Dissertation mobile computing

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Dissertation mobile computing

Dissertation mobile computing

The goal of this topic is to study this stream data processing approach and compare its usability, fault tolerance and performance to more classical streaming approaches.

The thesis should give an overview of its advantages and disadvantages, demonstrate how to adapt typical stream processing applications to it and investigate how easy it would be to take arbitrary Spark SQL, Dataframe or Hive SQL based applications and convert them into Streaming applications using Spark Structured Streaming.

Optimizing the performance of Apache Spark Streaming applications M Pelle Jakovits The goal of this topic is to investigate what characteristics have a significant effect on the performance of Spark Streaming applications and provide guidelines and best practices on how to create and configure Streaming applications in Apache Spark to achieve optimal performance in different scenarios.

Real time vs micro-batching in streaming data processing: But newer stream processing frameworks such as Apache Storm allow processing any incoming data objects in real time.

THE "THINKING ABOUT IT" STAGE

Depending on specific scenarios, it may be beneficial to pre- process the data as close to its source as possible. However, there are limitations on how powerful computing resources are available near the data sources.

Dissertation mobile computing

The goal of this thesis is to evaluate existing solutions for streaming data processing which allow performing part of the data processing nearer to the source, give an overview of their usability, advantages and disadvantages and analyse their effectiveness in comparison to more classical stream data processing frameworks such as Apache Spark or Storm.

The goal of this topic is to investigate the performance disadvantages of executing large amount of containerized applications on different types of computers from high performance to resource constrained computers and to estimate how many containers can be supported on different hardware before running into performance issues.

These frameworks can greatly simplify creating parallel applications and can scale up the computations to hundreds of nodes but the individual computing power of s single node is often left unoptimized.The Dissertation Journey: A Practical and Comprehensive Guide to Planning, Writing, and Defending Your Dissertation [Carol Roberts, Laura Hyatt] on ashio-midori.com *FREE* shipping on qualifying offers.

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Dissertation - Mobile Cloud Computing

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The Document Co. About The Document Co; Formation of “The Document Co”. Mobile Computing [ Enterprise Architecture Framework for Mobile Computing ] There is a huge amount of interest in the development of mobile business applications, driven by recent advances in mobile technologies and standards, as well as the growing population of mobile workers.

ACM Symposium on Principles of Distributed Computing – July , Toronto, Ontario, Canada