ARMCO: Advanced topics in resource management for ubiquitous cloud computing: An adaptive approach

Pop, Florin; Potop-Butucaru, Maria

doi:10.1016/j.future.2015.07.016

Cited by 23 publications

(8 citation statements)

References 17 publications

(1 reference statement)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cloud computing is one of the recent developments in the field of computing which enables limitless usage of Information Technology in diverse domains such as medicine, business, mobile system, smart systems, environmental computing etc [ 1 , 2 ]. This has lead to rapid adoption of cloud computing in recent years, because it acts as an efficient computing paradigm for renting Information Technology (IT) services and infrastructures based on pay-per-use model [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Symbiotic Organisms Search Optimization Algorithm for Scheduling of Tasks on Cloud Computing Environment

Mohammed

Ngadi

2016

PLoS ONE

View full text Add to dashboard Cite

Cloud computing has attracted significant attention from research community because of rapid migration rate of Information Technology services to its domain. Advances in virtualization technology has made cloud computing very popular as a result of easier deployment of application services. Tasks are submitted to cloud datacenters to be processed on pay as you go fashion. Task scheduling is one the significant research challenges in cloud computing environment. The current formulation of task scheduling problems has been shown to be NP-complete, hence finding the exact solution especially for large problem sizes is intractable. The heterogeneous and dynamic feature of cloud resources makes optimum task scheduling non-trivial. Therefore, efficient task scheduling algorithms are required for optimum resource utilization. Symbiotic Organisms Search (SOS) has been shown to perform competitively with Particle Swarm Optimization (PSO). The aim of this study is to optimize task scheduling in cloud computing environment based on a proposed Simulated Annealing (SA) based SOS (SASOS) in order to improve the convergence rate and quality of solution of SOS. The SOS algorithm has a strong global exploration capability and uses fewer parameters. The systematic reasoning ability of SA is employed to find better solutions on local solution regions, hence, adding exploration ability to SOS. Also, a fitness function is proposed which takes into account the utilization level of virtual machines (VMs) which reduced makespan and degree of imbalance among VMs. CloudSim toolkit was used to evaluate the efficiency of the proposed method using both synthetic and standard workload. Results of simulation showed that hybrid SOS performs better than SOS in terms of convergence speed, response time, degree of imbalance, and makespan.

show abstract

Section: Introductionmentioning

confidence: 99%

Hybrid Symbiotic Organisms Search Optimization Algorithm for Scheduling of Tasks on Cloud Computing Environment

Mohammed

Ngadi

2016

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…The plan is for Google to develop the networks by teaming up with local telecommunications firms and cloud / equipment providers in the emerging markets [54,55].…”

Section: Results and Impactmentioning

confidence: 99%

Basic Internet Foundation and Cloud Computing

Suciu¹,

Butca²,

Suciu³

et al. 2015

2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)

View full text Add to dashboard Cite

Basic Internet Foundation is an institute that aims to ensure optimized content delivery for capacity-limited networks. In this paper we describe the foundation's initiative in offering free access to low capacity Internet to people in areas with low admission and economic problems and/or no Internet coverage. The main contribution of this paper consists in pointing out solutions that this foundation proposes, as well as what other programs or companies have found encouraging the Internet development and adoption of Cloud Computing.

show abstract

“…Pop F and Potop-Butucaru M [17] employed adaptive methods they were leaning on: self-controllable, self-managerial systems; dynamic, accommodative and machine learning dependent disseminated algorithms; fault acceptance, dependability, accessibility of disseminated systems. Cloud Computing came with face up to: increase the revenue for cloud service supplier, reduce the expenses for clients and being responsive with the surroundings.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient VM Migration in Cloud Datacenter using Dolphin Echolocation Optimization with Tchebycheff Algorithm

Patel¹

2019

IJRTE

View full text Add to dashboard Cite

The workload in cloud computing surroundings changes progressively delivering unwanted circumstances, for example, load unbalancing and minor usage. Virtual machine migration is an impressive plan in such circumstances inorder to improve system performance. With a specific end goal to give productive energy virtual machine migration is essential that migrates a running virtual machine without disconnecting the client or application. In any case, an algorithm in view of a single objective is generally familiar with to coordinate the migration process. Unexpectedly, there stay alive unconsidered variables affecting the migration process, for example, burden capacity, power utilization and resource wastage. We offer a multi-objective algorithm for obtaining VM migration by evaluating the multi objectives that are responsible for migration overhead. In this manner, we suggest a narrative relocation approach united by a Multi objective Dolphin Echolocation Optimization Algorithm (MO-DEOA) to assess several objectives. The aim is to efficiently obtain improved migration that concurrently diminishes power consumption by guaranteeing the performance of the system.

show abstract

ARMCO: Advanced topics in resource management for ubiquitous cloud computing: An adaptive approach

Cited by 23 publications

References 17 publications

Hybrid Symbiotic Organisms Search Optimization Algorithm for Scheduling of Tasks on Cloud Computing Environment

Hybrid Symbiotic Organisms Search Optimization Algorithm for Scheduling of Tasks on Cloud Computing Environment

Basic Internet Foundation and Cloud Computing

Energy Efficient VM Migration in Cloud Datacenter using Dolphin Echolocation Optimization with Tchebycheff Algorithm

Contact Info

Product

Resources

About