Provides access to information on a large scale
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Answer:
Large-scale computing systems, such as clouds, have an order of tens of thousands or more computer servers. ... Massive data analysis applications are executed over the cloud that requires huge amounts of memory, enormous numbers of processor cycles, and communication bandwidth.
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Explanation:
Systems research has long been a part of the information technology (IT) landscape. Computer scientists and engineers have examined ways of combining components—whether individual transistors, integrated circuits, or devices—into larger IT systems to provide improved performance and capability. The incredible improvements in the performance of computer systems seen through the past five decades attest to advances in areas such as computer architectures, compilers, and memory management. But today's large-scale IT systems, which contain thousands or even millions of interacting components of hardware and software, raise a host of technical and nontechnical issues, some of which existed in the early days of computing and have now become critical and others of which arose recently as a result of the increases in scale and the degree of interconnection of IT systems. As computing and communications systems become more distributed and more integrated into the fabric of daily life, the scope of systems research needs to be broadened to address these issues more directly and enable the development of more reliable, predictable, and adaptable large-scale IT systems. Some have argued that the notion of computer systems research needs to be reinvented (Adams, 1999).