id: 05978424
dt: a
an: 05978424
au: Shi, Xuelin; Zhao, Ying
ti: Dynamic resource scheduling and workflow management in cloud computing.
so: Chiu, Dickson K. W. (ed.) et al., Web information systems engineering ‒
    WISE 2010 workshops. WISE 2010 international symposium WISS, and
    international workshops CISE, MBC, Hong Kong, China, December 12‒14,
    2010. Revised selected papers. Berlin: Springer (ISBN
    978-3-642-24395-0/pbk). Lecture Notes in Computer Science 6724, 440-448
    (2011).
py: 2011
pu: Berlin: Springer
la: EN
cc: 
ut: cloud computing; dynamic scheduling; workflow management; QoS
ci: 
li: doi:10.1007/978-3-642-24396-7_35
ab: Summary: Cloud computing is a new trend after grids. Many market-based
    resource management strategies are been brought out to implement
    resource scheduling in cloud computing environment. More and more
    consumers rely on cloud providers to supply computing service, so
    economic effectiveness become crucial decisive factor for scheduling
    policy. In this paper we designed an economic scheduling model with
    business parameters. And a dynamic scheduling algorithm was presented,
    which made a trade-off between economic effectiveness and performance.
    Based on the model and algorithm, we brought out market-oriented
    workflow management architecture for cloud, in which QoS based resource
    allocation mechanism was introduced to meet different consumers’
    demands and improve scheduling efficiency.
rv: