MapReduce-oriented 5G network and information visualization design

Since Google proposed the MapReduce programming model, it has been widely used to process big data, and is considered be one of most efficient tools for processing data. However, model also some disadvantages. During Reduce partitioning process, default hash part will destroy overall With rapid development China’s society economy, considerable progress made in field communications, which completely changed people’s lifestyles. Under this kind background, people put forward higher requirements communication networks, requiring continuously optimize update services meet needs times people. advent 5G era, necessary us explore how large operators can better respond ever-increasing demand mobile services. This article considers problem scheduling tasks. When a user submits batch jobs cluster, determine execution order tasks job minimize time required complete job? In solve problem, paper proposes map task running prediction predict end job. era information explosion, lives are inseparable from information. Information bring many conveniences food, clothing, housing, transportation, but data flow have become heavy burden visualization closely related lives. Their appearance promotes transmission contributes technology, trade, medical attracting more social attention.