Sentence examples for large amount of software from inspiring English sources

Exact(1)

Resource provisioning in cloud data centers is a complex process that requires matching of a large number of requests with a large amount of software and hardware while satisfying the SLA.

Similar(59)

As a result of automated software testing, large amounts of software test code (script) are usually developed by software teams.

Figure4 shows that the network with the largest amount of software sharing is also the quickest to resist new attacks with Cave taking 6 steps on average.

In a day and age where most experiments generate large amount of data, software is always going to play a central role, so why not make this policy universal for all submissions involving data analysis?

In a recent interview with Forbes, Ryan explains his analysis of how the multi-tenant architecture used for most large software-as-a-service applications will become dominant and present a challenge to the relevance and importance of a large amount of open source software.

Cloud storage service brings significant benefits to data owners, say, (1) reducing cloud users' burden of storage management and equipment maintenance, (2) avoiding investing a large amount of hardware and software, (3) enabling the data access independent of geographical position, (4) accessing data at any time and from anywhere [42].

It can be effectively used to understand the large amount of data produced during software evolution.

A large amount of data analysis and software development is being carried out on the UNIX platforms.

It can be effectively used to analyze and understand the large amount of data produced during software evolution.

There exists a large amount of tools for translating software functionalities into hardware[31, 32], but attention should be paid to issues such as processing time, power consumption, etc.

This is in part thanks to the availability of a large amount of data from different kinds of software repositories, as well as of techniques to mine them, eg, for tracing data from heterogeneous sources, summarizing changes, or mining unstructured and semistructured data sources.

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