An overview of MSHN: the Management System for Heterogeneous Networks

Hensgen, D.; Kidd, T.; John, D. St.; Schnaidt, Matthew C.; Siegel, Howard Jay; Braun, Tracy D.; Maheswaran, Muthucumaru; Ali, Shoukat; Kim, Jong-Kook; Irvine, Cynthia E.; Levin, Timothy E.; Freund, Richard F.; Kussow, M.; Godfrey, Michael; Duman, A.; Carff, Paul; Kidd, Shirley; Prasanna, Viktor K.; Bhat, Prashanth B.; Alhusaini, Ammar

doi:10.1109/hcw.1999.765132

Cited by 30 publications

(16 citation statements)

References 37 publications

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“…In some systems, a job's priority may depend upon'the particular operating mode of the network [8] . Also, the different data formats of a multiple-format job may have different preferences (e.g., assigned by a user or "hard wired" as part of the application or job-scheduler database), and different levels of resource usage [ 101 [ 121 .…”

Section: Summary Of Security Vectormentioning

confidence: 99%

Quality of Security Service in a Resource Management System Benefit Function

Levin¹,

Irvine²

1999

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Section: Summary Of Security Vectormentioning

confidence: 99%

Quality of Security Service in a Resource Management System Benefit Function

Levin¹,

Irvine²

1999

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“…This research is part of three related DARPA programs: Quorum [HeK99], Battlefield Awareness and Data Dissemination (BADD) [DAR99,Roc96], and the Agile Information Control Environment (AICE) [AIC98]. In the Quorum environment, it is sometimes the case that not all tasks requested can achieve their most preferred QoS by their deadline.…”

Section: --2mentioning

confidence: 99%

A flexible multi-dimensional QoS performance measure framework for distributed heterogeneous systems

et al. 2006

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When users' tasks in a distributed heterogeneous computing environment (e.g., cluster of heterogeneous computers) are allocated resources, the total demand placed on some system resources by the tasks, for a given interval of time, may exceed the availability of those resources. In such a case, some tasks may receive degraded service or be dropped from the system. One part of a measure to quantify the success of a resource management system (RMS) in such a distributed environment is the collective value of the tasks completed during an interval of time, as perceived by the user, application, or policy maker. The Flexible Integrated System Capability (FISC) measure presented here is a measure for quantifying this collective value. The FISC measure is a flexible multidimensional measure, and may include priorities, versions of a task or data, deadlines, situational mode, security, application-and domain-specific QoS, and task dependencies. For an environment where it is important to investigate how well data communication requests are satisfied, the data communication request satisfied can be the basis of the FISC measure instead of tasks completed.

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“…A commander under attack at a foreign embassy might require the highest communication security; whereas a commander under attack on the battlefield might declare, "damn the security, full speed ahead!" The MSHN resource management system is an example of a system in which the management of mode vs. security requirements is designed to be handled automatically [8][9].…”

Section: Security Rangesmentioning

confidence: 99%

Quality of Security Service: An Introduction

Irvine¹,

Levin²

2000

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Abstract. We examine the concept of security as a dimension of Quality of Service in distributed systems. We provide a discussion and examples of user-specified security variables and show how the range of service levels associated with these variables can support the provision of Quality of Security Service. We also discuss various design implications regarding security ranges provided in a QoS-aware distributed system.

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An overview of MSHN: the Management System for Heterogeneous Networks

Abstract: The

Cited by 30 publications

References 37 publications

Quality of Security Service in a Resource Management System Benefit Function

Quality of Security Service in a Resource Management System Benefit Function

A flexible multi-dimensional QoS performance measure framework for distributed heterogeneous systems

Quality of Security Service: An Introduction

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