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Efficient Mobile Clouds: Forecasting the Future Connectivity of Mobile and IoT Devices to Save Energy and Bandwidth

Procedia computer science 2019年 155卷 121-128页

作者： Gabriel Orsini Wolf Posdorfer Winfried Lamersdorf Distributed Systems Group Department of Computer Science University of Hamburg Germany

Use cases in the Internet of Things (IoT) and in mobile clouds often require the interaction of one or more mobile devices with their infrastructure to provide users with services. Ideally, this interaction is based on a reliable connection between the communicating devices, which is often not the case. Since most use cases do not adequately address this issue, service quality is often compromised. Aimed to address this issue, this paper proposes a novel approach to forecast the connectivity and bandwidth of mobile devices by applying machine learning to the context data recorded by the various sensors of the mobile device. This concept, designed as a microservice, has been implemented in the mobile middleware CloudAware, a system software infrastructure for mobile cloud computing that integrates easily with mobile operating systems, such as Android. We evaluate our approach with real sensor data and show how to enable mobile devices in the IoT to make assumptions about their future connectivity, allowing for intelligent and distributed decision making on the mobile edge of the network.

关键词： Mobile Clouds Internet of Things Context Awareness Context Forecast

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Generic Context Adaptation for Mobile Cloud Computing Environments

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Procedia computer science 2016年 94卷 17-24页

作者： Gabriel Orsini Dirk Bade Winfried Lamersdorf Distributed Systems Group Department of Computer Science University of Hamburg Germany

Markets for mobile applications offer myriads of apps ranging from simple to quite demanding ones. The latter are on the rise since every new generation of smartphones is equipped with more resources (CPU, memory, bandwidth, energy) to even allow resource-demanding services like speech- or face recognition to be executed locally on a device. But compared to their stationary counterparts, mobile devices remain comparatively limited in terms of resources. Because of this, current approaches aim at extending mobile device capabilities with computation and storage resources offered by cloud services or other nearby devices. This paradigm, known as Mobile Cloud Computing (MCC), is challenged by the dynamically changing context of mobile devices, which developers are required to take into account to decide, e.g., which application parts are when to offload. To rise to such and similar challenges we introduce the concept of Generic Context Adaptation (GCA), a data mining process that facilitates the adaptation of (mobile) applications to their current and future context. Moreover, we evaluate our approach with real usage data provided by the Nokia Mobile Data Challenge (MDC) as well as with CloudAware , a context-adaptive mobile middleware for MCC that supports automated context-aware self-adaptation techniques.

关键词： Mobile Cloud Computing Mobile Edge Computing Context Adaptation Context Awareness

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Context-Aware Computation Offloading for Mobile Cloud Computing: Requirements Analysis, Survey and Design Guideline

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Procedia computer science 2015年 56卷 10-17页

作者： Gabriel Orsini Dirk Bade Winfried Lamersdorf Distributed Systems Group Department of Computer Science University of Hamburg Germany

Along with the rise of mobile handheld devices the resource demands of respective applications grow as well. However, mobile devices are still and will always be limited related to performance (e.g., computation, storage and battery life), context adaptation (e.g., intermittent connectivity, scalability and heterogeneity) and security aspects. A prominent solution to overcome these limita- tions is the so-called computation offloading, which is the focus of mobile cloud computing (MCC). However, current approaches fail to address the complexity that results from quickly and constantly changing context conditions in mobile user scenarios and hence developing effective and efficient MCC applications is still challenging. Therefore, this paper first presents a list of re- quirements for MCC applications together with a survey and classification of current solutions. Furthermore, it provides a design guideline for the selection of suitable concepts for different classes of common cloud-augmented mobile applications. Finally, it presents open issues that developers and researchers should be aware of when designing their MCC-approach.

关键词： Mobile Cloud Computing Computation Offloading Context Awareness

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Rapid mobile development with ARC: Application framework for robust communications for disaster risk reduction and management 12

Rapid mobile development with ARC: Application framework for...

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12th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2016

作者： Santos, Jan Vincent Torres, Danah Veronica Villanoy, Monica Kathrina Festin, Cedric Angelo Doctor, John Norman Ocampo, Roel Networks and Distributed Systems Group Department of Computer Science University of the Philippines Philippines Computer Networks Laboratory Electrical and Electronics Engineering Institute University of the Philippines Philippines

ISBN: (纸本)9781509007240

In disaster situations communication and power infrastructure could be damaged, disrupting their associated services. This could delay relief efforts and cost more lives. In situations where connections are damaged and unreliable, peer-to-peer (P2P) and delay-tolerant networking (DTN) technologies can help provide alternative communication modes particularly in support of rescue and relief operations. Combining the benefits of the store-and-forward capability of DTN and the data propagation techniques of Wi-Fi Direct, we have created a flexible framework called ARC which allows users to create applications that could meet their specific requirements, particularly those in support of emergency communications. To demonstrate our framework, we created a simple application using ARC, and used this application to evaluate its DTN and Wi-Fi Direct group recovery capabilities. © 2016 IEEE.

关键词： Wireless local area networks (WLAN)

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Teaching clean code

Teaching clean code

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2018 Combined Workshops of the German Software Engineering Conference, SE-WS 2018

作者： Dietz, Linus W. Manner, Johannes Harrer, Simon Lenhard, Jörg Department of Informatics Technical University of Munich Germany Distributed Systems Group University of Bamberg Germany Department of Mathematics and Computer Science Karlstad University Sweden

Learning programming is hard - teaching it well is even more challenging. At university, the focus is often on functional correctness and neglects the topic of clean and maintainable code, despite the dire need for developers with this skill set within the software industry. We present a feedbackdriven teaching concept for college students in their second to third year that we have applied and refined successfully over a period of more than six years and for which received the faculty's teaching award. Evaluating the learning process within a semester of student submissions (n=18) with static code analysis tools shows satisfying progress. Identifying the correction of the in-semester programming assignments as the bottleneck for scaling the number of students in the course, we propose using a knowledge base of code examples to decrease the time to feedback and increase feedback quality. From our experience in assessing student code, we have compiled such a knowledge base with the typical issues of Java learners' code in the format of before/after comparisons. By simply referencing the problem to the student, the quality of feedback can be improved, since such comparisons let the student understand the problem and the rationale behind the solution. Further speed-up is achieved by using a curated list of static code analysis checks to help the corrector in identifying violations in the code swiftly. We see this work as a foundational step towards online courses with hundreds of students learning how to write clean code. © 2018 CEUR-WS. All rights reserved.

关键词： Students

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Automatic loop transformation selection with the Aid of kohonen's self-organizing maps for parallelizing compilers

Automatic loop transformation selection with the Aid of koho...

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2008 International Conference on parallel and distributed Processing Techniques and Applications, PDPTA 2008

作者： Mead, Mohamed Ahamed Eldeeb, Hesham Nassar, Salwa Computer Science Mathematics Department Faculty of Science Cairo University Cairo Egypt Computers and Systems Department Electronics Research Institute Dokki Giza Egypt Head of Parallel and Distributed Systems Team Computers and Systems Department Electronics Research Institute Dokki Giza Egypt

ISBN: (纸本)1601320841

Determine the appropriate loop transformations is an essential process in the automatic parallelization field. The sequence of loop transformation to be applied also must be considered. Selection of loop transformations faces many challenges, it is needed an experienced. In this paper, An Intelligent Loop Transformation Selector (ILTS);as a part of parallelizing tool project, was developed to overcome on these challenges and imitate an experienced. A Kohonen's Self-Organizing Map (SOM) neural network is used to select the appropriate loop transformation or sequence of them. Neural Networks offer intelligent transformations selection to reduce or eliminate the dependencies and maximize the parallelization in the sequential code. The experimental results show that ILTS chooses loop transformations successfully in most cases. This tool can be integrated with any parallelizing compiler to enhance loop transformation selection process.

关键词： Conformal mapping

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Performance and Scalability of GPU-Based Convolutional Neural Networks

Performance and Scalability of GPU-Based Convolutional Neura...

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Euromicro Conference on parallel, distributed and Network-Based Processing

作者： Daniel Strigl Klaus Kofler Stefan Podlipnig Distributed and Parallel Systems Group Institute of Computer Science University of Innsbruck Innsbruck Austria

In this paper we present the implementation of a framework for accelerating training and classification of arbitrary Convolutional Neural Networks (CNNs) on the GPU. CNNs are a derivative of standard Multilayer Perceptron (MLP) neural networks optimized for two-dimensional pattern recognition problems such as Optical Character Recognition (OCR) or face detection. We describe the basic parts of a CNN and demonstrate the performance and scalability improvement that can be achieved by shifting the computation-intensive tasks of a CNN to the GPU. Depending on the network topology training and classification on the GPU performs 2 to 24 times faster than on the CPU. Furthermore, the GPU version scales much better than the CPU implementation with respect to the network size.

关键词： Scalability Neural networks Cellular neural networks Optical character recognition software Acceleration Multilayer perceptrons Multi-layer neural network Pattern recognition Optical computing Optical fiber networks

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A Multi-Perspective Taxonomy for Systematic Classification of Grid Faults

A Multi-Perspective Taxonomy for Systematic Classification o...

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16th Euromicro Conference on parallel, distributed and Network-Based Processing (PDP 2008)

作者： Jurgen Hofer Thomas Fahringer Distributed and Parallel Systems Group Institute of Computer Science University of Innsbruck Innsbruck Austria

Classification turns chaotic knowledge into regularity by systematizing a domain and providing a common vocabulary. Currently there is a lack of systematic and comprehensive studies in organization and classification of Grid faults. We address this gap with a multi-perspective Grid fault taxonomy describing an incident using eight different characteristics. It is hard to define a taxonomy of broad validity and acceptance that satisfies the vast number of requirements of the many Grid user communities. Nevertheless we proof that our taxonomy can serve as a solid basis for defining project-specific custom classification schemes by giving a concrete example created for a state-of-the-art Grid middleware environment.

关键词： Taxonomy Ontologies Vocabulary Middleware Solids Concrete Error correction Security Web services Testing

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SDKV: A Smart and distributed Key-Value Store for the Edge-Cloud Continuum 23

SDKV: A Smart and Distributed Key-Value Store for the Edge-C...

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Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing

作者： Juan Aznar-Poveda Tobias Pockstaller Thomas Fahringer Stefan Pedratscher Zahra Najafabadi Samani Distributed and Parallel Systems Group Institute of Computer Science University of Innsbruck Innsbruck Austria

ISBN: (纸本)9798400702341

Many time-critical and data-intensive distributed applications for the computing continuum depend on low-latency, scalable, and highly available distributed key value storages. In this paper, we introduce SDKV, a scalable -Smart and distributed Key-Value- store for the Edge-Cloud continuum to automatically place data in close proximity to clients resulting in low response times. The clients of SDKV can influence data availability and access latency by specifying the number of replicas and the desired level of data consistency (strong or eventual) on a per key-value pair basis, which favors the support of a wide range of applications. Results reveal that for different workloads and client access behaviors, SDKV outperforms existing distributed data storages and their data placement algorithms by 12--69% for both consistency models. Moreover, the proposed placement algorithm of SDKV provides fast decision times and scales linearly with the number of keys.

关键词： distributed storage key-value storage data placement replica management edge-cloud continuum

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Access control policies enforcement in a cloud environment: Openstack 11

Access control policies enforcement in a cloud environment: ...

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11th International Conference on Information Assurance and Security, IAS 2015

作者： Ayache, Meryeme Erradi, Mohammed Freisleben, Bernd Networking and Distributed Systems Research Group ENSIAS Mohammed v University Rabat Morocco Department of Mathematics and Computer Science University of Marburg Germany

ISBN: (纸本)9781467387156

Cloud computing has become a widely used paradigm in many IT domains such as e-health. It offers several advantages to the users, e.g. elasticity, flexibility and the rapid sharing of a huge set of digital data. However, many security and privacy concerns still pose significant challenges. In particular, the most identified problem is how to enforce the user's security policy in the access control of the outsourced data. In fact, cloud environments does not provide facilities to support high level defined security policies. For instance, the swift storage component of openstack supports only fine grained access control to execute a specific action on a specific defined object. In this paper, we designed and implemented a middleware to provide high level security policies while using such swift fine grained primitives. An e-health collaborative application dedicated for remote diagnosis is used to illustrate the suggested approach. © 2015 IEEE.

关键词： Cloud storage

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