Call for Papers

Even though computing devices are becoming more powerful with new technological advances, they can hardly keep up with resource-hungry applications that require large amounts of CPU power, memory and battery. Computation offloading can help to augment the computational capabilities beyond the boundaries of a local device by distributing the workload to remote computing resources. However, as soon as a task leaves the local device, it is exposed to varying network conditions and is likely to face a heterogeneous resource pool. Mobile cloud computing (MCC) was introduced to provide reliable computing power at scale in a pay-per-use manner. Despite all its advantages, MCC might bring along considerable network latencies, deployment costs, and privacy concerns. Mobile edge computing (MEC) can be considered an alternative to MCC as it makes use of distributed edge servers in proximity which reduces communication latencies and enhances privacy. Ad-hoc computing makes opportunistic use of sporadically available resources which even might be unreliable end-user devices. This paradigm facilitates a better resource utilization, new resource sharing opportunities, and highly decentralized architectures but introduces a new level of complexity in terms of resource management, scheduling decisions, and fault tolerance.

In this workshop, we plan to bring together researchers and users with expertise in distributed computing, mobile cloud computing, and mobile edge computing. We particularly encourage researchers who are at any stage of the design or implementation process for computation offloading architectures to share their current state of work. We envision to foster a lively discussion on opportunities, solutions, and pitfalls which have been disclosed in the process of designing and implementing an offloading architecture or parts of it. Thus, in addition to presentations of technical papers, the workshop will provide time to discuss results and experiences in a guided discussion session. A keynote will provide insights from implementing computation offloading architectures and conducting experiments in the real-world scenarios.

Topics of interest include but are not limited to:


  • Computation Offloading

  • Mobile Cloud Computing

  • Mobile Edge Computing

  • Fog Computing

  • Ad-hoc Computing

  • Architectures and Middleware for Computation Offloading

  • Fault Tolerance for Computation Offloading

  • Standards and Frameworks for Computation Offloading

  • Privacy and Security Issues in Computation Offloading

  • Algorithms and Techniques for Computation Offloading

  • Incentives and Social Networks for Computation Offloading

  • Human Factors in Computation Offloading

  • Resource Management for Computation Offloading

  • Programming Models for Computation Offloading

  • Real-Time Applications for Computation Offloading

  • Latency Issues in Computation Offloading

  • Energy-Awareness in Computation Offloading

  • Internet of Things and Computation Offloading

  • Sensor Networks and Computation Offloading

  • Sustainability in Computation Offloading


All workshop papers undergo a thorough peer review process prior to the final decision and publication. All submissions will be anonymized to ensure a fair reviewing process and papers will be selected based on their originality, merit, and relevance to the workshop. Each paper will be assigned up to three independent reviewers from the program committee. All accepted papers must be presented during the workshop.