Opportunities and challenges in running scientific workflows on the cloud
Cloud computing is gaining tremendous momentum in both academia and industry. The
application of Cloud computing, however, has mostly focused on Web applications and …
application of Cloud computing, however, has mostly focused on Web applications and …
A survey on provenance: What for? What form? What from?
M Herschel, R Diestelkämper, H Ben Lahmar - The VLDB Journal, 2017 - Springer
Provenance refers to any information describing the production process of an end product,
which can be anything from a piece of digital data to a physical object. While this survey …
which can be anything from a piece of digital data to a physical object. While this survey …
Developing and operating time critical applications in clouds: the state of the art and the SWITCH approach
Cloud environments can provide virtualized, elastic, controllable and high quality on-
demand services for supporting complex distributed applications. However, the engineering …
demand services for supporting complex distributed applications. However, the engineering …
Enabling scalable scientific workflow management in the Cloud
Cloud computing is gaining tremendous momentum in both academia and industry. In this
context, we define the term “Cloud Workflow” as the specification, execution and provenance …
context, we define the term “Cloud Workflow” as the specification, execution and provenance …
Time‐critical data management in clouds: Challenges and a Dynamic Real‐Time Infrastructure Planner (DRIP) solution
The increasing volume of data being produced, curated, and made available by research
infrastructures in the environmental science domain require services that are able to …
infrastructures in the environmental science domain require services that are able to …
A service framework for scientific workflow management in the cloud
Cloud computing is an emerging computing paradigm that can offer unprecedented
scalability and resources on demand, and is getting more and more adoption in the science …
scalability and resources on demand, and is getting more and more adoption in the science …
On optimizing the trade-off between privacy and utility in data provenance
Organizations that collect and analyze data may wish or be mandated by regulation to justify
and explain their analysis results. At the same time, the logic that they have followed to …
and explain their analysis results. At the same time, the logic that they have followed to …
Satisfiability analysis of workflows with control-flow patterns and authorization constraints
Workflow security has become increasingly important and challenging in today's open
service world. While much research has been conducted on various security issues of …
service world. While much research has been conducted on various security issues of …
Implementing efficient data compression and encryption in a persistent key-value store for HPC
Recently, persistent data structures, like key-value stores (KVSs), which are stored in a high-
performance computing (HPC) system's nonvolatile memory, provide an attractive solution …
performance computing (HPC) system's nonvolatile memory, provide an attractive solution …
OPQL: A first OPM-level query language for scientific workflow provenance
C Lim, S Lu, A Chebotko… - 2011 IEEE International …, 2011 - ieeexplore.ieee.org
Provenance, which is one kind of metadata that captures the derivation history of a data
product, including its original data sources, intermediate products, and the steps that were …
product, including its original data sources, intermediate products, and the steps that were …