FollowMe: on research of pluggable infrastructure for context-awareness

Li, Jun; Bu, Yingyi; Chen, Shaxun; Tao, Xiaofeng; Lü, Jian

doi:10.1109/aina.2006.182

Cited by 14 publications

(3 citation statements)

References 4 publications

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“…The third major feature of a context framework is that there needs to be an emphasis on the reusability of system components in order to allow numerous domain-based applications to be developed rapidly using the framework [64]. This indicates that developers should not be recreating data retrieval methods for sensors found in every domain but rather reuse prebuilt context sensor widgets, described in section 2.3, that retrieve and abstract data directly from sensors.…”

Section: Requirements Of Context-aware Systemsmentioning

confidence: 99%

Adopt: A Context-Aware Domain Ontology-Based Framework for Public Transportation

Kramaric¹

2023

Preprint

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Understanding dynamic environments is a problem that many developers face when developing mobile applications for a particular domain. Dynamic environments can contain large sets of objects, people, and places that have varying characteristics and attributes that are constantly changing. Therefore, understanding all of the domain concepts and their relationships is a challenge for many application developers. To solve this problem an ontology based framework, ADOPT (context-

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Section: Requirements Of Context-aware Systemsmentioning

confidence: 99%

Adopt: A Context-Aware Domain Ontology-Based Framework for Public Transportation

Kramaric¹

2023

Preprint

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“…For ubiquitous computing, FollowMe [17] is a platform that allows definition of workflows using CPDL (Compact Process Definition Language) including events triggering processes/activities. It allows running a workflow application on nodes managed by FollowMe.…”

Section: Workflow Management Systems For Distributed Applicationsmentioning

confidence: 99%

“…Integration into workflows with QoS service selection is usually performed [4,5]. Services are also integrated with each other in context-aware applications in ubiquitous computing [15,17].…”

Section: Introductionmentioning

confidence: 99%

Modeling, run-time optimization and execution of distributed workflow applications in the JEE-based BeesyCluster environment

Czarnul

2010

J Supercomput

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The paper presents a complete solution for modeling scientific and business workflow applications, static and just-in-time QoS selection of services and workflow execution in a real environment. The workflow application is modeled as an acyclic directed graph where nodes denote tasks and edges denote dependencies between the tasks. The BeesyCluster middleware is used to allow providers to publish services from sequential or parallel applications, from their servers or clusters. Optimization algorithms are proposed to select a capable service for each task so that a global criterion is optimized such as a product of workflow execution time and cost, a linear combination of those or minimization of the time with a cost constraint. The paper presents implementation details of the multithreaded workflow execution engine implemented in JEE. Several tests were performed for three different optimization goals for two business and scientific workflow applications. Finally, the overhead of the solution is presented.

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Context-Adaptive Coordination of Pervasive Services by Interpreting Models during Runtime

Serral¹,

Valderas²,

Pelechano³

2012

The Computer Journal

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One of the most important goals of pervasive systems is to help users in their daily life by automating their behaviour patterns. To achieve this, pervasive services must be dynamically coordinated, executed, and adapted to context according to user behaviour patterns. In this work, we propose a model-driven solution to meet this challenge. We propose a task model and a context ontology to design context-adaptive coordination of services at a high level of abstraction. This design facilitates the coordination analysis at design time and is also reused at runtime. We propose a software architecture that interprets the models at runtime in order to coordinate the service execution that is required to support user behaviour patterns. This coordination is done in a contextadaptive way and decoupled from service implementation. This approach makes the models the only representation of service coordination, which facilitates the maintenance and evolution of the executed service coordination after deployment.

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FollowMe: on research of pluggable infrastructure for context-awareness

Cited by 14 publications

References 4 publications

Adopt: A Context-Aware Domain Ontology-Based Framework for Public Transportation

Adopt: A Context-Aware Domain Ontology-Based Framework for Public Transportation

Modeling, run-time optimization and execution of distributed workflow applications in the JEE-based BeesyCluster environment

Context-Adaptive Coordination of Pervasive Services by Interpreting Models during Runtime

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