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Approximation Algorithms for Energy Minimization in Cloud Service Allocation under Reliability Constraints
[article]
2013
arXiv
pre-print
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We consider allocation problems that arise in the context of service allocation in Clouds. ...
For each allocation problem and each energy model, we prove deterministic approximation ratios on the consumed energy for algorithms that provide guaranteed probability failures, as well as an efficient ...
allocation under reliability constraints on Clouds. ...
arXiv:1302.4414v2
fatcat:ewerkunwnzgxzl2srh6njh7l7u
Approximation algorithms for energy minimization in Cloud service allocation under reliability constraints
2013
20th Annual International Conference on High Performance Computing
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We consider allocation problems that arise in the context of service allocation in Clouds. ...
We prove deterministic approximation ratios on the consumed energy for algorithms that provide guaranteed reliability and we provide an extensive set of simulations that prove that homogeneous solutions ...
under reliability constraints in Clouds. ...
doi:10.1109/hipc.2013.6799123
dblp:conf/hipc/BeaumontDR13
fatcat:3d7dyvedfzbwnllo23hnfh7nle
Multi-Criteria Virtual Machine Placement in Cloud Computing Environments: A literature Review
[article]
2018
arXiv
pre-print
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The existing solutions are also classified based on whether they adopt heuristic, deterministic, meta-heuristic or approximation algorithms. ...
The issue of placing virtual machines (VMP) in cloud environments is an important challenge that has been thoroughly addressed, although not yet completely resolved. ...
issue to address for Cloud Service Providers in order to deal with under-provisioning (saturation) and over-provisioning (under-utilization) problems of cloud resources. ...
arXiv:1802.05113v1
fatcat:faiazufoq5fphmdd4qefdh5aje
Optimized Energy Efficient Virtual Machine Placement Algorithm and Techniques for Cloud Data Centers
2016
Journal of Computer Science
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Hence there is need for green computing and for energy efficient management of cloud data center resources besides meeting the QoS constraints. ...
Due to increase use of cloud services and infrastructure by various cloud providers, uses of energy day by day increase that's why energy consumption increase lots. ...
Rajkumar Buyya, Director, CLOUDS Laboratory, Dr. Anton Beloglazov, Researcher, Google, Dr. S. Rama Mohan, IITRAM and Dr. D.G. Thakore, BVM, India for their able guidance and motivation. ...
doi:10.3844/jcssp.2016.448.454
fatcat:lnfkeng3kja7dffreuehjva4cu
A Novel Local Search-Based Approximation Algorithm to Optimize Virtual Machine Placement With Resource Constraints
2021
MATEC Web of Conferences
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Many problems in cloud computing are not solvable in polynomial time and only option left is to choose approximate solution instead of optimum. ...
resource utilization for benchmark instances collected from azure private cloud data center. ...
In this evaluation we have found that during allocation if any of the machine used by more than two services or applications, our new approximation algorithm skips it for allocation. ...
doi:10.1051/matecconf/202133504007
fatcat:fciwxbpwgvgfnfxqr335py6pwa
A Resource Allocation Model Based on Trust Evaluation in Multi-Cloud Environments
2021
IEEE Access
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Selecting an optimal channel for improving reliability and minimizing energy budget is the objective of this work [4] . ...
For an appropriate VM allocation in a cloud, a trafficaware algorithm is presented in [17] . A swarm optimization algorithm is applied for solving the VM allocation problem. ...
doi:10.1109/access.2021.3100316
fatcat:drkp5hn2rjbtxhwbsgkegwh3hq
Efficiency aware scheduling techniques in cloud computing: a descriptive literature review
2021
PeerJ Computer Science
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An efficient Scheduling algorithm must enhance the implementation of goals like scheduling cost, load balancing, makespan time, security awareness, energy consumption, reliability, service level agreement ...
Resource scheduling plays a fundamental role in the well-organized allocation of resources to every task in the cloud environment. ...
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. ...
doi:10.7717/peerj-cs.509
pmid:34013035
pmcid:PMC8114819
fatcat:yyyc7wmpmrabreu6ji7bqhs5by
Review of the Research on the Optimization of the Energy Consumption of the Cloud Platform
2016
International Journal of Smart Home
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constraint application, the optimization for energy consumption and resources in cloud computing. ...
The high-energy consumption of the cloud platform and the schedule of multi-constrained combination in cloud applications is challenging issues faced by the cloud computing. ...
combination constraint application, the optimization for energy consumption and resources in cloud computing. ...
doi:10.14257/ijsh.2016.10.8.23
fatcat:hwbgcqe4sfcntlesjsx5yj2ssu
An Optimization Approach for Utilizing Cloud Services for Mobile Devices in Cloud Environment
2015
Informatica
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The mobile cloud service provisioning optimization is conducted in parallel under the deadline, budget and energy expenditure constraint. ...
The paper proposes a distributed optimization algorithm for utilizing cloud services for mobile devices. ...
Secondly, the experiments aim to compare proposed optimization algorithm for utilizing cloud services for mobile devices with mobility-aware optimal service allocation in mobile cloud (MuSIC). ...
doi:10.15388/informatica.2015.40
fatcat:6qpdmkb2xrepvpewip744hu3ju
workload forecasting and resource management models based on machine learning for cloud computing environments
[article]
2021
arXiv
pre-print
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The workload prediction and resource allocation significantly play an inevitable role in production of an efficient cloud environment. ...
The proactive estimation of future workload followed by decision of resource allocation have become a prior solution to handle other in-built challenges like the under/over-loading of physical machines ...
The accurate estimation of requirement of resources in future is inevitable in providing reliable and highly available cloud services during efficient resource management. ...
arXiv:2106.15112v1
fatcat:cngak4jdvzhjlpfa4jibfne23m
Factory Automation: Resource Allocation of an Elevated LiDAR System with URLLC Requirements
[article]
2020
arXiv
pre-print
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A maximum decoder error probability minimization problem and a total energy minimization problem have been considered in this work to analytically evaluate the performance of the ELiD system under different ...
In this work, the resource allocation problem for an infrastructure-based communication architecture (Elevated LiDAR system/ ELiD) has been considered which can support the autonomous driving in a factory ...
The symbol sharing algorithm has been proposed to solve the problem as shown below, Algorithm 1: Symbol sharing algorithm for total energy minimization of the ELiD system Input: n,h,σ,D,M,s t ,α Output ...
arXiv:2003.01979v1
fatcat:tdf66cwsjzezpjgkmdbbfrum7m
Efficient and Robust Allocation Algorithms in Clouds under Memory Constraints
[article]
2013
arXiv
pre-print
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We consider robust resource allocation of services in Clouds. ...
First, we propose a resource allocation strategy whose complexity is logarithmic in the number of resources, what makes it very efficient for large platforms. ...
In Section 3, we propose an algorithm for solving the resource allocation problem under reliability constraints. ...
arXiv:1310.5255v1
fatcat:4vfealziqbcl7e7hiqs6grboqe
Factory Automation: Resource Allocation of an Elevated LiDAR System with URLLC Requirements
2020
2020 2nd 6G Wireless Summit (6G SUMMIT)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
A maximum decoder error probability minimization problem and a total energy minimization problem have been considered in this work to analytically evaluate the performance of the ELiD system under different ...
In this work, the resource allocation problem for an infrastructure-based communication architecture (Elevated LiDAR system/ ELiD) has been considered which can support the autonomous driving in a factory ...
The symbol sharing algorithm has been proposed to solve the problem as shown below, Algorithm 1 Symbol sharing algorithm for total energy minimization of the ELiD system Input: n,h,σ, D, M, s t , α Output ...
doi:10.1109/6gsummit49458.2020.9083914
dblp:conf/6gsummit/JayaweeraMRL20
fatcat:pufihduqrrgzrmwsy6nomhgjvy
Resource Scheduling in Edge Computing: A Survey
[article]
2021
arXiv
pre-print
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By moving the services and functions located in the cloud to the proximity of users, edge computing can provide powerful communication, storage, networking, and communication capacity. ...
Specifically, we present the architecture of edge computing, under which different collaborative manners for resource scheduling are discussed. ...
They leveraged the inherently collaborative nature of AR applications and solved the energy expenditure minimization problem with low-latency constraint by the successive convex approximation algorithm ...
arXiv:2108.08059v1
fatcat:oo4lepcn3rhdfafefw5lkq2lia
A review on various optimization techniques of resource provisioning in cloud computing
2019
International Journal of Electrical and Computer Engineering (IJECE)
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There is a much research avenue available for solving this problem as it is in the real-world. Here, in this paper we provide details about various optimization techniques for resource provisioning. ...
While resource over-provisioning can cost users more than necessary, resource under provisioning hurts the application performance. ...
Static provisioning Cloud service provider allocates resources to consumer in advance. ...
doi:10.11591/ijece.v9i1.pp629-634
fatcat:r3pmtiu5vfcibhhmffjtgmp7qi
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