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Multitenancy or sharing of resources: Multiple users share resources at the network, host and application level.
The approach lets multiple users share streams; thus, the stress on the scarce bandwidth can be alleviated without sacrificing viewers' waiting time.
Resource allocation with QoS constraints where multiple users share a wireless downlink is one key challenge in the design of future wireless systems.
In traditional electromagnetic wave wireless communications, when multiple users share the same resource, e.g., power and spectrum, how to allocate the resource among different users is very important to guarantee the high system efficiency while maintaining fairness [26,27].
And there are major flaws in the much-touted scheme to let multiple users share a single machine like the way your kid can easily read or delete your files, password or no, and the way one user can zap another's unsaved work.
In the market, multiple users share a common frequency or tone band and each of them uses the budget to purchase its own transmit power spectra (taking others as given) in maximizing its Shannon utility or pay-off function that includes the effect of interferences.
Similar(51)
Computers acquired more powerful operating systems in the 1960s with the emergence of time-sharing, which required a system to manage multiple users sharing CPU time and terminals.
Resource allocation among multiple users sharing the whole spectrum bandwidth is one of the key design tasks in LTE systems.
Ongoing standardizations of modern cellular systems are investigating different precoding strategies based on low-level quantized CSIT to transmit spatial streams to multiple users sharing the same time-frequency resources.
In addition, through the Web services, next generation smart TVs can display personalized user interfaces, featuring the user's favorites and even add new functions for multiple users sharing the same screen after devices are purchased.
It is important to note that OE provides the ability for multiple users to share information derived from data without having to share sensitive private health data.
Related(20)
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several users share
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multiple samples share
multiple families share
multiple workloads share
multiple generations share
multiple lineages share
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multiple radars share
multiple pathways share
multiple friends share
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multiple SUs share
multiple traits share
multiple applications share
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