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Security challenges for workflow allocation model in cloud computing environment: a comprehensive survey, framework, taxonomy, open issues, and future directions

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Abstract

In cloud computing environment, the workflow allocation mainly focuses on task assignment to satisfy the quality-of-service (QoS) standards and workload balancing by the best use of the demanded resources as a service on pay per use basis to optimize objectives from service level agreements. In secured workflow allocation (SWA), the intermediate data transfers in sensitive workflow tasks demand security requirements during the execution across the virtual machines. Security-aware workflow execution challenges result in a significant share of security overhead which affects the QoS performance. The aim of this work is to facilitate the researcher's selection of suitable SWA approaches from the existing approaches in the literature. To achieve this, we have comprehensively reviewed the current state-of-the-art approaches of the SWA models in cloud computing environments. Also, a secured workflow allocation challenges taxonomy by describing the security overhead model and QoS objectives and constraints is presented. Finally, it determines and discusses the existing open issues, challenges, and future research direction in the SWA model based on the study's literature review. The study will help researchers in the domain with current security challenges for SWA research trends.

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Data availability

Data and materials sharing is not applicable to this article as no new data were created or analyzed in this study. Only some sources are used for this study, which is explained in Sect. 2.4.

Abbreviations

ABC:

Artificial bee colony

ACO:

Ant colony optimization

CEDP:

Cost and energy aware data placement method

CESTAD:

Cost-effective and security-aware multi-hop resource-sharing task allocation algorithm for dynamic WSNs

CPM:

Cost prediction matrix

DLS:

Dynamic level scheduling

EERS:

Energy-efficient and reliability aware workflow task scheduling

EMCK:

Extended multiple-choice knapsack

FFBAT:

Firefly and BAT

GA :

Genetic algorithm

GASF:

Genetic algorithm-based secure framework

HEFT:

Heterogenous earliest finish time

HSOS-SOA:

Hybrid multi-objective optimization algorithm using SOS and SOA

ICS:

Industrial control systems

IE-ABC:

Improved efficient-ABC

ILPSO:

Integer linear programming security optimization

MDP:

Markov decision process

MMA:

Matching and multi-round allocation

MOPA:

Multi-objective privacy-aware workflow scheduling Algorithm

MOWS:

Multi-objective workflow scheduling

PSO:

Particle swarm optimization

PSLS:

Privacy and security-aware list scheduling

PSSA:

Privacy and security-aware simulated annealing

RATSA:

Reliability-aware task scheduling algorithm

REMWM:

Reliability, rental cost, and energy-aware multi-workflow scheduling in the multi-cloud

SABA:

Security-aware and budget-aware workflow scheduling strategy

SAI:

Security-aware intermediate data placement

SAWA:

Security aware workflow allocation

SAHEFT:

Security aware HEFT

SAST:

Sensitivity annotation for security tasks

SAWS:

Security-aware workflow scheduling

SCAS:

Security and cost aware scheduling

SCP:

Set covering problem

SCEDA:

Security driven cost effective deadline aware workflow allocation

SCPS:

Secured cost prediction-based scheduling

SCEAH:

Security, cost, and energy aware heuristic

SDLS:

Security driven DLS

SDS:

Security driven scheduling

SWA:

Secured workflow allocation

SEWA:

Security driven energy efficient workflow allocation

SLA:

Service level agreement

SOA:

Seagull optimization algorithm

SOM :

Security overhead model

SODA:

Security oriented deadline aware workflow allocation

SOLID:

Scheduling approach with selective tasks duplication

SOS:

Symbiotic organisms search

SPHEFT:

Security prioritized HEFT

SPMWA:

Security prioritized multiple workflow allocation

S-PSO:

Set-based particle swarm optimization

SPSO:

Smart particle swarm optimization

SFLA:

Shuffled frog-leaping algorithm

SVNPSO:

Smart variable neighborhood PSO

T-Aware:

Trust aware task allocation

TBHSA:

Trust-based heuristic scheduling algorithm

TMWS:

Trust-based meta heuristic workflow scheduling

TMOWS:

Trust services-oriented multi-objectives workflow scheduling

TSA:

Trust-based workflow scheduling algorithm

TSS:

Trust-based stochastic scheduling

TWFS:

Trust service-oriented workflow scheduling

WFS:

Workflow security scheduling

WMS:

Workflow management system

WSNs:

Wireless sensor networks

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Authors and Affiliations

  1. Department of Computer Science, Aligarh Muslim University, Aligarh, India

    Mahfooz Alam & Suhel Mustajab

  2. Department of Commerce, Aligarh Muslim University, Aligarh, India

    Mohammad Shahid

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  1. Mahfooz Alam
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  2. Mohammad Shahid
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Contributions

MA contributed to main idea, methodology, literature search, data analysis, figures, and writing—original draft preparation—review & editing; MS contributed to main idea, writing—original draft preparation, data analysis, writing—review & editing; SM contributed to resources, writing—review & editing; and MS and SM supervised the study. All the authors reviewed the manuscript.

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Correspondence to Mohammad Shahid.

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Alam, M., Shahid, M. & Mustajab, S. Security challenges for workflow allocation model in cloud computing environment: a comprehensive survey, framework, taxonomy, open issues, and future directions. J Supercomput 80, 11491–11555 (2024). https://doi.org/10.1007/s11227-023-05873-1

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