and then the entire framework is down.

Today’s online services such are social networking, web search, etc. are based on massive working sets, real-time constraint and high level of parallelism. To simulate real-world online services in the field of cloud and data-centric computing Cloud Suite [11] is a widely used benchmark. It covers a wide range of application categories in today’s data centre i.e. media streaming, data serving, etc. Cloud Suite provides an effortless way to deploy benchmark into public and private cloud system using Docker containers. It is also integrated with Google Perfkit Benchmark.