Die
folgende
Liste ist lediglich eine Sammlung der möglichen Themen
für das Seminar. Themen in roter Farbe sind neue Themen. Seminarthemen können
auch von Studierenden
vorgeschlagen
werden. Die
genaue Festlegung der Themen und der Zeiten erfolgt in der
Vorbesprechung!
| Themenkatalog |
Themen |
| Serverless Computing | A decentralized framework for serverless edge cmputing in the IoT |
| On the FaaS Track: Buidling stateful distributed applications with serverless architectures | |
| Kalix: high performance microservices and APIs with no operations required | |
| eigr: A serverless runtime on the BEAM (stateful services) | |
| A practical declarative programming framework for serverless computing, by Shannon Joyner et al. | |
| lithops.cloud | |
| FaaSm: Lightweight isolation for efficient stateful serverless computing | |
| Backend as a Service (BaaS) | |
| Google cloud dataflow | |
| AWS glue | |
| google App Engine | |
| PyWren and numpywren | |
| ExCamera | |
| FaaSM: lightweight isolation for efficient stateful serverless computing | |
| notification services: AWS SNS, AWS SQS, etc. | |
| Interoperabilität | Interoperability in Internet of Things: Taxonomies and Open
Challenges |
| Semantic Interoperability | |
| Next generation service interface to achieve interoperability for distributed systems (NGSI) | |
| FIWARE: The open source platform for our smart digital future | |
| Formal foundations of serverless computing, by Abhinav Jangda et al. | |
| Cloud Integration Hubs: integrate data through batch, real-time and events over the Cloud | |
| Serverless Workflows | workflowpatterns.com |
| Apache Airflow | |
| Kubeflow | |
| MLFlow | |
| Fireworks dynamic workflow system | |
| Lithops workflow system | |
| Nextflow reactive workflow framework | |
| RADICAL-Cybertools: Building blocks for middleware for workflow systems | |
| Parsl: phython library for programming and executing data oriented workflows in parallel | |
| Flux: the workflow of workflows | |
| Serverless workflow: https://serverlessworkflow.io | |
| Apache Flink stateful functions | |
| Fogflow (NEC) | |
| Azzure IoT Edge | |
| Amazon Greengrass | |
| Workflows with Microsoft LogicApps | |
| Workflows with Azzure Durable Functions | |
| Workflows with Amazon StepFunctions | |
| Workflows with Google Cloud Composer | |
| Workflows with IBM Composer | |
| Workflows with Fission | |
| FaaS orchestration of parallel workflows, Gerard Paris, et al. | |
| Heterogeneous hierarchical workflow composition (Rosa Badia et al) | |
| Comparison of FaaS orchestration systems (by Pedro Garcia Lopez et al) | |
| In search of fast and efficient serverless DAG engine, by Benjamin Carver, et al. | |
| FunctionBench: A suite of workloads for serverless cloud function services | |
| Exploration of Workflow management Systems Emerging Features from Users Perspectives | |
| Specification and Implementation of Exceptions in Workflow Management Systems | |
| FaaSm: stateful serverless computing | |
| CRUCIAL: buillding stateful distributed applications with serverless architectures, by. Daniel Barcelona-Pons, et al. | |
| Cloudburst statful serverless computing | |
| Distributed Programming allgemein | Object-oriented choreographic programming, Saverio Giallorenzo et al. |
| REScala: Bridging between object-oriented and functional style in reactive applications | |
| A fault-tolerant programming model for distributed interactive applications | |
| Scheduling | Multiple workflow scheduling with offloading tasks to edge cloud |
| MCDS: AI augmented workflow scheduling in mobile edge cloud computing systems | |
| Addressing application latency requirements through edge scheduling | |
| Task offloading for mobile edge computing in software defined ultra-dense network | |
| Microservices scheduling model over heterogeneous cloud-edge environments as support for IoT applications | |
| Online job dispatching and scheduling in edge-clouds | |
| A data-replica placement strategy for IoT workflows in collaborative edge and cloud environments | |
| Dynamic scheduling for sotchastic edge-cloud computing environments using A3C learning and residual recurrent neural networks | |
| A task scheduling strategy in edge-cloud collaborative scenario based on deadline | |
| IoT-Edge without the cloud | Picasso: A lightweight edge computing platform |
| Incremental deployment and migration of geo-distributed situation awareness applications in the fog | |
| Tasklets: better than best-effort computing | |
| Adaptive extreme edge computing for wearable devices | |
| Memristors: from in-memory computing, deep learning acceleration, an spking neural networks | |
| Application development for neuromorphic computing | |
| Resource management | Resource managemeent in fog/edge computing: a survey on architectures, infrastructure, and algorithms |
| HUNTER: AI based holistic resource management for sustainable cloud computing | |
| Disaggregated datacenters | |
| LegoOS: a disseminated, distributed OS for Hardware Resource Disaggregration | |
| EdgeOS: an edge operating system | |
| Resource management approaches in fog computing: a comprehensive review | |
| ENORM: a framework for edge node resource management | |
| Resource management at the network edge: a deep reinforcement learning approach | |
| Connecting and managing a large number of of IoT devices: Azure IoT Hub | |
| Holistic resource managment for sustainable and reliable cloud computing | |
| Automated fine-grained cpu cap control in serverless computing platform | |
| Deadline-based dynmaic resource allocation and provisioning algorithms in fog-cloud environment | |
| A dynamic resource controller for a lambda architecture | |
| Amoeba: Qos-awareness and reduced resource usage of microservices with serverless computing | |
| Holistic resource management for sustainable and reliable cloud computing | |
| A holistic view on resource management in serverless computing environments | |
| Distributed and Local Storage | IBM cloud object storage project |
| Plasma object storage from apache arrow: local per-node cache | |
| Infinispan: cluster based caching | |
| RUCIO: scientific data management | |
| CRUCIAL distributed shared objects: https://github.com/danielBCN/crucial-dso | |
| Cassandra: a decentralized structured storage system | |
| dataClay: distributed data storage system | |
| Local-first software: your own data, in spite of the cloud | |
| Gaia-X: european-driven data-infrastructure for the computing contninuum | |
| Verschiedenes | Galaxy: open, web-based platform for accessible, reproducible, and transparent computational research (galaxyproject.org) |
| Towards a cognitive compute continuum: an architecture for ad-hoc self-managed swarms | |
| Roadmap for Edge AI | |
| 6G White Paper on Edge Intelligence | |
| A cloud-edge collabotation frarmework for cognitive service | |
| cloudevents and platforms that implement them for the edge/cloud continuum | |
| Swarm intelligence for the computing continuum | |
| Software, tools, and respositories for code mining (D3.1 from the Morphemic EU project) | |
| A survey on edge performance benchmarking, Blesso Varghese et al. | |
| New Directions in Cloud programming, A. Cheung et al | |
| Consistency analysis in Bloom: ca CALM and collected approach | |
| CAMEL: Cloud application modellling and execution language | |
| PLEDGER: benchmarking for the cloud | |
| Riotbench: an IoT benchmark for distributed stream processing systems. | |
| Unikraft OS toolki8t for lightweight OS images |
T. Fahringer, Institut für Informatik, Universität Innsbruck