Implementing Diverse Messaging Models with Self-Managing Properties using IFLOW

Kumar, V. Ravi; Cai, Zhiyu; Cooper, Brian F.; Eisenhauer, Greg; Schwan, Karsten; Mansour, Mohamed S.; Seshasayee, Balasubramanian; Widener, Patrick

doi:10.1109/icac.2006.1662404

Cited by 25 publications

(29 citation statements)

References 13 publications

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“…While this problem is similar to query plan optimization in distributed DBMS [25] and distributed stream processing [11], data in a relation or a stream have a known schema which simplifies matching and routing. Moreover, a database query is evaluated once against existing data, while a subscription is evaluated against publications over time.…”

Section: Related Workmentioning

confidence: 99%

“…This may result in different optimization strategies and cost models. In the IFLOW [11] distributed stream processing engine, a set of operators are installed in the network to process streams. IFLOW nodes are organized in a cluster hierarchy, with nodes higher in the hierarchy assigned more responsibility, whereas in our approach, brokers have equal responsibility.…”

Section: Related Workmentioning

confidence: 99%

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Adaptive Content-Based Routing in General Overlay Topologies

Muthusamy

Jacobsen

2008

Middleware 2008

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Abstract. This paper develops content-based publish/subscribe algorithms to support general overlay topologies, as opposed to traditional acyclic or tree-based topologies. Among other benefits, publication routes can adapt to dynamic conditions by choosing among alternate routing paths, and composite events can be detected at optimal points in the network. The algorithms are implemented in the PADRES publish/subscribe system and evaluated in a controlled local environment and a wide-area PlanetLab deployment. Atomic subscription notification delivery time improves by 20% in a well connected network, and composite subscriptions can be processed with 80% less network traffic and notifications delivered with about half the end to end delay.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Adaptive Content-Based Routing in General Overlay Topologies

Muthusamy

Jacobsen

2008

Middleware 2008

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“…which represents the business-utility calculation model and the constants are determined by business level objectives [8,5], or using more detailed formulation described later. This equation expresses the key insight that net-utility depends not only on MTBF, but also on the soft-checkpoint frequency used in a system, the latter both positively contributing to net-utility (by reducing the denominator) and directly reducing net-utility (by increasing the term being subtracted).…”

Section: Availability-utility Formulationmentioning

confidence: 99%

“…IFLOW [5] is an information flow middleware developed at Georgia Tech. IFLOW implements the information flow abstraction of Section 2.1 and provides methods to deploy and then optimize (by migrating operators) the information flow.…”

Section: Middleware Implementationmentioning

confidence: 99%

“…We present several techniques, based on real-world case studies, to deal with such faults. Proactive availability-management techniques have been integrated into IFLOW, a high performance information flow middleware described in [5]. The outcome is a flexible, distributed middleware for running large-scale information flows and for managing their availability.…”

Section: Introductionmentioning

confidence: 99%

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Utility-Driven Proactive Management of Availability in Enterprise-Scale Information Flows

Cai

Kumar

Cooper

et al. 2006

Lecture Notes in Computer Science

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Abstract. Enterprises rely critically on the timely and sustained delivery of information. To support this need, we augment information flow middleware with new functionality that provides high levels of availability to distributed applications while at the same time maximizing the utility end users derive from such information. Specifically, the paper presents utility-driven 'proactive availabilitymanagement' techniques to offer (1) information flows that dynamically selfdetermine their availability requirement based on high-level utility specifications, (2) flows that can trade recovery time for performance based on the 'perceived' stability of and failure predictions (early alarm) for the underlying system, and (3) methods, based on real-world case studies, to deal with both transient and non-transient failures. Utility-driven 'proactive availability-management' is integrated into information flow middleware and used with representative applications. Experiments reported in the paper demonstrate middleware capability to self-determine availability guarantees, to offer improved performance versus a statically configured system, and to be resilient to a wide range of faults.

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iManage: Policy-Driven Self-management for Enterprise-Scale Systems

Kumar

Cooper

Eisenhauer

et al. 2007

Lecture Notes in Computer Science

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Abstract. It is obvious that big, complex enterprise systems are hard to manage. What is not obvious is how to make them more manageable. Although there is a growing body of research into system self-management, many techniques are either too narrow, focusing on a single component rather than the entire system, or not robust enough, failing to scale or respond to the full range of an administrator's needs. In our iManage system we have developed a policy-driven system modeling framework that aims to bridge the gap between manageable components and manageable systems. In particular, iManage provides: (1) system statespace partitioning, which divides a large system state-space into partitions that are more amenable to constructing system models and developing policies, (2) online model and policy adaptation to allow the self-management infrastructure to deal gracefully with changes in operating environment, system configuration, and workload, and (3) tractability and trust, where tractability allows an administrator to understand why the system chose a particular policy and also influence that decision, and trust allows an administrator to understand the system's confidence in a proposed, automated action. Simulations driven by scenarios given to us by our industrial collaborators demonstrate that iManage is effective both at constructing useful system models and in using those models to drive automated system management.

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Implementing Diverse Messaging Models with Self-Managing Properties using IFLOW

Cited by 25 publications

References 13 publications

Adaptive Content-Based Routing in General Overlay Topologies

Adaptive Content-Based Routing in General Overlay Topologies

Utility-Driven Proactive Management of Availability in Enterprise-Scale Information Flows

iManage: Policy-Driven Self-management for Enterprise-Scale Systems

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