Journal Article10.21742/IJCS.2015.2.2.05
QoS based Workload Design Patterns in Cloud Computing: A Literature Review
Sukhpal Singh,Inderveer Chana +1 more
- 30 Dec 2015
Vol. 2, Iss: 2, pp 37-46
TL;DR: This paper has identified workload design patterns and mapped with the cloud workloads based on their QoS requirements for better provisioning of resources and designed a workload design pattern forcloud workloads.
read more
Abstract: Provisioning of appropriate resources to cloud workloads depends on the Quality of Service (QoS) requirements of cloud workloads and workload design patterns. Based on application requirements of cloud users, discovery and allocation of best workload – resource pair is an optimization problem. Acceptable QoS cannot be provided to the cloud users until provisioning of resources is offered as a crucial ability. In this paper, we have identified workload design patterns and mapped with the cloud workloads based on their QoS requirements for better provisioning of resources. Further, process of cloud workload design patterns has been discussed along with problems in patterns and their terminology in cloud. Based on existing design patterns, we have designed a workload design pattern for cloud workloads.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
•Proceedings Article
Misuse patterns for cloud computing
Keiko Hashizume,Eduardo B. Fernandez,Nobukazu Yoshioka +2 more
- 01 Jan 2011
TL;DR: In this article, a misuse pattern describes how an information misuse is performed from the point of view of the attacker, it defines the environment where the attack was performed, how the attack is performed, countermeasures to stop it, and how to find forensic information to trace the attack once it happens.
24
Improving Architectural Reusability for Resource Allocation Framework in Futuristic Cloud Computing Using Decision Tree Based Multi-objective Automated Approach
Husain Godhrawala
- 01 Jan 2022
TL;DR: In this paper , a rule-based analysis pattern is proposed to dynamically reconfigure resource allocation processes in a multi-tenant cloud resource allocation problem, which uses various attributes of clouds, resources, subscribers and requests along with heuristic data like configurations, policies, strategies and methods to efficiently identify and apply rule of allocation.
5
•Dissertation
QoS-aware Autonomic Resource Provisioning and Scheduling for Cloud Computing
Sukhpal Singh,Inderveer Chana +1 more
- 24 Oct 2016
2
References
•Book
Design Patterns: Elements of Reusable Object-Oriented Software
Erich Gamma,Richard Helm,Ralph E. Johnson,John Vlissides +3 more
- 01 Jan 1994
TL;DR: The book is an introduction to the idea of design patterns in software engineering, and a catalog of twenty-three common patterns, which most experienced OOP designers will find out they've known about patterns all along.
24.8K
A Survey on Resource Scheduling in Cloud Computing: Issues and Challenges
Sukhpal Singh,Inderveer Chana +1 more
- 01 Jun 2016
TL;DR: Methodical analysis of this research work will help researchers to find the important characteristics of resource scheduling algorithms and also will help to select most suitable algorithm for scheduling a specific workload.
467
QoS-Aware Autonomic Resource Management in Cloud Computing: A Systematic Review
Sukhpal Singh,Inderveer Chana +1 more
TL;DR: This research work will help researchers find the important characteristics of autonomic resource management and will also help to select the most suitable technique for autonomicresource management in a specific application along with significant future research directions.
203
Cloud resource provisioning: survey, status and future research directions
Sukhpal Singh,Inderveer Chana +1 more
TL;DR: This research depicts a broad methodical literature analysis of cloud resource provisioning in general and cloud resource identification in specific and highlights the previous research, current status and future directions of resource provisioner provisioning and management in cloud computing.
150
QRSF: QoS-aware resource scheduling framework in cloud computing
Sukhpal Singh,Inderveer Chana +1 more
TL;DR: An efficient cloud workload management framework in which cloud workloads have been identified, analyzed and clustered through K-means on the basis of weights assigned and their QoS requirements is presented.
144