Modeling and evaluating design alternatives for an on-line instrumentation system: A case study

作     者：Waheed, A Rover, DT Hollingsworth, JK 

作者机构：NASA Ames Res Ctr MRJ Technol Solut Moffett Field CA 94035 USA Michigan State Univ Dept Elect Engn E Lansing MI 48824 USA Univ Maryland Dept Comp Sci College Pk MD 20742 USA 

出 版 物：《IEEE TRANSACTIONS ON SOFTWARE ENGINEERING》 (IEEE Trans Software Eng)

年 卷 期：1998年第24卷第6期

页      面：451-470页

核心收录：

基　　金：MSU College of Engineering MSU Lilly Teaching National Science Foundation, NSF, (ASC-9624149) U.S. Department of Energy, USDOE, (DE-FG02-93ER25176) National Institute of Standards and Technology, NIST, (70-NANB-5H0055) Defense Advanced Research Projects Agency, DARPA, (DABT 63-95-C-0072) Midwestern State University, MSU Ames Laboratory 

主　　题：instrumentation system resource occupancy model workload characterization parallel tools parallel and distributed system monitoring intrusion 

摘      要：This paper demonstrates the use of a model-based evaluation approach for instrumentation systems (ISs). The overall objective of this study is to provide early feedback to tool developers regarding IS overhead and performance;such feedback helps developers make appropriate design decisions about alternative system configurations and task scheduling policies. We consider three types of system architectures: network of workstations (NOW), symmetric multiprocessors (SMP), and massively parallel processing (MPP) systems. We develop a Resource OCCupancy (ROCC) model for an on-line IS for an existing tool and parameterize it for an IBM SP-2 platform. This model is simulated to answer several what if questions regarding two policies to schedule instrumentation data forwarding: collect-and-forward (CF) and batch-and-forward (BF). In addition, this study investigates two alternatives for forwarding the instrumentation data: direct and binary tree forwarding for an MPP system. Simulation results indicate that the BF policy can significantly reduce the overhead and that the tree forwarding configuration exhibits desirable scalability characteristics for MPP systems. Initial measurement-based testing results indicate more than 60 percent reduction in the direct IS overhead when the BF policy was added to Paradyn parallel performance measurement tool.