Pseudorandom sets in grassmann graph have near-perfect expansion

K Subhash, D Minzer, M Safra - 2018 IEEE 59th Annual …, 2018 - ieeexplore.ieee.org
We prove that pseudorandom sets in the Grassmann graph have near-perfect expansion.
This completes the last missing piece of the proof of the 2-to-2-Games Conjecture (albeit …

[HTML][HTML] Quality assurance technologies of big data applications: A systematic literature review

S Ji, Q Li, W Cao, P Zhang, H Muccini - Applied Sciences, 2020 - mdpi.com
Big data applications are currently used in many application domains, ranging from
statistical applications to prediction systems and smart cities. However, the quality of these …

Software engineering for big data projects: Domains, methodologies and gaps

VD Kumar, P Alencar - … Conference on Big Data (Big Data), 2016 - ieeexplore.ieee.org
Context: Big data has become the new buzzword in the information and communication
technology industry. Researchers and major corporations are looking into big data …

A model-driven methodology for big data analytics-as-a-service

CA Ardagna, V Bellandi, P Ceravolo… - … congress on big …, 2017 - ieeexplore.ieee.org
The Big Data revolution has promised to build a data-driven ecosystem where better
decisions are supported by enhanced analytics and data management. However, critical …

Adding semantics to measurements: Ontology-guided, systematic performance analysis

A Klenik, A Pataricza - arXiv preprint arXiv:2112.11270, 2021 - arxiv.org
The design and operation of modern software systems exhibit a shift towards virtualization,
containerization and service-based orchestration. Performance capacity engineering and …

[PDF][PDF] Measurement-based performance evaluation of distributed ledger technologies

A Klenik - 2022 - repozitorium.omikk.bme.hu
The rapidly increasing number of online service users made the performance and scalability
of computer systems a high priority. Most systems are expected to exhibit a soft-realtime …

Informed and Assessable Observability Design Decisions in Cloud-native Microservice Applications

MC Borges, J Bauer, S Werner, M Gebauer… - arXiv preprint arXiv …, 2024 - arxiv.org
Observability is important to ensure the reliability of microservice applications. These
applications are often prone to failures, since they have many independent services …

Hyperscalability–the changing face of software architecture

I Gorton - Software Architecture for Big Data and the Cloud, 2017 - Elsevier
The scale of contemporary Internet-based systems, along with their rate of growth, is
daunting. Data repositories are growing at phenomenal rates, and new data centers hosting …

A fast and incremental development life cycle for data analytics as a service

CA Ardagna, V Bellandi, P Ceravolo… - … Congress on Big …, 2018 - ieeexplore.ieee.org
Big Data does not only refer to a huge amount of diverse and heterogeneous data. It also
points to the management of procedures, technologies, and competencies associated with …

Software Engineering for Big Data Systems

VD Kumar - 2017 - uwspace.uwaterloo.ca
Software engineering is the application of a systematic approach to designing, operating
and maintaining software systems and the study of all the activities involved in achieving the …