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Due to the hugeness of information stored in Webdatabases, an overload phenomenon is often comes across when looking for sought after data. This phenomenon arises for instance when users, for example potential mobile physicians searching for adequate health care institutions for their patients in emergency cases, submit queries to old-fashioned recommender systems. To overcome this problem, we propose...
To access the Internet, companies define a Service Level Agreement (SLA) with Internet Service Providers (ISPs). Nevertheless, the current Internet does not assure Quality of Service (QoS), what points toward the concept of network virtualization and software defined network (SDN) to support the Future Internet. Moreover, the initial parameters defined in SLAs may not withstand traffic changes, resulting...
Cloud computing is a key enabler for the development and deployment of large-scale IoT service platforms. The integration into such platforms of different sensing and actuating systems will imply the availability of many similar IoT services with common functionalities though with different QoS and cost. A cloud-based IoT platform can then benefit from implementing QoS-aware service selection algorithms...
The number of web services has been increased rapidly and thereby discovering the services in cloud computing has become a challenge for the service consumers. As a result, Service discovery and mapping have become even more challenging due to different service descriptions, conventions, heterogeneous types and features of Cloud services. Service discovery has been identified as a key activity for...
Context-Aware Recommender System aims to recommend items not only similar to those already rated with the highest score, but also that could combine the contextual information with the recommendation process. Existing context-aware Web services recommendation methods directly use context as a "filter" to discard services that may conflict with the current user's preference. However, the...
Traffic localisation is an important aspect of traffic management on the Internet. The caching of content and its distribution from localised servers is one mechanism that enables traffic localisation and reduces transit costs for network providers while enhancing service performance. However, personalized, dynamic user content is often un-cacheable due to its nature. As we move towards a world of...
Construction of Web service recommendation systems for users has become an important issue in service computing area. Content-based service recommendation is one category of recommendation systems. The system recommends services based on functionality of the services. Current content-based approaches use syntactic or semantic methods to calculate the similarity. However, syntactic methods are insufficient...
Reputation of Web service plays an important role in selecting the best service from massive services. Traditional approaches of measuring Web service reputation are based on all the historical ratings. Although these approaches are effective in the same context environment, they fail in obtaining accurate reputation measurement when users' context is different. In this paper, we propose a context-based...
Delay and Disruption Tolerant Networks (DTNs) have been proposed for challenging environments where the instability or lack of end-to-end paths is the rule rather than the exception. In this context, the principle of store-carry-and forward is used to sustain data sessions under intermittent connectivity, and data replication to increase the probability of on-time delivery. However, these techniques...
Time-frequency resource conversion (TFRC) is a recently proposed network resource allocation strategy. By exploiting user behavior, it withdraws spectrum resources strategically from connection(s) not focused on by the user, to relieve network congestion effectively. Aiming at supporting the exponentially increasing traffic volume, especially on-demand data services, in this work we propose TFRC-based...
The use of web services in the field of e-learning has increased, however, in view of the significant number of these services; proper selection is needed to improve their effectiveness and contribution. We propose in this paper a system of personalized web service recommendation during online training. The objective is to assist learners in their learning activities (individual exercises, group problem...
It is critical of self-adaptive software system to monitor all kinds of information in real-time and obtain relevant data of the system to make the system can adjust automatically when necessary. In order to cope with the current market needs and rapidly changing environment, and combine the Web services with self-adaptive software systems perfectly, we proposed a monitoring and prediction model for...
Recent advances in distributed resource-constrained systems have seen the rapid growth of interest for middleware exploitation especially in mobile cloud computing. The rapid advancement of mobile cloud computing has shown that there is a high demand for mobile cloud applications. Moreover, mobile cloud computing aims to ensure that mobile devices make the best use of cloud computing resources in...
The ability to manage quality of service (QoS) and to provide service differentiation has been very important in a wide range of computing environments [4], [3], [5]. In modern operating systems, multiple applications share processor cores and take turns to execute. Each application typically runs for a while before its CPU time-slice (allocated quantum) expires or the execution is blocked due to...
Clinical decision-support functions of telemedicine systems use patient's monitored clinical data to support treatment of outpatients. However, the quality of monitored clinical data may vary due to performance variations of technological resources inside a deployed telemedicine system. This paper discusses models to compute quality of clinical data affected by quality of service provided by technological...
Telemedicine applications provide many opportunities for improving health care in a variety of conditions, in particular for people living in remote or geographically isolated areas without fast access to doctors (“medical deserts”), such as some parts of Finland. In many applications, the technologies used are actually off-the shelf solutions for videoconferencing, in some cases even used in an Over...
The Internet of Things and the Web of Things have focused on context awareness as a central issue in defining complex autonomic systems that rely on various layers, including devices, communications and applications. The spread usage of mobile devices that allow users to generate and to access distributed data makes it extremely important to organize the forwarding and gathering of such data in a...
This paper proposes a methodical approach to improve the Quality of Service (QoS) evaluation in wireless and mobile networks. The approach uses the fuzzy logic tools and techniques to map the traditional QoS parameters into a unified value to quantify the QoS levels of these networks. Extensive simulation studies are conducted to examine the effectiveness of this method. The results show that our...
Despite strong consensus within the QoE community about the heavy influence of user expectations on quality perception and judgment, the actual integration of this factor in QoE assessment and modeling has been hitherto neglected. In this paper we demonstrate how to obtain data regarding individual users' expectations and model their QoE impact. Using two Web QoE studies as example, we show how expectation-related...
Service-oriented environments comprise a number of interconnected service providers and service consumers and are filled by vast numbers of services of various functionalities with different qualities. Finding the desirable services among others is a major problem for a typical user, who can optimize its performance by utilizing services with good qualities. This problem is sometimes addressed by...
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