Implementation of Hybrid Adaptive System for SLA Violation Prediction in Cloud Computing

2022 ◽  
Vol 11 (5) ◽  
pp. 1
Author(s):  
Nisheeth Joshi ◽  
Prabhat Kumar Upadhyay ◽  
Archana Pandita
Keyword(s):  
Cloud Computing ◽  
Adaptive System ◽  
Sla Violation

A Complex Adaptive System Thinking Approach of Government E-Procurement in a Cloud Computing Environment

2013 ◽  
pp. 193-219 ◽  
Author(s):  
Marc Rabaey
Keyword(s):  
Cloud Computing ◽  
Value Chain ◽  
Service Oriented Architecture ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
System Thinking ◽  
Key Factor ◽  
Complex Adaptive ◽  
The Game Theory ◽  
The Government

The main focus on e-Procurement in this chapter will be the public (government) e-Procurement, which is part of a larger whole, namely e-Government. e-Procurement and e-Government are very important tools for the government to act in this fast changing society. But as for must business, the tools may be important, but the vision and the strategy to use these tools are much more important. Therefore the chapter discusses e-Government and e-Procurement in their strategic contexts, in which intelligence (contextual integrated information) is a key factor to survive. The reason is because the government is a Complex Adaptive System (CAS). Without intelligence and the agility of its structure and processes, the government will not survive, or at least it will be less efficient and effective in developing strategies and in executing these strategies. The game theory discussion will show that the flexibility and agility of the e-Procurement system (together with a good strategy) are key factors for a successful system; otherwise e-Procurement is more of weakness in the government’s value chain of procurement of goods and services. In the last part of the discussion on Cloud Computing and e-Procurement, the author argues that ERP systems (so called best practices) are not well adapted to other contexts than the simple context of the Cynefin Framework. Service Oriented Architecture solutions can provide better (adapted) solutions for e-Procurement. Cloud Computing in combination with SOA may be the next generation solution.

scholarly journals SLA Violation Detection Mechanism for Cloud Computing

2016 ◽  
Vol 133 (6) ◽  
pp. 8-11 ◽  
Author(s):  
Sahar Mohamed ◽  
Adil Yousif ◽  
Mohammed Bakri
Keyword(s):  
Cloud Computing ◽  
Detection Mechanism ◽  
Sla Violation ◽  
Violation Detection

scholarly journals Alts: An Adaptive Load Balanced Task Scheduling Approach for Cloud Computing

Processes ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1514
Author(s):  
Aroosa Mubeen ◽  
Muhammad Ibrahim ◽  
Nargis Bibi ◽  
Mohammad Baz ◽  
Habib Hamam ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Resource Utilization ◽  
Task Scheduling ◽  
Scheduling Algorithm ◽  
Problem Size ◽  
Cloud Data ◽  
Sla Violation ◽  
Task Scheduling Algorithm ◽  
User Tasks ◽  
Load Balanced

According to the research, many task scheduling approaches have been proposed like GA, ACO, etc., which have improved the performance of the cloud data centers concerning various scheduling parameters. The task scheduling problem is NP-hard, as the key reason is the number of solutions/combinations grows exponentially with the problem size, e.g., the number of tasks and the number of computing resources. Thus, it is always challenging to have complete optimal scheduling of the user tasks. In this research, we proposed an adaptive load-balanced task scheduling (ALTS) approach for cloud computing. The proposed task scheduling algorithm maps all incoming tasks to the available VMs in a load-balanced way to reduce the makespan, maximize resource utilization, and adaptively minimize the SLA violation. The performance of the proposed task scheduling algorithm is evaluated and compared with the state-of-the-art task scheduling ACO, GA, and GAACO approaches concerning average resource utilization (ARUR), Makespan, and SLA violation. The proposed approach has revealed significant improvements concerning the makespan, SLA violation, and resource utilization against the compared approaches.

Minimizing Energy Consumption and SLA Violation in Fog Computing Using Artificial Neural Network

2020 ◽  
Vol 10 ◽  
Author(s):  
Shivi Sharma ◽  
Hemraj Saini
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Cloud Computing ◽  
Energy Consumption ◽  
Fog Computing ◽  
Multi Objective ◽  
Sla Violation ◽  
Artificial Neural ◽  
Reduction Of Energy Consumption ◽  
Data Centres

: With the fast development of cloud computing methods, exponential growth is faced by number of users. It is complex for traditional data centres for performing number of jobs in real time because of inadequate resources bandwidth. Therefore, the method of fog computing is recommended for supporting and for providing fast cloud services. It is not a substitute but is a powerful complement of cloud computing. Reduction of energy consumption through the notion of fog computing has certainly been a challenge for the current researcher ,industry and community. Various industries including finance and health care do require a rich resource based platform for the purpose of processing large amount of data with cloud computing across fog architecture. The consumption of energy across fog servers relies on allocating techniques for services (user requests).It facilitates processing at the edge with the probability to interact with cloud. This article has proposed energy aware scheduling by using Artificial neural network (ANN) and Modified multi objective job scheduling (MMJS) techniques. The emphasis of the work is on reduction of energy consumption rate with less Service level agreement (SLA) violation in fog computing for data centres. The result shows that there is 3.9% reduction in SLA Violation when multi-objective function with ANN is applied.

A privacy-based SLA violation detection model for the security of cloud computing

2017 ◽  
Vol 14 (9) ◽  
pp. 155-165 ◽  
Author(s):  
Shengli Zhou ◽  
Lifa Wu ◽  
Canghong Jin
Keyword(s):  
Cloud Computing ◽  
Detection Model ◽  
Sla Violation ◽  
Violation Detection

scholarly journals Adaptive Energy-Aware Algorithms for Minimizing Energy Consumption and SLA Violation in Cloud Computing

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 55923-55936 ◽  
Author(s):  
Rahul Yadav ◽  
Weizhe Zhang ◽  
Omprakash Kaiwartya ◽  
Prabhat Ranjan Singh ◽  
Ibrahim A. Elgendy ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Aware ◽  
Sla Violation

Research of the Emergence of Virtual Organizations Based on Cloud Computing Environment

2014 ◽  
Vol 644-650 ◽  
pp. 2290-2294
Author(s):  
Xue Bai ◽  
Hong Wei Kang ◽  
Qing Yi Chen ◽  
Xing Ping Sun ◽  
Yong Shen ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Social Resources ◽  
Virtual Organizations ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Complex Adaptive ◽  
Manufacturing Resources ◽  
Agent Characteristics

In the cloud computing environment, resources of services encapsulation extend from initial computing resources to all other encapsulated social resources, such as manufacturing resources, financial resources, etc. Increasingly, services are reflecting the agent characteristics. This paper proposes that the cloud computing environment is a complex adaptive system of which the service is the service agent. With the emergence of its core, the model of interactions between service agents has been established by synthesizing theories and technologies of various disciplines like System Science, Economics, Management and Computer Science. By using the CAS theory as the technical route of cloud computing environment and its service agents, we can draw the conclusion that virtual organizations will spring up because of the combination of service agents.

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