Execution Environment for Process Defined in EPF

2018 ◽  
pp. 117-128
Author(s):  
Jeong Ah Kim
Keyword(s):  
Execution Environment

Towards a Standard for a Reliable Execution Environment for Security Protocols

2016 ◽  
Vol 2 (1) ◽  
pp. 78
Author(s):  
Mahalingam Ramkumar
Keyword(s):  
Information Systems ◽  
Full Advantage ◽  
Real World ◽  
Security Protocols ◽  
Low Complexity ◽  
High Integrity ◽  
Execution Environment ◽  
World Information ◽  
Digital Assets ◽  
Attack Models

Approaches for securing digital assets of information systems can be classified as active approaches based on attack models, and passive approaches based on system-models. Passive approaches are inherently superior to active ones. However, taking full advantage of passive approaches calls for a rigorous standard for a low-complexity-high-integrity execution environment for security protocols. We sketch broad outlines of mirror network (MN) modules, as a candidate for such a standard. Their utility in assuring real-world information systems is illustrated with examples.

iJob: an Internet-based job execution environment using asynchronous messaging

2005 ◽  
Vol 47 (8) ◽  
pp. 565-574 ◽  
Author(s):  
Rod Fatoohi ◽  
Nihar Gokhale ◽  
Suja Viswesan
Keyword(s):  
Execution Environment

SDD: A trusted display of FIDO2 transaction confirmation without trusted execution environment

2021 ◽  
Author(s):  
Peng Xu ◽  
Ruijie Sun ◽  
Wei Wang ◽  
Tianyang Chen ◽  
Yubo Zheng ◽  
...  
Keyword(s):  
Execution Environment ◽  
Trusted Execution Environment

IIoTEED: An Enhanced, Trusted Execution Environment for Industrial IoT Edge Devices

2017 ◽  
Vol 21 (1) ◽  
pp. 40-47 ◽  
Author(s):  
Sandro Pinto ◽  
Tiago Gomes ◽  
Jorge Pereira ◽  
Jorge Cabral ◽  
Adriano Tavares
Keyword(s):  
Industrial Iot ◽  
Execution Environment ◽  
Trusted Execution Environment

An execution environment as a service for adaptive long-running workflows

2021 ◽  
Vol 17 (2) ◽  
pp. 117-139
Author(s):  
Milton Secundino de Souza-Júnior ◽  
Nelson Souto Rosa ◽  
Fernando Antônio Aires Lins
Keyword(s):  
Current Data ◽  
Delivery Mode ◽  
Insurance Company ◽  
Business Rules ◽  
Content Type ◽  
State Management ◽  
Adaptive Capabilities ◽  
Execution Environment ◽  
Cloud Elasticity ◽  
Computational Resources

Purpose This paper aims to present Long4Cloud (long-running workflows execution environment for cloud), a distributed and adaptive LRW execution environment delivered “as a service” solution. Design/methodology/approach LRWs last for hours, days or even months and their duration open the possibility of changes in business rules, service interruptions or even alterations of formal regulations of the business before the workflow completion. These events can lead to problems such as loss of intermediary results or exhaustion of computational resources used to manage the workflow execution. Existing solutions face those problems by merely allowing the replacement (at runtime) of services associated with activities of the LRW. Findings LONG4Cloud extends the previous works in two main aspects, namely, the inclusion of dynamic reconfiguration capabilities and the adoption of an “as a service” delivery mode. The reconfiguration mechanism uses quiescence principles, data and state management and provides multiple adaptive strategies. Long4Cloud also adopts a scenario-based analysis to decide the adaptation to be performed. Events such as changes in business rules or service failures trigger reconfigurations supported by the environment. These features have been put together in a solution delivered “as a service” that takes advantage of cloud elasticity and allows to better allocate cloud resources to fit into the demands of LRWs. Originality/value The original contribution of Long4Cloud is to incorporate adaptive capabilities into the LRW execution environment as an effective way to handle the specificities of this kind of workflow. Experiments using current data of a Brazilian health insurance company were carried out to evaluate Long4Cloud and show performance gains in the execution of LRWs submitted to the proposed environment.

Trusted Execution Environment

2020 ◽  
pp. 681-743
Author(s):  
Jiewen Yao ◽  
Vincent Zimmer
Keyword(s):  
Execution Environment ◽  
Trusted Execution Environment

AUTOMATIC PARALLELISATION AND EXECUTION OF APPLICATIONS ON CLUSTERS

2001 ◽  
Vol 02 (03) ◽  
pp. 331-343
Author(s):  
CHRISTOPHER MCAVANEY ◽  
ANDRZEJ GOSCINSKI
Keyword(s):  
Parallel Execution ◽  
Parallel Applications ◽  
Parallel Application ◽  
Parallel Processes ◽  
Additional Input ◽  
Execution Environment ◽  
Automated Tool

Parallel execution is a very efficient means of processing vast amounts of data in a small amount of time. Creating parallel applications has never been easy, and requires much knowledge of the task and the execution environment used to execute parallel processes. The process of creating parallel applications can be made easier through using a compiler that automatically parallelises a supplied application. Executing the parallel application is also simplified when a well designed execution environment is used. Such an execution environment provides very powerful operations to the programmer transparently. Combining both a parallelising compiler and execution environment and providing a fully automated parallelisation and execution tool is the aim of this research. The advantage of using such a fully automated tool is that the user does not need to provide any additional input to gain the benefits of parallel execution. This report shows the tool and how it transparently supports the programmer creating parallel applications and supports their execution.

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