Scheduling and Controlling Semantics for Distributed Resource Based Computing Engines
With the advent of autonomic and cloud computing, computation engines are getting redefined as dynamic configurations of heterogeneous, distributed resources. In this paper,we describe the operational semantics of scheduling and controlling of computation engines configured from component resources subject to dependency and capacity constraints and in accordance with policies and objectives such as priorities and load balancing. The operational semantics provides a novel formal model in denotational style, for establishing properties like computability and dependability in the presence of faults and reported and unreported events. It supports dynamic features such as resource up and down events, synchronized startup, synchronized shutdown, and resource groups/virtual servers. An efficient, interpreter-based implementation using the specified semantics is suggested.
resource configuration formal model denotational semantics operational semantics scheduling and controlling autonomic and cloud computing
Pradeep Varma Vijay K. Naik
IBM India Research Laboratory 4, Block C, Institutional Area,Vasant Kunj,New Delhi 110070, India IBM T. J. Watson Research Center 19 Skyline Drive Hawthorne, NY 10532, USA
国际会议
上海
英文
47-56
2009-07-08（万方平台首次上网日期，不代表论文的发表时间）