Online Multiple Workflow Scheduling under Privacy and Deadline in Hybrid Cloud Environment

被引:16
|
作者
Sharif, Shaghayegh [1 ]
Taheri, Javid [1 ]
Zomaya, Albert Y. [1 ]
Nepal, Surya [2 ]
机构
[1] Univ Sydney, Sch Informat Technol, Sydney, NSW, Australia
[2] CSIRO, Computat Informat, Sydney, NSW, Australia
来源
2014 IEEE 6TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE (CLOUDCOM) | 2014年
关键词
SEARCH;
D O I
10.1109/CloudCom.2014.128
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Organizations overcome resource shortages by utilizing the multiple services of cloud providers. This leads to sharing resources among various public and private clouds in order to improve the performance while executing the organization's complex workflow systems. Executing multiple workflows in such a hybrid environment needs an effective mapping between workflow's tasks and cloud resources that considers the tradeoff between budget and time. There is also a challenge when organizations are forced to deploy workflow's tasks on public resources to execute the tasks before their requested deadlines without violating customers' privacy. In recent years, several online and static approaches were presented to schedule single or multiple workflows considering deadline and budget in cloud environments. However, these studies neglect the privacy constraint along with other SLAs such as deadline and budget. In this paper, we present two online algorithms to schedule multiple workflows under deadline and privacy constraints, while considering the dynamic nature of hybrid cloud environment. The proposed algorithms were evaluated with a series of simulation as well as real experiments using real-life privacy constrained healthcare workflows. Our two algorithms use different methods to rank the tasks: one utilises a novel technique for ranking, the other uses a similar approach to current existing studies. Results show that the novel approach outperforms the current existing ranking methods.
引用
收藏
页码:455 / 462
页数:8
相关论文
共 50 条
  • [11] Online Scheduling of Multiple Deadline-constrained Workflow Applications in Distributed Systems
    Zheng, Wei
    Xu, Chao
    Bao, Wen
    2015 THIRD INTERNATIONAL CONFERENCE ON ADVANCED CLOUD AND BIG DATA, 2015, : 104 - 111
  • [12] Cost Effective Genetic Algorithm for Workflow Scheduling in Cloud Under Deadline Constraint
    Meena, Jasraj
    Kumar, Malay
    Vardhan, Manu
    IEEE ACCESS, 2016, 4 : 5065 - 5082
  • [13] A Novel Deadline-Constrained Scheduling to Preserve Data Privacy in Hybrid Cloud
    Abrishami, Hamid
    Rezaeian, Amin
    Naghibzadeh, Mahmoud
    2015 5TH INTERNATIONAL CONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING (ICCKE), 2015, : 234 - 239
  • [14] Cloud workflow scheduling with deadline and time slots constraints
    Li, Xiaoping
    Qian, Lihua
    Yang, Lie
    PROCEEDINGS OF THE 2015 IEEE 19TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD), 2015, : 606 - 613
  • [15] Deadline-constrained security-aware workflow scheduling in hybrid cloud architecture
    Abdi, Somayeh
    Ashjaei, Mohammad
    Mubeen, Saad
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2025, 162
  • [16] Cloud-edge-end workflow scheduling with multiple privacy levels
    Wang, Shuang
    Yuan, Zian
    Zhang, Xiaodong
    Wu, Jiawen
    Wang, Yamin
    JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2024, 189
  • [17] A hybrid genetic algorithm for scientific workflow scheduling in cloud environment
    Hatem Aziza
    Saoussen Krichen
    Neural Computing and Applications, 2020, 32 : 15263 - 15278
  • [18] A hybrid genetic algorithm for scientific workflow scheduling in cloud environment
    Aziza, Hatem
    Krichen, Saoussen
    NEURAL COMPUTING & APPLICATIONS, 2020, 32 (18): : 15263 - 15278
  • [19] Cost-Effective Algorithm for Workflow Scheduling in Cloud Computing Under Deadline Constraint
    Nasr, Aida A.
    El-Bahnasawy, Nirmeen A.
    Attiya, Gamal
    El-Sayed, Ayman
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2019, 44 (04) : 3765 - 3780
  • [20] Elastic resource provisioning for scientific workflow scheduling in cloud under budget and deadline constraints
    Shi, Jiyuan
    Luo, Junzhou
    Dong, Fang
    Zhang, Jinghui
    Zhang, Junxue
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2016, 19 (01): : 167 - 182