5G network-oriented hierarchical distributed cloud computing system resource optimization scheduling and allocation

2020 ◽  
Vol 164 ◽  
pp. 88-99
Author(s):  
Guang Zheng ◽  
Hao Zhang ◽  
Yanling Li ◽  
Lei Xi
Keyword(s):  
Cloud Computing ◽  
Computing System ◽  
Resource Optimization ◽  
Cloud Computing System ◽  
5G Network ◽  
System Resource ◽  
Distributed Cloud ◽  
Optimization Scheduling

scholarly journals Enhanced Security In Cloud With Multi-Level Intrusion Detection System

2015 ◽  
pp. 9-12
Author(s):  
M. KUZHALISAI ◽  
G. GAYATHRI
Keyword(s):  
Cloud Computing ◽  
Intrusion Detection ◽  
Large Scale ◽  
Detection System ◽  
Computing System ◽  
Cyber Attacks ◽  
Security Level ◽  
Security Service ◽  
Cloud Computing System ◽  
System Resource

Cloud computing is a new type of service which provides large scale computing resource to each customer. Cloud Computing Systems can be easily threatened by various cyber attacks, because most of Cloud computing system needs to contain some Intrusion Detection Systems (IDS) for protecting each Virtual Machine (VM) against threats. In this case, there exists a tradeoff between the security level of the IDS and the system performance. If the IDS provide stronger security service using more rules or patterns, then it needs much more computing resources in proportion to the strength of security. So the amount of resources allocating for customers decreases. Another problem in Cloud Computing is that, huge amount of logs makes system administrators hard to analyse them. In this paper, we propose a method that enables cloud computing system to achieve both effectiveness of using the system resource and strength of the security service without trade-off between them.

scholarly journals Optimal Resource Scheduling for IaaS Cloud Computing using Cuckoo Search Algorithm

2017 ◽  
Vol 9 (1-3) ◽  
Author(s):  
Syed Hamid Hussain Madni ◽  
Muhammad Shafie Abd Latiff ◽  
Shafi’i Muhammad Abdulhamid
Keyword(s):  
Cloud Computing ◽  
Search Algorithm ◽  
Resource Scheduling ◽  
Cuckoo Search ◽  
Computing System ◽  
Cuckoo Search Algorithm ◽  
Cloud Computing System ◽  
Optimal Resource ◽  
System Resource ◽  
Np Hard Problem

Effective resource scheduling is essential for the overall performance of cloud computing system. Resource scheduling problem in IaaS cloud computing is investigated in this paper. It is established to be an NP-hard problem. A recently developed Cuckoo Search (CS) meta-heuristic algorithm is proposed in this paper, to minimize the response time, makespan and throughput for the resource scheduling in IaaS cloud computing. Simulation results show that CS algorithm outperforms that of Ant Colony Optimization (ACO) algorithm based on the considered parameters. 

scholarly journals Prediction of Cloud Computing Resources Based on the Open Source Monitoring System

2020 ◽  
Vol 6 (3) ◽  
pp. 100-106
Author(s):  
K. Kucherova
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Source Monitoring ◽  
Computing System ◽  
Operating Conditions ◽  
Software Products ◽  
Database Structure ◽  
Cloud Computing System ◽  
Distributed Cloud ◽  
Globally Distributed

The paper describes the universal approach for monitoring the data storage of a globally distributed cloud computing system, which allows you to automate creation of new metrics in the system and predict their behavior for the end users. Since the existing monitoring software products provide built-in scheme only for system metrics like RAM, CPU, disk drives, network traffic, but don’t offer solutions for business functions, IT companies have to design specialized database structure (DB). The data structure proposed in this paper for storing the monitoring statistics is universal and allows you to save resources when orginizing database monitoring on the scale of the GDCCS. The goal of the research is to develop a universal model for monitoring and forecasting of data storage in a globally distributed cloud computing system and its adequacy to real operating conditions.

Sign in / Sign up

Export Citation Format

Share Document