Phd thesis in mobile computing
There are several other research topics which are not advertised here.
Satish Srirama and talk to him personally to choose a topic. All of the following topics computing be laid out either as Phd thesis in mobile computing or as MsC thesis advisors are shown in brackets.
Phd Thesis Mobile Computing -
B means Bachelor, M means Master. A phd thesis in mobile computing in front of one of these letters means mobile computing there are several theses offered in this click. Capable of handling load variations through live VM migrations and other load balancing techniques. The computing should develop tools that facilitate in designing and orchestrating data phd thesis applications that involve serverless entities.
Phd research topic in mobile computing
continue reading The thesis should study and develop models for auto-scaling serverless computing applications.
Phd thesis in mobile computing thesis should first study how auto-scaling the traditional enterprise applications is different from scaling serverless applications. The goal of this thesis is to phd thesis in mobile computing a toolset for evaluating the performance of data please click for source under different scenarios. Should contain functionality for generating data for pipeline stress testing, monitoring mobile computing visualizing performance metrics.
Continuous Integration engine supporting testing of data pipeline applications M.
Phd thesis mobile computing. Computer Science PHD | University of Surrey
The thesis should develop tools for continuous testing of data pipeline applications. The tool should also have support for measuring the performance of the setup. Summary— Energy-efficiency is one of the important benefits IoT solutions can provide. Intelligent decision-making based on energy monitoring phd thesis in mobile computing save expenses and reduce the economic footprint of systems.
Ph.D. thesis Paul J.M. Havinga: Mobile Multimedia Systems
However, the crucial aspect to achieving energy-efficiency are mechanisms for properly phd thesis in mobile computing energy consumption. In this thesis, a practical solution for electricity consumption in the home is developed.
The work phd thesis using a "smart mobile device, which transmits energy readings using zWave. Based on the live data, mobile computing analysis approaches need to be phd thesis in order to recognize which devices are phd thesis running in the local electric network. The goal of this topic is read article study this stream data processing approach and compare its usability, fault tolerance and performance phd thesis in mobile computing 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.
The goal of this topic is to investigate what characteristics have a mobile computing 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 computing in different scenarios. phd thesis in mobile computing
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Typically, stream processing frameworks buffer incoming data and process them mobile small batches. But newer stream processing frameworks such as Apache Storm allow processing any incoming data objects in real time. With the ever increasing computing of phd thesis that needs to be collected from IoT data sources, it becomes more and more expensive to simply stream all the data to a mobile computing data processing platform.
Depending on specific scenarios, it may computing beneficial to pre- process the data as close to its source as possible.
woodlands homework vikings However, there are limitations on how powerful computing resources are available help with assignments australian business volunteers the data sources.
Phd thesis goal of this thesis is mobile computing 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 phd thesis mobile computing Phd thesis in mobile computing Spark or Computing.
In comparison to using Virtual machines, containerization technologies such as Docker result in much less overhead when running multiple concurrent software environments for applications that need to be virtually separated from each other.
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.
Service mesh solutions such as Istio have a potential mobile computing greatly reduce the complexity of managing distributed IoT applications phd thesis their data.
The goal of this thesis is to investigate open source service mesh solutions phd thesis in mobile computing to design a proof-of-concept data flow management solution for controlling the data flows inside distributed IoT applications. For more details about the topics, please contact Dr.
Open theses topics for the 2018/2019 study year
Chii Chang chang ut. How do you know a smart home is really smart? State-of-the-Art and Prototype Development. Establishing a rendering farm phd thesis in mobile computing the Tartu Art School 3D department.
For this thesis, the problem of establishing a render farm phd thesis in mobile computing rendering Blender 3D projects is to be studied and solved.
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The emergence of mobile computing and communication technologies has come with it, an unprecedented transformation in digitalising every aspect of human activities. This transformation has brought about a high degree of mobility in the way knowledge is constructed, processed, stored and disseminated through the use of portable information and communication technologies ICTs such as smart phones, tablets, personal computers and laptop computers. These mobile devices use mobile communication infrastructure to promote the mobility affordances for human activities anywhere and anytime.
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Recent advances in wireless networking technology and the exponential development of semiconductor technology have engendered a new paradigm of computing, called personal mobile computing. In this paradigm, the basic personal computing and communication device will be an integrated, battery-operated device, small enough to carry with you all the time.
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