A user-level framework for scheduling within service execution environments

Newhouse, T.; Pasquale, Joseph

doi:10.1109/scc.2004.1358020

Cited by 11 publications

(6 citation statements)

References 22 publications

(14 reference statements)

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“…User-level scheduling [14] and ALPS [15] control UNIX processes from a scheduler process by using signals such as SIGSTOP and SIGCONT. User-level sandboxing [6] restricts the CPU usage of processes by changing the priorities of threads.…”

Section: Related Workmentioning

confidence: 99%

Aspect-oriented application-level scheduling for J2EE servers

Kourai

Hibino

Chiba

2007

Proceedings of the 6th International Conference on Aspect-Oriented Software Development

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Achieving sufficient execution performance is a challenging goal of software development. Unfortunately, violating performance requirements is often revealed at a late stage of the development. Fixing a performance problem at such a late stage is difficult in terms of cost and time. To solve this problem, this paper presents QoSWeaver, which provides aspect-oriented application-level scheduling. QoSWeaver weaves scheduling code written in an aspect into application code. The scheduling code gets an application thread to voluntarily yield its execution to implement a scheduling policy. The idea of scheduling at the application level is not new, but aspect-oriented programming makes it more realistic by separation of scheduling code. QoSWeaver also provides a profile-based pointcut generator, which automatically generates pointcuts for fine-grained scheduling. To investigate the ability of QoSWeaver for implementing practical scheduling policies, we used QoSWeaver for tuning the performance of a river monitoring system named Kasendas. For reliable examination, Kasendas was originally developed by an outside corporation and then it was tuned by the authors with QoSWeaver. The authors could successfully improve the performance of Kasendas under heavy workload and the work of the performance tuning was not large.

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Section: Related Workmentioning

confidence: 99%

Aspect-oriented application-level scheduling for J2EE servers

Kourai

Hibino

Chiba

2007

Proceedings of the 6th International Conference on Aspect-Oriented Software Development

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“…Business process mining techniques facilitate knowledge and model discovery from audit trails [23]. System resources can be scheduled based on user-level requirement [10]. Traditional system resource allocation approaches have been studied and compared in the new scenario of service composition [11].…”

Section: Related Workmentioning

confidence: 99%

A Knowledge Model-driven Recommender System for Business Transformation

Chen

Sairamesh

2006

2006 IEEE International Conference on Services Computing (SCC'06)

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Engineering approach for transforming business process and workforce management is an emerging area that is gaining increasing interest for its many promising applications in service science. Yet, three major challenges stand out in engineering any business transformation process. The first challenge is accurate modeling of the transformation knowledge that may be scattered across multiple application domains. The second challenge is efficient and precise real-time evaluation based on the knowledge model. The third challenge will be to generate intelligent recommendations about business transformation that can significantly improve the business process and drive down opportunity costs.This paper proposes an integrated knowledge modeldriven recommender system that effectively addresses all of the three abovementioned challenges of modeling, evaluating, and recommending. Using a real-world case study on warranty processing at a major automotive manufacturer, this paper presents a novel business transformation framework that consists of a knowledge model on business value drivers and metrics, an evaluation engine for processing real-time business events, and a recommendation engine that utilizes information obtained from the evaluation engine to suggest new processes and workforce allocation strategy, which can be subjected to a new cycle of modeling and evaluation to complete a feedback loop. Our experimental study using the real-world data results in a "25/75" rule in predictive warranty data processing: 25% of information contains 75% of business information entropy, thereby demonstrating the effectiveness of the system.

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“…Like CPUReserve, there are other proposals that manage processing at the user level as a means to provide applications with a performance-isolated environment [6][7][8]. Among them, CPUReserve is most similar to DSRT [6], since both ensure minimum and maximum rates for processing usage- [7,8] only limit the processor usage.…”

Section: Introductionmentioning

confidence: 99%

“…Among them, CPUReserve is most similar to DSRT [6], since both ensure minimum and maximum rates for processing usage- [7,8] only limit the processor usage. In DSRT as well as in CPUReserve, processing reservations are implemented by temporizers which, upon expiring, handle the priorities of client applications on the current Operating System.…”

Section: Introductionmentioning

confidence: 99%

“…Others use virtual machines for this purpose. Virtual machines offer users a customized environment in which computer resources are exclusively dedicated to the processes required by the current user [4,5].Taking a different approach from Resource Kernels and virtual machines, some initiatives have attempted to manage resource reservation at the user level; thus, avoiding the need for kernel recompiling or system overload by instancing a large number of virtual machines [6][7][8]. However, these initiatives did not evolve to be applied in more modern scenarios, such as opportunistic grids, utility-computing environments, and multi-processed architectures.…”

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confidence: 99%

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Controlling processing usage at user level: a way to make resource sharing more flexible

Reis

Cerqueira

2010

Concurrency and Computation

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General purpose Operating Systems do not provide effective mechanisms for application processing reservation. To overcome this limitation, some initiatives aim at guaranteeing processing by instrumenting kernels or by isolating the performance through the creation of virtual machines. However, these proceedings may be impractical if the kernel code is not available or high overheads should be avoided. As will be described in this paper, CPUReserve works differently from these approaches. It is a processing reservation system that runs at user level. CPUReserve allows the configuration of the active scheduling policy and simplifies the development of new ones. Thus, it can be used in many computing scenarios such as distributed and shared environments. 279parameterized and should not be used directly by the application developer, since they may affect the system performance as a whole.To support more intuitive processing reservation interfaces, some initiatives, such as Resource Kernels or Resource Containers, seek to develop processing reservation mechanisms by creating kernel extensions, with the purpose of ensuring timely access to the resources of an Operating System [1-3]. Others use virtual machines for this purpose. Virtual machines offer users a customized environment in which computer resources are exclusively dedicated to the processes required by the current user [4,5].Taking a different approach from Resource Kernels and virtual machines, some initiatives have attempted to manage resource reservation at the user level; thus, avoiding the need for kernel recompiling or system overload by instancing a large number of virtual machines [6][7][8]. However, these initiatives did not evolve to be applied in more modern scenarios, such as opportunistic grids, utility-computing environments, and multi-processed architectures. To fulfill this gap, we developed CPUReserve, a service-based mechanism for isolating the performance in distributed systems [9].In a system where processing guarantee is an issue, several sharing policies may be used to achieve different goals. One can, for instance, implement a policy that prioritizes the process with the smaller period or the process with the earliest deadline. Policies that consider characteristics out of the scope of periodicity can also be considered. For example, a policy may prioritize applications from paying clients over non-paying ones. The need for such flexibility made us to provide CPUReserve with a flexible mechanism that allows the configuration of the scheduling policy through the use of a scripting language.This paper describes the design and implementation of CPUReserve, the mechanisms to extend it with new scheduling policies, and some experiments to evaluate the system's effectiveness, performance overhead, and scalability. The remainder of the paper is organized as follows: in Section 2, other works related to CPUReserve are reviewed. In Section 3, implementation details about the way processing constraint is implemented in CPUReserve are presented. S...

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A user-level framework for scheduling within service execution environments

Abstract: Abstract

Cited by 11 publications

References 22 publications

Aspect-oriented application-level scheduling for J2EE servers

Aspect-oriented application-level scheduling for J2EE servers

A Knowledge Model-driven Recommender System for Business Transformation

Controlling processing usage at user level: a way to make resource sharing more flexible

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