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By allowing parts of the applications to be executed either on soft processors (as software programs) or on customized hardware peripherals attached to the processors, FPGAs have made traditional energy estimation techniques inefficient for evaluating various design tradeoffs.
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So, we need application adaptor which enables each application to be executed on cloud system.
The middleware is a software layer responsible for abstracting the specific characteristics of each receiver, allowing the same interactive application to be executed on receivers from different manufacturers [3].
This allows the application to be executed on any computer capable of running virtualization software, such as the open source Sun VirtualBox or the proprietary VMware Player/Server/Fusion.
Nowadays applications tend to be executed on distributed environments provisioned using on-demand infrastructures.
This means an external application code needs to be executed at the host machine to establish a communication between the host Input/Output devices and the trusted device attached to its USB port.
In a Hadoop cluster, the JobTracker is the job submission node where a client application submits the MapReduce job to be executed.
In many cases the performance of these service offerings may vary depending on the congestion level, provider policies and how the application types that are intended to be executed upon them use the computing resources.
However, this only has to be executed once when the application is started.
It describes the slowdown that the applications suffer for being executed in a shared platform, in contrast to being executed alone.
In this model, each Thing is abstracted as a generic device that can be dynamically assigned communication, storage and computation tasks according to its available resources, enabling the applications to be directly executed in the network without any proxy (in-network processing).
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CEO of Professional Science Editing for Scientists @ prosciediting.com