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Context Aware Computing for The Internet of Things: A Survey
TLDR
This paper surveys context awareness from an IoT perspective and addresses a broad range of techniques, methods, models, functionalities, systems, applications, and middleware solutions related to context awareness and IoT.
An overview of workflow management: From process modeling to workflow automation infrastructure
TLDR
This paper provides a high-level overview of the current workflow management methodologies and software products and discusses how distributed object management and customized transaction management can support further advances in the commercial state of the art in this area.
Sensing as a service model for smart cities supported by Internet of Things
TLDR
The objective is to investigate the concept of sensing as a service model in technological, economical and social perspectives and identify the major open challenges and issues.
Sensing as a Service and Big Data
TLDR
Emerging Internet of Things architecture, large scale sensor network applications, federating sensor networks, sensor data and related context capturing techniques, challenges in cloud-based management, storing, archiving and processing of sensor data are discussed.
Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions
TLDR
This survey will help the industry and research community synthesize and identify the requirements for Fog computing and present some open issues, which will determine the future research direction for the Fog computing paradigm.
Sensor Search Techniques for Sensing as a Service Architecture for the Internet of Things
TLDR
A context-aware sensor search, selection, and ranking model, called CASSARAM, is proposed to address the challenge of efficiently selecting a subset of relevant sensors out of a large set of sensors with similar functionality and capabilities.
Context-Aware Sensor Search, Selection and Ranking Model for Internet of Things Middleware
TLDR
CASSARAM is presented, a context-aware sensor search, selection, and ranking model for Internet of Things to address the research challenges of selecting sensors when large numbers of sensors with overlapping and sometimes redundant functionality are available.
On serializability of multidatabase transactions through forced local conflicts
TLDR
Both OTM and ITM achieve global serializability by controlling the commitment and thus the serialization order of multidatabase transactions and can be combined in a single comprehensive mechanism.
Using Tickets to Enforce the Serializability of Multidatabase Transactions
TLDR
This work introduces optimistic and conservative multidatabase transaction management methods that require the local database systems to ensure only local serializability and shows that forced local conflicts can be eliminated in rigorous local systems, local cascadelessness simplifies the design of a global scheduler, and that local strictness offers no significant advantages over cascadlessness.
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