SERVICE SELECTION IN EDGE
CLOUD COMPUTING:
SIMULATION AND PERFORMANCE
ANALYSIS
Submitted by:-
Pabitra Dash
116cs0177
Under the supervision of:
Prof. Ashok Kumar Turuk
Department of Computer Science and Technology
NIT Rourkela
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SERVICE SELECTION IN EDGE
CLOUD COMPUTING:
SIMULATION AND PERFORMANCE
ANALYSIS
Submitted by:-
Pabitra Dash
Under the supervision of: 116cs
Prof. Ashok Kumar Turuk Department of Computer Science and Technology NIT Rourkela
CLOUD COMPUTING
- (^) A network computing approach where an application runs on a server, or a group of servers, owned by a provider rather than on your own computer
- (^) Cloud computing is the on-demand delivery of compute power, database, storage, applications, and other IT resources via the internet with pay-as-you- go pricing
- (^) Cloud is something that is somewhere up which brings us some service(i.e. RAIN) (^) Have to request (^) Have to pay
CENTRALIZED CLOUD
- (^) For data that is not time driven.
- (^) Not preferred in remote locations
- (^) Load balancing is worse than edge cloud
- (^) Not really good for IoT EDGE CLOUD
- (^) Better for time sensitive data
- (^) Mostly preferred in remote locations
- (^) Load balancing is better
- (^) Works really good for IoT
CONSTRAINTS
- (^) The bandwidth is going to be fixed
- (^) Efficiency can always be raised.
- (^) Edge servers can do their computation
- (^) A delay is introduced every time we upload or download data to/from the centralized cloud network (^) Introduce Cache/ Look up table + Computational ability (^) Edge servers
OBJECTIVES
- (^) Deciding the boundary line?
- (^) To implement a service selection procedure ,to have (^) Less Latency (^) Higher Data rate (^) More Efficiency
- (^) Along with more Reliability, Scalability and Cost-effectiveness // Business model issues
EDGE-CLOUD-SIM, THE SIMULATOR (^) Sub modules:-
- The Core design module:- It is responsible for loading and running the edge computing scenarios from the configuration files.
- The Edge orchestrator module:- It is designed to fulfil the orchestration process that is a crucial issue on the edge computing systems.
- The Networking module:-It handles the transmission delay in the network by considering both upload and download data.
- The Mobility module:- It provides the mobility support that is one of the major lack in the cloud computing simulators.
- The Load-generator module:- It is responsible for generating tasks for the given application configuration
GENERIC EDGE COMPUTING ARCHITECTURE
SIMULATION ARCHITECTURE
- (^) ONE TIER:-
- (^) Data never travels to the Centralised cloud.
- (^) Edge device and centralised cloud act as two independent entities.
- (^) TWO TIER:-
- (^) Classic cloud architecture
- (^) For their computation the edge-devices are dependent on the centralized cloud
- (^) TWO TIER with EO:-
- (^) Introduction of middle layer
- (^) Aims to reduce latency and increase throughput
FUZZY LOGIC
- (^) Fuzzy logic is an approach to computing based on "degrees of truth" rather than the usual "true or false" (1 or 0)
- (^) Fuzzy logic includes 0 and 1 as extreme cases of truth but also includes the various states of truth in between
- (^) Fuzzy logic is based on the observation that people make decisions based on imprecise and non-numerical information
PRELIMINARY RESULTS
PRELIMINARY RESULTS
THRSHOLDING
FUZZY INPUT DOMAIN