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Large-Scale Decentralized Storage Systems for Volunter Computing SystemsArinto Murdopo
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UCAmI2012 - New approaches in context modelling for tourism applicationsDavid Buján
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Large-Scale Decentralized Storage Systems for Volunter Computing SystemsArinto Murdopo
This document provides a survey of existing decentralized storage systems and their suitability for use in volunteer computing systems. It discusses several decentralized storage systems including Farsite, Ivy, Overnet/Kademlia, PAST, PASTIS, Voldemort, OceanStore, Glacier, Total Recall, Cassandra, Riak, Dynamo, and Attic. It evaluates each system based on availability, scalability, eventual consistency, performance, and security. The document proposes that the most suitable state-of-the-art decentralized storage system for volunteer computing would combine the best properties of these existing systems.
Clustrx is a new HPC OS designed for supercomputers of any size, including those with accelerators. It features a real-time monitoring and control system integrated into the OS. Clustrx is intended to efficiently share supercomputing resources across heterogeneous architectures. It aims to provide infinite scalability for education and allow service providers to offer extended billing models.
UCAmI 2012 - Detection and Extracting of Emergency Knowledge from Twitter Str...Bernhard Klein
The document discusses research on detecting emergencies and extracting knowledge from Twitter streams. It presents an architecture for an analysis tool that filters tweets using language detection and slang reduction. It then applies semantic social network analysis and clustering techniques to group related tweets into emergency events. The tool generates alerts using the Common Alert Protocol to aggregate information on emergencies detected from Twitter.
UCAmI2012 - New approaches in context modelling for tourism applicationsDavid Buján
This document discusses new approaches for context modeling in tourism applications. It proposes modeling user context and profiles to infer new knowledge and better recommend experiences. Context data from users would be integrated with models of tourist resources and concepts. Ontologies are developed to represent this context data as linked data. The goal is to provide contextual information about users on mobile devices to help with tasks like determining similarity between travelers.
Service Composition for Mobile Ad Hoc Networks using Distributed MatchingUnai Aguilera
This document proposes a distributed service composition approach for mobile ad hoc networks. It involves disseminating service descriptions between nodes to create a distributed service graph (DSG). When a search request is received, the DSG is used to detect compatible services and compose a workflow by finding pre-computed paths between services. The approach is evaluated in a network simulator and shown to reduce composition search time compared to flooding while increasing failures due to graph maintenance challenges with topology changes. Future work includes testing with larger networks and real devices.
TURAMBAR: An Approach to Deal with Uncertainty in Semantic EnvironmentsDavid Ausín
The document presents the TURAMBAR approach, which combines Bayesian networks with OWL 2 reasoning to handle uncertainty in semantic environments. TURAMBAR defines probabilistic nodes and edges using OWL 2 annotations. It also extends Pellet and OWLAPI to allow determining the probability of facts based on relationships between facts. Examples show how TURAMBAR annotates properties and classes with probabilities. The approach generalizes to other semantic environments and will provide an API extension for developers.
LinkedQR: Improving Tourism Experience through Linked Data and QR CodesMikel Emaldi Manrique
This document proposes using QR codes and linked data to improve the tourism experience at art galleries. It describes how QR codes could be used to identify artworks, with linked data then being used to provide additional enriched information about the pieces when the codes are scanned by smartphones. The system architecture involves inserting basic information, querying external linked data sources to enrich it, and making the enriched data available via smartphones. An experiment of the system found it could retrieve artwork data accurately and efficiently within time frames acceptable to users.
Aneka is a cloud middleware platform that allows developers to build applications for deployment on heterogeneous cloud infrastructures. It provides a container-based architecture with services for resource management, application execution, storage, and accounting. The Aneka software development kit includes APIs for different programming models to develop distributed applications, while the management console provides tools for administrators to manage the cloud infrastructure and deployed applications and services.
The document discusses context awareness in building management. It describes context awareness as a system's ability to remain aware of its environment and adapt based on contextual information from various sources, like sensors. The key topics discussed are:
1) Context awareness is important for building management as it allows systems to assist occupants by automatically optimizing conditions like HVAC, lighting, and security based on contextual data.
2) Realizing full context awareness requires enhanced data sources, availability, and context models to integrate information from various building systems and sensors.
3) The project aims to enable context awareness in buildings by using wireless sensor networks to monitor contextual data and support integrated building management and automation.
MICE is a tool for monitoring context evolution and updating context models at runtime. It consists of three main components: a Monitor that collects contextual data from applications, a Context Data Repository that stores the data, and a Modeling Component that retrieves the data and updates context models. The tool was demonstrated by collecting battery data from Android devices using an open-source monitor, storing it in Cosm, an open-source repository, and updating awareness manager models. Future work includes combining multiple data streams and context attributes into more complex models and integrating context and design models at runtime.
The document discusses Datacore SANsymphony-V, a software-defined storage solution that provides virtualization, pooling and provisioning, continuous availability, performance acceleration, backup/recovery, and remote replication capabilities. It summarizes key features like virtualization of servers, storage and desktops; infrastructure management functions; benefits like cost savings and high utilization; and integration with VMware vSphere.
An event-driven architecture consists of event producers that generate event streams and event consumers that listen for events. It allows for loose coupling between components and asynchronous event handling. Key aspects include publish/subscribe messaging patterns, event processing by middleware, and real-time or near real-time information flow. Benefits include scalability, loose coupling, fault tolerance, and the ability to add new consumers easily. Challenges include guaranteed delivery, processing events in order or exactly once across multiple consumer instances. Common tools used include Apache Kafka, Apache ActiveMQ, Redis, and Apache Pulsar.
This document discusses context awareness and context-aware computing. It defines context as any information that can help characterize an entity's situation, including a user's environment, location, identity, and activity. Context-aware systems use context to provide relevant information and services to users. The document classifies different types of context and discusses how context-aware systems sense context, interpret it ("think"), and take appropriate actions. It also outlines some challenges in building context-aware applications, such as accurately representing and inferring context.
The document describes a mobile context data management framework. The framework provides an architecture and tools to easily design, develop, and test context-aware applications. It includes components like context providers to gather data from sources, a context manager to aggregate and store data, and APIs to query and infer new context. The framework was validated using a mobile tourism service example and offers improvements over related approaches like automatic context data transformation and debugging tools.
A survey on context aware system & intelligent Middleware’sIOSR Journals
Abstract: Context aware system or Sentient system is the most profound concept in the ubiquitous computing.
In the cloud system or in distributed computing building a context aware system is difficult task and
programmer should use more generic programming framework. On the basis of layered conceptual design, we
introduce Context aware systems with Context aware middleware’s. On the basis of presented system we will
analyze different approaches of context aware computing. There are many components in the distributed system
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Context middleware’s have been made but they are giving partial solutions. In this paper we are giving analysis
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Keywords: Context aware system, Context aware Middleware’s, Context Cache
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The document describes an application called ContextCapture that collects context data from mobile device sensors and nearby Bluetooth devices. It presents the sensed context to the user along with common descriptions to select from to create a story-like status update. The status update is sent to a server application which stores the context data and publishes the update to Facebook and Twitter. The goals of the application are to demonstrate sharing contextual information between devices and collect user-selected descriptions to create a shared database of context semantics for future recommendations.
This poster introduces an experimental application to demonstrate the usage of context-based awareness cues in status updates, especially in SNS’s (Social Networking Services). The presented application allows users to add different descriptions of context information to their Twitter messages and Facebook status updates in a narrative format.
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This talk covers the design and implementation plans of a distributed analytics platform that meets these requirements. Well-proven Google architectures like GFS, BigTable, Chubby, and Dremel heavily influenced the design of the system, which leverages bitmap indexes to meet the interactive query requirements. The goal is to develop a prototype ready for production usage in the next few months and obtain feedback from using it on various large-scale sites serving tens of thousands of machines.
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This document discusses context awareness and context-aware systems. It begins by defining context as the surrounding environment, location, or situation that determines the meaning of an event. An entity is defined as anything relevant to the interaction between a user and an application, including the user and application themselves.
The document then classifies different types of context, including computing, user, environmental, and physical context. It explains that context awareness allows a system to sense and act upon information about its environment. Context-aware systems can take automatic action or provide intelligent assistance based on sensed context like location, time, temperature, or user identity.
Finally, the document discusses challenges in building context-aware systems and applications, such as representing context
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Episode 4: Operating Kubernetes at Scale with DC/OSMesosphere Inc.
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A survey on context aware system & intelligent Middleware’sIOSR Journals
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introduce Context aware systems with Context aware middleware’s. On the basis of presented system we will
analyze different approaches of context aware computing. There are many components in the distributed system
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UCAmI 2012 - An Infrastructure to Provide Context-Aware Information and Services to Mobile Users
1. An Infrastructure to Provide Context-Aware
Information and Services to Mobile Users
UCAmI 2012
Pablo Curiel, Ana B. Lago
DeustoTech - Deusto Institute of Technology, University of Deusto
http://www.morelab.deusto.es
December 4, 2012
Infrastructure to Provide Context-Aware… 1/26
2. Outline
Introduction
The Infrastructure
Implementation
Evaluation
Conclusion
Infrastructure to Provide Context-Aware… 2/26
3. Introduction
Introduction
The Infrastructure
Implementation
Evaluation
Conclusion
Infrastructure to Provide Context-Aware… 3/26
4. Mobile devices’ ecosystem
► Mobile devices play a prominent role in our lives.
►6 cellular subscriptions for every 7 people in the world.
► Emergence of the Smartphones
► Powerful hardware
► Permanent connectivity
► Equipped with numerous sensors
► Ability to execute a great diversity of applications
► Provide richer and better context information than ever
before
Infrastructure to Provide Context-Aware… Introduction 4/26
5. The Objective
► Build an infrastructure which
► Manages the context information in mobile environments
► Makes it available for the rest of the entities in the
environment
► Enable
► The provision of relevant information and services to end-
users.
► Mobile application and services to adapt their behaviour to
meet user needs.
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6. The Infrastructure
Introduction
The Infrastructure
Implementation
Evaluation
Conclusion
Infrastructure to Provide Context-Aware… 6/26
7. Infrastructure
► The context management infrastructure…
Context Manager
Context Broker
Consumers
Providers
Context
Context
Query Subscription
Manager Manager
Current Context
Context History
Infrastructure to Provide Context-Aware… Infrastructure 7/26
8. Providers
► Entities which provide context information to
Providers
the system
Context
► Physical sensors, end-user mobile devices,
social networks, mobile services, etc.
Infrastructure to Provide Context-Aware… Infrastructure 8/26
9. Consumers
Entities that make use of context information
Consumers
►
Context
to adapt their behaviour or to take decisions
► Mobile application and services
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10. The Context Manager
► Central element
Context Manager
► Context repository
► Stores the context information Context Broker
retrieved from the sources Query Subscription
Manager Manager
► Allows consumers to access it
► Data-centric approach
► Comprised of various independent
Current Context
components Context History
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11. The Context Manager
► Current Context
► Stores the context information which is valid in
each moment
Current
► Follows the ontological model shared by the Context
whole system.
► Context History
► Keeps track of the changes taken place in the
context information Context
History
► Storage policies
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12. The Context Manager
► Context Broker.
► Manages access to current and
history context repositories.
► Receives context information from
Context Broker
the sources and stores it in the
Query Subscription
current context Manager Manager
► Moves outdated information to the
context history
► Responds consumers’ requests
querying these two repositories
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13. The Context Manager
► Context Broker.
► Two subcomponents
► Query Manager Query
► Synchronous access Manager
► Subscription Manager
► Asynchronous access Subscription
Manager
► Register subscriptions and receive notifications
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14. Context Manager API
► Unique entry point to the Context Manager functionality
► Exposes methods that enable context source and
consumers to work with context information
► Query the context repositories
► Subscribe to context information changes
► Add/Remove context information
Infrastructure to Provide Context-Aware… Infrastructure 14/26
15. Implementation
Introduction
The Infrastructure
Implementation
Evaluation
Conclusion
Infrastructure to Provide Context-Aware… 15/26
16. Implementation
► Java
► OSGi
► Jena2 and Jenabean
► RESTful API
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17. Evaluation
Introduction
The Infrastructure
Implementation
Evaluation
Conclusion
Infrastructure to Provide Context-Aware… 17/26
18. Starting scenario
► Suggest plans to friends depending on their location and
availability.
► Android end-user app ► Contextual service
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19. Tests design
► And starting from this scenario...
► Tests where
► The contextual service acts as context source, periodically
(every 5s) adding alerts for the end-user application
► The end-user application
► Queries periodically (every 1s) for these alerts
► Registers asynchronous subscriptions to receive them
► In each of these tests the number of context source and
consumers interacting with the context manager varies
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20. Tests results
► Effect of different number of concurrent sources
Infrastructure to Provide Context-Aware… Evaluation 20/26
21. Tests results
► Effect of different instance count in the current context
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22. Tests results
► Effect of different number of concurrent consumers
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23. Tests results
► Comparison between using Jena and Jena+Jenabean
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24. Conclusion
Introduction
The Infrastructure
Implementation
Evaluation
Conclusion
Infrastructure to Provide Context-Aware… 24/26
25. Conclusions
► The implemented prototype and the tests carried out
have shown
►A functional system which complies with the defined
requirements
► Is extensible
► However, performance issues were observed
► The number of concurrent sources increases
► The context space held by the context manager grows
Infrastructure to Provide Context-Aware… Conclusion 25/26
26. Future Work
► Removing or replacing Jenabean
► Privacy and security policies
► Trustin context providers
► Control access for context consumers
Infrastructure to Provide Context-Aware… Conclusion 26/26
27. An Infrastructure to Provide Context-Aware
Information and Services to Mobile Users
Pablo Curiel
{pcuriel@deusto.es}
DeustoTech - Deusto Institute of Technology, University of Deusto
http://www.morelab.deusto.es
Infrastructure to Provide Context-Aware… 27/26