|
Ijrar january 2019, Volume 6, Issue 1Bog'liq A Comparison Analysis of Fog And Cloud
§
Availability
Cloud services are available 24x7 from the providers. Most of the cloud providers are reliable and provides best services
with maintaining good uptime. Services from cloud can be accessible from anywhere as it is having twenty four hours
availability.
III.
C
LOUD
C
OMPUTING VS
T
RADITIONAL
C
OMPUTING
Table 1. Difference between traditional computing and cloud computing [21]
Parameters
Traditional computing
Cloud Computing services
Pricing
A firm would need huge upfront cost for both hardware
and software
Economical and predictable
Security
To ensure security the firm’s IT experts should be better
than hackers
Cloud services are regularly checked for any
security fault lines
Technical
support
Contractual or per instance billing of any technical
glitches
Unlimited technical support which comes within
the ambit of subscription fee
Infrastructure
Standalone server hardware and server software which is
pricey
Multi-tenant systems shared by multiple cloud
customers
Reliability
Depends on backup and in-house IT skills
Professional technical expertise included within
the subscription fee
Accountability
After initial setup, provider is not typically bothered with
accountability
The cloud provider can be held fully
accountable for any misgivings in the cloud
services
IV.
F
OG
C
OMPUTING
O
VERVIEW
The term ‘Fog computing’ was proposed in 2012 by re- searchers from Cisco Systems [5]. The Fog is a distributed computing
approach that mainly focuses on facilitating applications, which require low latency services [6], Fog computing also supports
non- latency aware services. It is obvious that using idle computation resources near the users will improve overall service
performance, if the volume of processing were not that high. A huge number of heterogeneous nodes will be connected to the
Fog. These nodes include sensors and actuators among others [4]. Computation is performed in Fog devices when necessary and
storage facilities are also available for a short period of time, at least in most Fog devices. Time-sensitive computation in the Fog
is done without the involvement of third parties, and in most cases, is done by the Fog processing devices [7]. The most
prominent characteristic of fog computing is the extension of the cloud service to the edge of network. It makes computation,
communication, control and storage closer to end-users by pooling the local resources. The geographically distributed network
edge devices consume data. Therefore, the data transfer time and the amount of network transmission is greatly reduced [8]. The
fog paradigm can effectively meet the demands of real-time or latency-sensitive applications, and notably ease network
bandwidth bottlenecks [9].
|
| |
