Cost-aware challenges for workflow scheduling approaches in cloud computing environments: Taxonomy and opportunities

Alkhanak, Ehab Nabiel; Lee, Sai Peck; Khan, Saif Ur Rehman

doi:10.1016/j.future.2015.01.007

Cited by 140 publications

(54 citation statements)

References 100 publications

(371 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a result, this organizing technique will have to handle named 'on-line' behavior. Scheduling is the allotment of assets to execute a accumulation of jobs [14] and has broad range of usage in entire economic field in present reality situation. Scheduling problems constantly come up in several trade situations a well known as transportation, information processing.…”

Section: Scheduling Systemmentioning

confidence: 99%

See 1 more Smart Citation

Improved Hybrid DLBS Artificial Bee Colony Optimization Algorithm based on Parallel Computing Environment

Pathania¹,

Sharma²

2017

IJCA

View full text Add to dashboard Cite

This paper represents the Parallel Computing is now extremely popular because of its wide variety of applications through internet. The particular service based approaches which are aware from the server selection through the parallel can easily progress toward the cost and performance of parallel computing. A new hybrid DLBS Artificial bee colony optimization algorithm for parallel computing environment has been done. The overall objective of this paper is enlighten the performance analysis on dynamic load balancing strategy (DLBS) with ABC algorithm which enhances the results further by using mean flow time parameter.

show abstract

Section: Scheduling Systemmentioning

confidence: 99%

“…Significant troubles are often separated into smaller sized versions that will then possibly be sorted out all at once [15]. The core component of system is multiprocessor system (MTS) [14,15]. In MTSs, there are multiple input/output modules, multiple processing elements, and multiple memory modules.…”

Section: Introductionmentioning

confidence: 99%

Improved Hybrid DLBS Artificial Bee Colony Optimization Algorithm based on Parallel Computing Environment

Pathania¹,

Sharma²

2017

IJCA

View full text Add to dashboard Cite

show abstract

“…The exhaustive simulation reports about 52% of resource usage reduction against 10% increment in makespan. In [45] the authors reviewed several taxonomies for classification of challenges in Work Flow Scheduling schemes. The taxonomies are specified on the basis of QoS system functionality and system architecture.…”

Section: Heuristic Based Schedulingmentioning

confidence: 99%

Current Perspective in Task Scheduling Techniques in Cloud Computing: A Review

Thaman¹,

Singh²

2016

IJFCST

View full text Add to dashboard Cite

show abstract

“…These scheduling strategies try to find the best workflow to resources mapping, in order to satisfy users' budget and deadline specifications. Alkhanak et al [5] provided an extensive study about proposed cost-aware workflow scheduling strategies. Based on extensive literature review, the authors identified cost-aware workflow scheduling challenges related to robustness, flexibility, and approach design of scheduling approaches.…”

Section: Related Workmentioning

confidence: 99%

“…Since task scheduling is a well-known NPcomplete problem [4], several heuristic algorithms have been proposed for the scheduling of workflows onto distributed systems like Grids and Clouds [5], [6], [7]. These scheduling algorithms follow some cost model, in order to optimize specific objectives, such as execution time, economic cost, and data quality.…”

Section: Introductionmentioning

confidence: 99%

A Study on Cloud Cost Efficiency by Exploiting Idle Billing Period Fractions

Sampaio

Barbosa

2016

2016 IEEE International Conference on Cloud Engineering Workshop (IC2EW)

View full text Add to dashboard Cite

Abstract-In most of the current commercial Clouds, resources are billed based on a time interval equal to one hour, as is the case of virtual machine (VM) instances on Amazon EC2. Such time interval is usually long, and yet the user has to pay for the whole last hour, even if he/she has only used a fraction of it, contradicting the pay-as-you-go model of Clouds.In this paper, we analyse the advantages of adopting alternative scheduling policies that exploit idle last time intervals, in terms of service cost to Cloud users and operating costs to Cloud providers. Using a real-life astronomy workflow application, constrained by user-defined Deadline and Budget quality of service (QoS) parameters, a set of online state-ofthe-art-based scheduling algorithms try different execution and resource provisioning plans. Our results show that exploitation of partially idle last time intervals can reduce the cost of service to the end user, and augments providers competitiveness up to 21.6% through energy efficiency improvement and consequent lowering of operational costs.

show abstract

Cost-aware challenges for workflow scheduling approaches in cloud computing environments: Taxonomy and opportunities

Cited by 140 publications

References 100 publications

Improved Hybrid DLBS Artificial Bee Colony Optimization Algorithm based on Parallel Computing Environment

Improved Hybrid DLBS Artificial Bee Colony Optimization Algorithm based on Parallel Computing Environment

Current Perspective in Task Scheduling Techniques in Cloud Computing: A Review

A Study on Cloud Cost Efficiency by Exploiting Idle Billing Period Fractions

Contact Info

Product

Resources

About