Resource Management Strategies for Mobile Web-Based Services

This paper is proposed to investigate Web Services (WSs) performance on nomadic device like the Apple iPod touch. Because of the reduced capabilities of the mobile devices, clients residing in these terminals should be as simple as possible. So, we propose to move part of the business logic to an intermediate service provider. A WS can share a conceptual functionality between various WS, although they could be implemented in different locations and with different characteristics. A WS provider makes the mobile client independent of the implementation details as well as of their availability. A WS basically developed using two methods SOAP and REST. In this paper we measured the performance of these two Web Service's on the mobile device and analyzed which is efficient.

2013

Mobile devices and server application run on different platforms, which can make integration problematic. The web services is the best solution for this problem because it provides distributed functionalities which are independent of the hardware platform, the operating system and programming languages. But the web services include XML protocols that are heavy for mobile devices .Moreover the overhead involved in XML processing presents a huge problem for mobile devices because of the mobile environment's constraints. To adapt web service to mobile devices using proxy-based content adaptation system based on dynamic process selection .This system also offers dynamic content adaptation. In dynamic content adaptation, the system gathers characteristics of user's device, call context or device profile, and adapt the content accordingly. The proxy-based content adaptation system eliminates XML processing on mobile devices and adapts the content from web service to be more suitable for mobile environment. So the proposed system can minimize computational load on client and server that lead to improve response time. Moreover, the system can remove SOAP-message transferring over wireless links that can lessen the transferred data rate over connection.

International Journal of Advanced Computer Science and Applications, 2014

For many years mobile devices were commonly recognized as Web consumers. However, the advancements in mobile device manufacturing, coupled with the latest achievements in wireless communication developments are both key enablers for shifting the role of mobile devices from service consumers to service providers. This paradigm shift is a major step towards the realization of pervasive and ubiquitous computing. Mobile Web service provisioning is the art of hosting and offering Web services from mobile devices, which actively contributes towards the direction of Mobile Internet. In this paper, we provide the state of the art of mobile service provisioning as it currently stands. We focus our discussions on its applicability, reliability, and challenges of mobile environments and resource constraints. We study the different provisioning architectures, enabler technologies, publishing and discovery mechanisms, and maintenance of up-to-date service registries. We point out the major open research issues in each provisioning aspect. Performance issues due to the resource constraints of mobile devices are also discussed.

Proceedings of the second ACM SIGCOMM workshop on Mobile cloud computing - MCC '13, 2013

Mobile Web page loads are notoriously slow due to limited computing power and slow network access. Our preliminary experiments show that computation is a significant fraction of page load time on mobile devices. Also, energy arguments suggest that it will stay this way. To compensate the limited computing power, our position is that offloading portions of the page load process to the cloud can significantly improve mobile page load time. We propose a measurement-based framework that allows to offload portions of mobile page load process to the cloud. Unlike browsers that offload fixed parts of page loads such as Opera Mini, our framework will allow to offload any portion of the page load process. We will experiment with a large variety of real-world situations (e.g., varying computing power on mobile devices) by offloading varying portions of page loads using our framework. Informed by the experimental results, we will develop a mobile browser that considers the diverse situations as well as energy and data usage.

2007

Abstract Personalized services are a key feature for the success of the next generation Web that is accessed by heterogeneous and mobile client devices. The need to provide high performance and to preserve user data privacy opens a novel dimension in the design of infrastructures and request dispatching algorithms to support personalized services for the Mobile Web. Performance issues are typically addressed by distributed architectures consisting of multiple nodes.

2007

Personalized services are a key feature for the success of the next generation Web that is accessed by heterogeneous and mobile client devices. The need to provide high performance and to preserve user data privacy opens a novel dimension in the design of infrastructures and request dispatching algorithms to support personalized services for the Mobile Web. Performance issues are typically addressed by distributed architectures consisting of multiple nodes. Personalized services that are often based on sensitive user information may introduce constraints on the service location when the nodes of the distributed architecture do not provide the same level of security. In this paper, we propose an infrastructure and related dispatching algorithms that aim to combine performance and privacy requirements. The proposed scheme may efficiently support personalized services for the Mobile Web especially if compared with existing solutions that separately address performance and privacy issues. Our proposal guarantees that up to the 97% of the requests accessing sensitive user information are assigned to the most secure nodes with limited penalty consequences on the response time.

2011

Web services are going mobile. A Mobile Enterprise can be established in a cellular network by participating Mobile Hosts, which act as web service providers, and their clients. Mobile Hosts enable seamless integration of userspecific services to the enterprise, by following web service standards, also on the radio link and via resource constrained smart phones. However, establishing such a Mobile Enterprise poses several technical challenges, like the quality of service (QoS) and discovery aspects, for the network and as well as for mobile phone users. The paper summarizes the challenges and research in this domain, along with our developed mobile web service mediation framework (MWSMF). However, to scale Mobile Enterprise to the loads possible in cellular networks, we shifted some of its components to the new utility computing paradigm, cloud computing. The cloud based load balancing for the Mobile Enterprise can be provided at the middleware framework level or at the individual services level. This paper described both the approaches, with two Mobile Host application scenarios, in collaborative m-learning and multimedia services domains. The analysis concludes that MWSMF and its components are horizontally scalable, thus allowing to utilize elasticity of cloud platform to meet load requirements of Mobile Enterprise in an easy and quick manner.

this paper examines the fundamental limitation of adaptation based methods in the presence of unpredictability and instability in wireless network bandwidth, server loads, and usage patterns. We argue that existing adaptation based methods will fail to produce good application response time given such unpredictability and instability, because they require somehow accurate prediction on resource conditions and usage patterns in order to perform effectively. We propose a new, simple yet powerful, replicated client-server model which overcomes this fundamental problem of unpredictability and instability; at the same time, it can also achieve nearly as good application response time as any adaptation methods. The basic idea behind replicated client-server model is simple -application execution is replicated on both client and server, and the faster result is returned to the user. It provides the benefit of faster response time at the cost of computational overhead in replicating executions on both client and server. In other words, it is about trading off more computing resource with better application response time and user experience. As computing resource continues to be improved exponentially (according to Moore's laws) in speed, capacity, price and abundance, we believe that improvement in user experience becomes appealing tradeoff for the computational overhead in replicating execution.

Personalized services are a key feature for the success of the next generation Web that is accessed by heterogeneous and mobile client devices. The need to provide high performance and to preserve user data privacy opens a novel dimension in the design of infrastructures and request dispatching algorithms to support personalized services for the Mobile Web. Performance issues are typically addressed by distributed architectures consisting of multiple nodes. Personalized services that are often based on sensitive user information may introduce constraints on the service location when the nodes of the distributed architecture do not provide the same level of security. In this paper, we propose an infrastructure and related dispatching algorithms that aim to combine performance and privacy requirements. The proposed scheme may efficiently support personalized services for the Mobile Web especially if compared with existing solutions that separately address performance and privacy issues. Our proposal guarantees that up to the 95% of the requests accessing sensitive user information are assigned to the most secure nodes with limited penalty consequences on the response time.