Mobile Cloud Computing And Evolution In The Mobile Industry

Cloud because of its wide range of applications it allows users to store data their data remotely in the cloud and enjoy the on-demand high quality cloud applications and reveal burden from the local storage, cost and maintenance. In this according to the user’s perspective, including both individuals (private) and enterprises like companies appealing the cloud benefits by storing data remotely into the cloud in a flexible on-demand manner and relief of the burden of storage management along with this he/she can also enjoy the universal data access which dependent geographical locations and avoidance of the capital expenditure, software, hardware and personnel management and maintenances and so on.

Cloud computing is an emerging model where users can gain access to their applications from anywhere through their connected devices. A simplified user interface makes the infrastructure supporting the applications transparent to users. The applications reside in massively-scalable data centers where compute resources can be dynamically provisioned and shared to achieve significant economies of scale. A strong service management platform results in near-zero incremental management costs when more IT resources are added to the cloud. The proliferation of smart mobile devices, high speed wireless connectivity, and rich browser-based Web 2.0 interfaces has made the network-based cloud computing model not only practical but

The advancement and affordability of mobile devices has resulted in the exponential prevalence of these devices. Cloud servers

This section of the article describes cloud computing as a group of computer systems connected over a public or private network that provides dynamically scalable infrastructure (equipment and software) for application, data and file storage. This means that the cloud can be easily modified to add or remove resources and infrastructure as needed. In continuing with the overview, the article notes that cloud computing is an innovative approach to traditional computing methods that can be utilized through the different cloud models.

In common usage, the term " cloud " is basically a metaphor for the Internet . Marketers have popularized the phrase " in the cloud " to refer to the software , platform and infrastructure that are sold " as a service" , ie remotely over the Internet . Typically , the seller has actual server energy-consuming products and services that host from a remote location , so the end user does not need to ; they can simply log on to the network without installing anything . The flagship model of cloud computing service , known as software as a service , platform as a service , and infrastructure as a service . Cloud services can be offered in a range of public,

Cloud computing is a combination of two new emerging information technology worlds. The motive of the mobile cloud computing concept is to make use of the computing power of the cloud environment and make it available to the mobile devices in order to solve the challenges in a mobile environment. In recently developed mobile cloud architecture, mobile devices can access cloud services either through ad-hoc mobile network or access points [9].

In this way, mobile computing has brought some major changes to the internet world; some of them include cloud computing, social media services and e-commerce. Cloud computing is a service through which users can compute data, use applications and save their data online on internet. This stored data and applications can be accessed anywhere anytime. For example, if a user saves some data online in cloud from home desktop and then finds a need to access while being on a trip, it can be easily accessed through mobile phone or laptop just by connecting to internet. Similarly, applications can be used while being mobile.

(Choi, Chung, and Yu 2013) [1] To use mobile device as a computing resource, temporary network disconnection caused by user mobility and various HW/SW faults causing service disruption should be considered. Also these issues must be resolved to support mobile users and to provide user requirements for services. Under the proposed scheduling, a mobile device is used as a resource for providing cloud services, faults caused from user mobility or other reasons are tolerated and user requirements for QoS are considered.

Internet of things enables embedded intelligence system and smart ways to present things then what they did before by increasing efficiency and reliability also presenting the optimized solutions in modern environment. Number of activities and applications on internet are commonly run by cloud computing. Cloud Computing provides a platform for developing, testing, deploying, maintaining n number of services for applications. Datacenters are considered as backbone of cloud computing. Datacenters are huge mass of data containing network of computers running on IP protocol suit, routers, switches, broadcast and monitoring equipments to transfer data between servers and outside world. For this datacenters need big amount of electricity, security and operational maintenance of applications on cloud. Datacenters are run by government agencies or various private companies such as The Amazon Web Services, Google App Engine and Microsoft’s Windows. People now-a-days only need fast data for

Abstract: Mobile devices have come a long way and their capabilities in terms of speed, raw computing capabilities, storage capacity and the applications that are real world end user friendly. The sale of mobile devices has seen a huge boom and is now surpassing those of PCs [1]. With this enormous use of smart phones across the world and as well as the introduction of cloud computing concept, Mobile Cloud computing or MCC has become the new paradigm in the world of mobile services. This paper will discuss the technology of MCC, applications and challenges faced.

This report will talk about Mobile Edge Computing (MEC) within the Radio Access Network (RAN). Although not a new concept, this report will explore why MEC is relevant for network applications and how it can be used to cope with the increasing demand of computing power from the cloud. It will also explore the potential application scenarios and the benefits it can bring in our everyday life.

Cloud Based resources are four types , they are Distant immobile cloud, proximity immobile computing entities, proximity mobile computing entity , hybrid . according to these four types of resources state of the art CMA approaches divided into four types like distant fixed, proximate fixed, proximate mobile and hybrid. Further these four subdivided into different categories. This paper also explains five decision factors , five performance limitation factors and CMA feasibility that significantly increases the quality and adaptability of future CMA solutions . decision factors used to decide whether to perform CMA or not are needed at design and implementation phases of next generation CMA approaches . They are Mobile devices, Contents, Augmentation Environment, User preferences and requirements, Cloud servers. Performances of varied CMA solutions is impacted by several factors like Heterogeneity, data volume, Round-Trip latency, Context Management and Processing, Service

Abstract - Network developing and Virtualization rising more and more in indoor Environment (POIs) can provide plenty of bandwidth and computing resources. At the same time people are suffering from the mobile device with limited resources. This leads to a novel local cloud computing paradigm in which mobile device can leverage nearby resources to facilitate task execution. Cloud computing is a computing resources such as processing, memory, and storage are not physically pres¬ent at the user’s location.

Cloud computing is a model for enabling ubiquitous (present everywhere), convenient, on-demand network access to a shared pool of configurable computing resources e.g., networks, servers, storage, applications, and services that can be rapidly provisioned and released with minimal management effort or service provider interaction [1]. Types of Cloud computing models are Public cloud, Private cloud and Hybrid

To assess a wide range of mobile cloud components such as processing elements, storage, networking, applications, Qudaider [40] test objective is to study the adaptability of the proposed MCC framework by investigating the effect of cloudlet deployments on the performance results of power and delay. Every test keeps going around 3600s or one hour in area of 800x800m. In each experiment, 500 human subjects are moving in the area of the simulator and each user sends a packet to the cloud with a rate of 0.1Hz using WiFi or cellular technology, which relies on upon available technology, in his