Ralf Klamma

Adaptive Computation Offloading from Mobile Devices into the Cloud

The inherently limited processing power and battery lifetime of mobile phones hinder the possible execution of computationally intensive applications like content-based video analysis or 3D modeling. Offloading of computationally intensive application parts from the mobile platform into a remote cloud infrastructure or nearby idle computers addresses this problem. This paper presents our Mobile Augmentation Cloud Services (MACS) middleware which enables adaptive extension of Android application execution from a mobile client into the cloud. Applications are developed by using the standard Android development pattern. The middleware does the heavy lifting of adaptive application partitioning, resource monitoring and computation offloading. These elastic mobile applications can run as usual mobile application, but they can also reach transparently remote computing resources. Two prototype applications using the MACS middleware demonstrate the benefits of the approach. The evaluation shows that applications, which involve complicated algorithms and large computations, can benefit from offloading with around 95% energy savings and significant performance gains compared to local execution only.

Learning As a Service: A Web-Based Learning Framework for Communities of Professionals on the Web 2.0

No wonder you activities are, reading will be always needed. It is not only to fulfil the duties that you need to finish in deadline time. Reading will encourage your mind and thoughts. Of course, reading will greatly develop your experiences about everything. Reading advances in web based learning icwl 2007 6th international conference edinburgh uk august 15 17 2007 revised papers lecture notes in computer science is also a way as one of the collective books that gives many advantages. The advantages are not only for you, but for the other peoples with those meaningful benefits.

The Web 2.0 Driven SECI Model Based Learning Process

Nonaka and his knowledge transformation model SECI revolutionized the thinking about organizations as social learning systems. He introduced technical concepts like hypertext into organizational theory. Now, after 15 years Web 2.0 concepts seem to be an ideal fit with Nonakas SECI approach opening new doors for more personal, dynamic, and social learning on a global scale. In this paper, we present an extended view of blended learning which includes the combination of formal and informal learning, knowledge management, and Web 2.0 concepts into one integrated solution, by discussing what we call the Web 2.0 driven SECI model based learning process.

PRIME—toward process-integrated modeling environments: 1

Research in process-centered environments (PCEs) has focused on project management support and has neglected method guidance for the engineers performing the (software) engineering process. It has been dominated by the search for suitable process-modeling languages and enactment mechanisms. The consequences of process orientation on the computer-based engineering environments, i.e., the interactive tools used during process performance, have been studied much less. In this article, we present the PRIME (Process Integrated Modeling Environments) framework which empowers method guidance through process-integrated tools. In contrast to the tools of PCEs, the process-integrated tools of PRIME adjust their behavior according to the current process situation and the method definitions. Process integration of PRIME tools is achieved through (1) the definition of tool models; (2) the integration of the tool models and the method definitions; (3) the interpretation of the integrated environment model by the tools, the process-aware control integration mechanism, and the enactment mechanism; and (4) the synchronization of the tools and the enactment mechanism based on a comprehensive interaction protocol. We sketch the implementation of PRIME as a reusable implementation framework which facilitates the realization of process-integrated tools as well as the process integration of external tools. We define a six-step procedure for building a PRIME-based process-integrated environment (PIE) and illustrate how PRIME facilitates change integration on an easy-to-adapt modeling level.

Mobile Community Cloud Computing: Emerges and Evolves

With the advent of mobile smart phones, new types of virtual communities arrived, i.e. mobile communities. Mobile communities, with respect to their IT needs, introduce new requirements compared to traditional online web communities. On the other hand, cloud computing is emerging as computing concept that promises provision of computational resources on demand and abstraction of technical details from the clients. We propose Mobile Community Cloud Platform (MCCP) as a cloud computing system that can leverage the full potential of mobile community growth. An analysis of the core requirements of common mobile communities is provided before we present the design of our cloud computing architecture that supports building and evolving of mobile communities.

Scaling up Learning for Sustained Impact

MOOCs have been a disruptive educational trend in the last months. Some MOOCs just replicate traditional teaching pedagogies, adding multimedia elements like video lectures. Others go beyond, trying to engage the massive number of participants by promoting discussions and relying on their contributions to the course. MOOC platforms usually provide some built-in social tools for this purpose, although instructors or participants may suggest others to foster discussions and crowdsourcing. This paper analyses the impact of two builtin (Q&A and forum) and three external social tools (Facebook, Twitter and MentorMob) in a MOOC on educational technologies. Most of the participants agreed on the importance of social tools to be in touch with their partners and share information related to the course, the forum being the one preferred. Furthermore, the lessons learned from the enactment of this MOOC employing social tools are summarized so that others may benefit from them.

Web-based learning with non-linear multimedia stories

Stories and story-telling are a cultural achievement of significant relevance, even in modern times. Since ancient times stories have served to entertain and teach mankind to “transmit” knowledge from generation to generation. Story-telling ranges from simple aural narrations to traditional inter-generational discourse and, in modern times, workflow-oriented organizational learning. Web-based systems are by nature well-suited to support learning from digital stories in communities of practice. Despite the potential of story-telling to foster knowledge sharing in communities its full power to stimulate community-based learning processes in yet only marginally exploited. Although there are many story-telling approaches, most of them are not suitable for non-linear story creation and consumption. In addition, most of these are not based on a well defined methodology that underpins the story development process. In this paper we present the implementation of a non-linear multimedia story-telling environment based on the movement oriented design (MOD) paradigm. Finally, using a media-theoretic approach, we utilize structural aspects of story telling and identify patterns related to successful non-linear multimedia stories.

Framework for Computation Offloading in Mobile Cloud Computing

The inherently limited processing power and battery lifetime of mobile phones hinder the possible execution of computationally intensive applications like content-based video analysis or 3D modeling. Offloading of computationally intensive application parts from the mobile platform into a remote cloud infrastructure or nearby idle computers addresses this problem. This paper presents our Mobile Augmentation Cloud Services (MACS) middleware which enables adaptive extension of Android application execution from a mobile client into the cloud. Applications are developed by using the standard Android development pattern. The middleware does the heavy lifting of adaptive application partitioning, resource monitoring and computation offloading. These elastic mobile applications can run as usual mobile application, but they can also use remote computing resources transparently. Two prototype applications using the MACS middleware demonstrate the benefits of the approach. The evaluation shows that applications, which involve costly computations, can benefit from offloading with around 95% energy savings and significant performance gains compared to local execution only.

Pattern-Based cross media social network analysis for technology enhanced learning in europe

It is extremely challenging to get an overview of the state-of-the-art in technology enhanced learning in Europe. Rapid technological and pedagogical innovations, constantly changing markets, a vivid number of small and medium enterprises, complex policy processes, ongoing political and societal debates on the pros and cons of technology enhanced leaning, combined with many languages and different cultures, make it almost impossible for people to be informed. We want to introduce the media base and the measure tools for pattern-based cross media social network analysis, created by the PROLEARN network of excellence in professional learning. The main goal of this endeavour is the reduction of complexity for actors in digital social networks by applying ideas from social software and already successful methods for complexity reduction, such as information visualization, social network analysis and pattern languages.

Evaluating Performance in Spatial Data Infrastructures for Geoprocessing

Effective and efficient Web services infrastructures for geoprocessing are essential for fields such as e-government and e-tourism. However, few model-based approaches exist that let researchers analyze and measure system implementation performance. The authors present a performance evaluation of a spatial data infrastructure (SDI) implementation based on common standards. The SDIs purpose is to compute groundwater vulnerability function. The authors study four influential performance issues: caching, network adaptation, data granularity, and communication mode