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Journal ArticleDOI

The analytic hierarchy process: task scheduling and resource allocation in cloud computing environment

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TLDR
A model for task-oriented resource allocation in a cloud computing environment where an induced bias matrix is used to identify the inconsistent elements and improve the consistency ratio when conflicting weights in various tasks are assigned is proposed.
Abstract
Resource allocation is a complicated task in cloud computing environment because there are many alternative computers with varying capacities. The goal of this paper is to propose a model for task-oriented resource allocation in a cloud computing environment. Resource allocation task is ranked by the pairwise comparison matrix technique and the Analytic Hierarchy Process giving the available resources and user preferences. The computing resources can be allocated according to the rank of tasks. Furthermore, an induced bias matrix is further used to identify the inconsistent elements and improve the consistency ratio when conflicting weights in various tasks are assigned. Two illustrative examples are introduced to validate the proposed method.

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Citations
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Journal ArticleDOI

A New Model for Determining Weight Coefficients of Criteria in MCDM Models: Full Consistency Method (FUCOM)

TL;DR: The results show that FUCOM provides better results than the BWM and AHP methods, when the relation between consistency and the required number of the comparisons of the criteria are taken into consideration.
Journal ArticleDOI

A belief propagation-based method for task allocation in open and dynamic cloud environments

TL;DR: The evaluation results demonstrate the desirable efficiency of PD-LBP from both the shorter problem solving time and smaller communication requirement of task allocation in dynamic environments.
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Cloud service selection using multicriteria decision analysis.

TL;DR: This paper identifies and synthesizes several MCDA techniques and provides a comprehensive analysis of this technology and presents a taxonomy derived from a survey of the current literature.
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Efficient task scheduling algorithms for heterogeneous multi-cloud environment

TL;DR: Three task scheduling algorithms, called MCC, MEMAX and CMMN for heterogeneous multi-cloud environment, which aim to minimize the makespan and maximize the average cloud utilization are presented.
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Resource management in cloud computing

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References
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Journal ArticleDOI

How to make a decision: The analytic hierarchy process

TL;DR: The Analytic Hierarchy Process (AHP) as discussed by the authors is a multicriteria decision-making approach in which factors are arranged in a hierarchic structure, and the principles and philosophy of the theory are summarized giving general background information of the type of measurement utilized, its properties and applications.
Journal ArticleDOI

Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility

TL;DR: This paper defines Cloud computing and provides the architecture for creating Clouds with market-oriented resource allocation by leveraging technologies such as Virtual Machines (VMs), and provides insights on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain Service Level Agreement (SLA) oriented resource allocation.
Journal ArticleDOI

Cloud computing

Brian Hayes
TL;DR: As software migrates from local PCs to distant Internet servers, users and developers alike go along for the ride.
Journal ArticleDOI

Axiomatic foundation of the analytic hierarchy process

TL;DR: In this article, an axiomatic treatment of the Analytic Hierarchy Process (AHP) is presented, which is a special case of axioms for priority setting in systems with feedback which allow for a wide class of dependencies.
Proceedings ArticleDOI

Cloud computing

TL;DR: The time is right for the members of the emerging cloud computing community to come together around the notion of an open cloud, and these core principles are rooted in the belief that cloud computing should be as open as all other IT technologies.
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