Internet of Things

72 Internet of Things

Challenge #2: Scalability

According to Cisco, more than 50 billion IoT devices will operate in the world by 2020. On a

similar note, Gartner has predicted 26 billion devices. To cater such a large range of devices,

scalability is a key factor in the Internet of Things architecture. You cannot compare it with

the desktop or web-based applications; it is more challenging and a completely dierent ball

game.

Solution

There is an extensive list of solutions for IoT which are secure, scalable, flexible, and reliable.

For example, you can leverage Oracle’s Internet of Things Platform, a popular infrastructure

for data management. This product oers multiple eective solutions through which you can

connect IoT devices on a large scale. Since, Oracle products and services are a part of an inte-

grated architecture; therefore you can have your hands on a detailed list of solutions to fix these

challenges.

You can also use the Oracle NoSQL and Oracle Database Mobile Server for your IoT

infrastructure. Oracle NoSQL Database is known as a highly reliable, distributed, available, and

scalable key-value database. On the other hand, Oracle Database Mobile Server is an extreme-

ly powerful solution which can fulfill your scalability requirements to establish a connection

between mobile applications and embedded devices.

Challenge #3: Latency

The time required by data packets to travel across the network is known as latency. Generally,

round-trip time (RTT) is used to measure latency. RTT is the time period during which a data

packet requires to go back and forth from a source to the destination. For datacenters, millisec-

onds (ms) is used to measure latency, usually the range is less than 5 milliseconds.

The presence of an IoT infrastructure means that there is large number of devices which

are interconnected to a large range of IoT devices. The greater the latency, the heavier the net-

work becomes. For developers, the cloud appears as the network’s edge. It is important to note

that even standard IoT applications can face latency issues like when a fan is turned on due to

a hotter temperature within a home automation system, your application can face unexpected

latency issues stemming from gateway processing, cloud processing, sensing, wireless trans-

mission, and internet delivery.

Solution

The latency issue has become a lot more complex than it ever was. To use cloud computing

eectively for businesses, it is important that companies know how to reduce and manage their

latencies. To begin with, developers have to identify the cause behind such issues. In order to

identify these issues, they have to view latency in the right context; in terms of cloud comput-

ing’s inherent components.

One of the components which is responsible to increase the complexity of the cloud

latency is distributed computing. Enterprises data centers have become a think of past. Today,

the application requirements have updated to newer levels. Instead of being stored in a local

infrastructure, applications are distributed around the globe. Moreover, the entry of Big Data

with tools such as Hadoop and R is further fueling the distributed computing industry. Fur-

thermore, due to Internet trac, latencies are dependent which diminishes their ability to use

identical infrastructure and bandwidth.

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