Mobile Cloud Middleware: A New Service for Mobile Users

2017

Due to the advancement of cloud computing, mobile technologies are growing at a very high pace since cloud platforms provide their own resources to meet the needs of mobile users. However, the combination of cloud computing and mobile computing is created not only to consume remote services, extend the capabilities of mobile devices or profit from all the massive advantages of the cloud computing, but also to enable mobile users to exploit context information provided by their smartphones. Hence, context-aware systems offer entirely new opportunities for mobile cloud applications by means of collecting mobile users’ context data and adopting cloud services’ behaviors accordingly. In the previous paper [1], we introduced the detailed architecture for a middleware system, which can define a new interaction between a mobile client and different cloud providers. The current paper is an extension of the earlier one describing an improved version of the proposed middleware, which exploits...

2016

The widespread use of mobile devices such as smartphones and tablets is accompanied by an ever increasing market for mobile applications, including resource demanding services like speech-or face recognition, that formerly were restricted to stationary devices. But as mobile devices remain comparatively limited in terms of resources (e.g., computation, storage and battery life), current approaches for augmentation have advocated the integration of cloud servers as well as other nearby devices to provide scalable computation-and storage resources to mobile end users. A current solution is the so-called computation offloading, which is the most prominent strategy used in Mobile Cloud Computing (MCC) and its successor known as Mobile Edge Computing (MEC). While MCC and MEC are receiving increasing attention, current work is often not able to cope with the quickly and constantly changing context (e.g., intermittent connectivity) of mobile devices. Therefore, this paper presents the evaluation of CloudAware, a context-adaptive mobile middleware for MCC as well as MEC that supports automated context adaptation by linking the distribution features of mobile middleware with context-aware self-adaptation techniques. In particular, we present a system software infrastructure and a data mining process which facilitate the development of elastic, scalable and context-adaptive mobile applications and present their evaluation using real usage data provided by the Nokia Mobile Data Challenge (MDC) dataset.

2003

Current advances in portable devices, wireless technologies, and distributed systems have created a mobile computing environment that is characterized by a large scale of dynamism. Diversities in network connectivity, platform capability, and resource availability can significantly affect the application performance. Traditional middleware systems, like CORBA and DCOM, have achieved great success in dealing with the heterogeneity in the underlying hardware and software platforms, offering portability, and facilitating development of distributed applications. However, they are not prepared to offer proper support for addressing the dynamic aspects of mobile systems. Modern distributed applications need a middleware that is capable of adapting to environment changes and that supports the required level of quality of service. This paper represents the experience of several research projects related to next generation middleware systems. We first define middleware and indicate the major challenges in mobile computing systems. We then take a broader perspective and try to identify the main requirements for mobile middleware systems. Following this, we review the different categories of mobile middleware technologies and show their strength and weakness. We finally present a simples discussion on the surveyed work and provide a number of observations about the remaining issues.

2015

Due the fact that Mobile Cloud Computing (MCC) is a recent paradigm, it lacks tools and frameworks to model its architecture. Existing ADLs (Architectural Description Languages) do not support modelling Mobile Cloud Architecture (MCA), since the latter encompasses more complicated and rich architectural features -including contextual informationthan traditional applications. In this paper we propose a Framework that allows: 1Describing mobile Cloud applications architecture with the Mobile Cloud ADL (MC-ADL). 2Provides context-aware middleware Smart Cloud Gate to ensure contextual configuration of the mobile cloud application at runtime and contextual evolution of Mobile Cloud Application's architecture.

Mobile cloud computing is the combination of both cloud computing and mobile networks to bring benefits for mobile users, network operators, as well as cloud computing providers[1][2]. The main goal of MCC is to enable execution of rich mobile applications on mobile devices, with a rich user experience [3]. In the recent years, cloud computing has cultivated the outsourcing o f computing resources like IT infrastructures, service platforms, and software. With the emergence of ultra - fast 4G mobile networks and highly - featured smartphones and tablets, the prerequisites are now met for bringing cloud computing to the mobile domain . Future applications of mobile cloud computing will have an impact on almost all activities of our social and business life, and include, but are not limited to, mobile marketing, social networks, smart cities, health care, and business processes.

In recent years mobile applications and mobile devices are developing rapidly. With the growth of the mobile applications and cloud computing concepts, cloud computing has becoming a potential technology for mobile services. Mobile cloud computing integrates the cloud computing into mobile environment and overcomes the problems related to performance, environment and security. The paper presents the survey on mobile cloud computing applications, challenges, existing solutions and approaches to overcome the challenges.

da Fonseca/Cloud Services, Networking, and Management, 2015

Now days the market of mobile phone is growing at a very high speed. Every one has a mobile,tablet,fablet (tablet with calling facility).[1] Mobile user will reach 6.5 billion by the end of 2012,6.9 billion by the end of 2013.Together with an explosive growth of the mobile applications and emerging of cloud computing concept, mobile cloud computing (MCC) has been introduced to be a potential technology for mobile services. MCC integrates the cloud computing into the mobile environment and overcomes obstacles related to the performance (e.g., battery life, storage, and bandwidth), environment (e.g., heterogeneity, scalability, and availability), and security (e.g., reliability and privacy) discussed in mobile computing. This paper gives a information about mobile cloud computing application ,security, issues. The issues, existing solutions and approaches are presented.

Mobile Cloud Computing (MCC) is persuasive paradigm enabling users to have the benefit of the massive computation power and profuse network services ubiquitously with the support of remote cloud. MCC is emerging as the prime focus of next generation computing. One of the prime issues of MCC is to provide infrastructure support in terms of computing, seamless mobility, applications, middleware, network, user services, trust, security, and privacy. MCC is a convergent technology comprised of three foundation stone heterogeneous technologies, namely mobile computing, cloud computing, and networking. However, the wireless networks and mobile devices have to face many challenges due to the limited radio resources, battery power and communications capabilities, which may significantly impede the improvement of service qualities. This paper discusses the various challenges that are either caused or intensified by heterogeneity in providing infrastructure for next generation computing. Finally we outline open issues, which help in identifying new research directions in MCC.

Together with an explosive growth of the mobile applications and emerging of cloud computing concept, mobile cloud computing (MCC) has been introduced to be a potential technology for mobile services. MCC integrates the cloud computing into the mobile environment and overcomes obstacles related to the performance (e.g., battery life, storage, and bandwidth), environment (e.g., heterogeneity, scalability, and availability), and security (e.g., reliability and privacy) discussed in mobile computing. This paper gives a survey of MCC, which helps general readers have an overview of the MCC including the definition, architecture, and applications. The issues, existing solutions, and approaches are presented. In addition, the future research directions of MCC are discussed.

International Journal of Computer Applications, 2015

Mobile cloud computing (MCC) is the availability of cloud computing services in a mobile environment. By providing optimal services for mobile users MCC incorporates the elements of mobile networks and cloud computing. In mobile cloud computing, all the data and complicated computing modules can be processed in clouds and mobile devices do not need a powerful configuration like CPU speed, memory capacity etc. However, the mobile devices are facing up with many struggles in their resources (e.g., battery life, storage, and bandwidth) and communications (e.g., privacy, mobility and security). These challenges have great affect in the improvement of service qualities. In this paper, we discuss the overview of mobile cloud computing technology together with the architecture, applications, major characteristics, security issues, advantage and limitation and possibly solution.