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- research-articleJuly 2024
A reference architecture for serverless big data processing
Future Generation Computer Systems (FGCS), Volume 155, Issue CJun 2024, Pages 179–192https://doi.org/10.1016/j.future.2024.01.029AbstractDespite significant advances in data management systems in recent decades, the processing of big data at scale remains very challenging. While cloud computing has been well-accepted as a solution to address scalability needs, cloud configuration ...
Highlights- A Reference Architecture for Serverless Big Data Processing.
- Introduction and Definition of Tensions in Current Serverless Data Processing Architectures.
- Implementation and Evaluation of a next-generation Serverless Data Processing ...
- ArticleNovember 2022
Non-disclosing Credential On-chaining for Blockchain-Based Decentralized Applications
AbstractMany service systems rely on verifiable identity-related information of their users. Manipulation and unwanted exposure of this privacy-relevant information, however, must at the same time be prevented and avoided. Peer-to-peer blockchain-based ...
- ArticleNovember 2021
Trustworthy Pre-processing of Sensor Data in Data On-Chaining Workflows for Blockchain-Based IoT Applications
AbstractPrior to provisioning sensor data to smart contracts, a pre-processing of the data on intermediate off-chain nodes is often necessary. When doing so, originally constructed cryptographic signatures cannot be verified on-chain anymore. This exposes ...
- ArticleNovember 2021
Application-Platform Co-design for Serverless Data Processing
Abstract“Application-platform co-design” refers to the phenomenon of new platforms being created in response to changing application needs, followed by application design and development changing due to the emergence (and the specifics, limitations) of ...
- research-articleJune 2020
A secure and extensible blockchain-based data provenance framework for the Internet of Things
Personal and Ubiquitous Computing (PUC), Volume 28, Issue 1Pages 309–323https://doi.org/10.1007/s00779-020-01417-zAbstractAs data collected and provided by Internet of Things (IoT) devices power an ever-growing number of applications and services, it is crucial that this data can be trusted. Data provenance solutions combined with blockchain technology are one way to ...
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- research-articleMarch 2020
Towards application-layer purpose-based access control
- Frank Pallas,
- Max-R. Ulbricht,
- Stefan Tai,
- Thomas Peikert,
- Marcel Reppenhagen,
- Daniel Wenzel,
- Paul Wille,
- Karl Wolf
SAC '20: Proceedings of the 35th Annual ACM Symposium on Applied ComputingMarch 2020, Pages 1288–1296https://doi.org/10.1145/3341105.3375764In this paper, we propose an architecturally novel approach to implementing purpose-based access control in practice. Different from previous proposals, our approach resides on the application instead of the data(base) layer. This allows for ...
- research-articleDecember 2019
An Evaluation of FaaS Platforms as a Foundation for Serverless Big Data Processing
UCC'19: Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud ComputingDecember 2019, Pages 1–9https://doi.org/10.1145/3344341.3368796Function-as-a-Service (FaaS), offers a new alternative to operate cloud-based applications. FaaS platforms enable developers to define their application only through a set of service functions, relieving them of infrastructure management tasks, which ...
- research-articleOctober 2019
Blockchain-based Data Provenance for the Internet of Things
IoT '19: Proceedings of the 9th International Conference on the Internet of ThingsOctober 2019, Article No.: 15, Pages 1–8https://doi.org/10.1145/3365871.3365886As more and more applications and services depend on data collected and provided by Internet of Things (IoT) devices, it is of importance that such data can be trusted. Data provenance solutions together with blockchain technology are one way to make ...
- bookJuly 2018
Cloud Service Benchmarking: Measuring Quality of Cloud Services from a Client Perspective
Cloud service benchmarking can provide important, sometimes surprising insights into the quality of services and leads to a more quality-driven design and engineering of complex software architectures that use such services. Starting with a broad ...
- ArticleJune 2018
A Research Perspective on Fog Computing
Service-Oriented Computing – ICSOC 2017 WorkshopsNov 2017, Pages 198–210https://doi.org/10.1007/978-3-319-91764-1_16AbstractState-of-the-art applications are typically deployed on top of cloud services which offer the illusion of infinite resources, elastic scalability, and a simple pay-per-use billing model. While this is very convenient for developers, it also comes ...
- ArticleNovember 2017
Trustless Intermediation in Blockchain-Based Decentralized Service Marketplaces
AbstractService marketplaces promise an open platform for sellers and buyers of IT services. The marketplace design usually assumes that market functions, such as match-making, transaction settlement, and dispute resolution are performed by intermediaries ...
- ArticleNovember 2017
BenchFoundry: A Benchmarking Framework for Cloud Storage Services
AbstractUnderstanding quality of services in general, and of cloud storage services in particular, is often crucial. Previous proposals to benchmark storage services are too restricted to cover the full variety of NoSQL stores, or else too simplistic to ...
- ArticleApril 2017
Not ACID, not BASE, but SALT
CLOSER 2017: Proceedings of the 7th International Conference on Cloud Computing and Services ScienceApril 2017, Pages 755–764https://doi.org/10.5220/0006408207550764Traditional ACID transactions, typically supported by relational database management systems, emphasize database consistency. BASE provides a model that trades some consistency for availability, and is typically favored by cloud systems and NoSQL data ...
- research-articleApril 2017
Evidence-based security configurations for cloud datastores
SAC '17: Proceedings of the Symposium on Applied ComputingApril 2017, Pages 424–430https://doi.org/10.1145/3019612.3019654Cloud systems offer a diversity of security mechanisms with potentially complex configuration options. So far, security engineering has focused on achievable security levels, but not on the costs associated with a specific security mechanism and its ...
- bookMarch 2017
Cloud Service Benchmarking: Measuring Quality of Cloud Services from a Client Perspective
Cloud service benchmarking can provide important, sometimes surprising insights into the quality of services and leads to a more quality-driven design and engineering of complex software architectures that use such services. Starting with a broad ...
- doctoral_thesisJanuary 2017
Security trade-offs in Cloud storage systems / IT-Sicherheitszielkonflikte in Cloud-Speichersystemen
AbstractSecuring software systems, is of paramount importance today. This is especially true for cloud systems, as they can be attacked nearly anytime from everywhere over the Internet. Ensuring security in general, however, typically has a negative ...
- ArticleOctober 2015
Informed Schema Design for Column Store-Based Database Services
SOCA '15: Proceedings of the 2015 IEEE 8th International Conference on Service-Oriented Computing and Applications (SOCA)October 2015, Pages 163–172https://doi.org/10.1109/SOCA.2015.29While database schema options in relational database management systems are few and have been studied for decades, little effort has so far been devoted to NoSQL column stores. Today, schema design for column stores is still based on the gut feeling of ...
- ArticleMarch 2014
Benchmarking the Performance Impact of Transport Layer Security in Cloud Database Systems
IC2E '14: Proceedings of the 2014 IEEE International Conference on Cloud EngineeringMarch 2014, Pages 27–36https://doi.org/10.1109/IC2E.2014.48Cloud storage services and NoSQL systems are optimized for performance and availability. Hence, enterprise-grade features like security mechanisms are typically neglected even though there is a need for them with increased cloud adoption by enterprises. ...
- ArticleMarch 2014
Benchmarking Eventual Consistency: Lessons Learned from Long-Term Experimental Studies
IC2E '14: Proceedings of the 2014 IEEE International Conference on Cloud EngineeringMarch 2014, Pages 47–56https://doi.org/10.1109/IC2E.2014.37Cloud storage services and NoSQL systems typically guarantee only Eventual Consistency. Knowing the degree of inconsistency increases transparency and comparability, it also eases application development. As every change to the system implementation, ...