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Niche: A Platform for Self-Managing Distributed Applications
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS.
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS.
Swedish Institute of Computer Science, Sweden.
Université Européenne de Bretagne, France.
2012 (English)In: Formal and Practical Aspects of Autonomic Computing and Networking: Specification, Development, and Verification / [ed] Phan Cong-Vinh, IGI Global, 2012, 241-283 p.Chapter in book (Refereed)
Abstract [en]

We present Niche, a general-purpose, distributed component management system used to develop, deploy,and execute self-managing distributed applications. Niche consists of both a component-based programming model as well as a distributed runtime environment. It is especially designed for complex distributed applications that run and manage themselves in dynamic and volatile environments. Self-management in dynamic environments is challenging due to the high rate of system or environmental changes and the corresponding need to frequently reconfigure, heal, and tune the application. The challenges are met partly by making use of an underlying overlay in the platform to provide an efficient, location-independent,and robust sensing and actuation infrastructure, and partly by allowing for maximum decentralization of management. We describe the overlay services, the execution environment, showing how the challengesin dynamic environments are met. We also describe the programming model and a high-level design methodology for developing decentralized management, illustrated by two application case studies.

Place, publisher, year, edition, pages
IGI Global, 2012. 241-283 p.
National Category
Computer Science Software Engineering
Identifiers
URN: urn:nbn:se:kth:diva-50235DOI: 10.4018/978-1-60960-845-3.ch010Scopus ID: 2-s2.0-84898222936ISBN: 9781609608453 (print)ISBN: 1609608453 (print)OAI: oai:DiVA.org:kth-50235DiVA: diva2:461358
Projects
FP6 EU-project Grid4All (contract IST-2006-034567)FP6 EU-project SELFMAN (contract IST-2006-034084)
Funder
ICT - The Next Generation
Note

QC 20130823

Available from: 2011-12-02 Created: 2011-12-02 Last updated: 2014-01-27Bibliographically approved
In thesis
1. Self-Management for Large-Scale Distributed Systems
Open this publication in new window or tab >>Self-Management for Large-Scale Distributed Systems
2012 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Autonomic computing aims at making computing systems self-managing by using autonomic managers in order to reduce obstacles caused by management complexity. This thesis presents results of research on self-management for large-scale distributed systems. This research was motivated by the increasing complexity of computing systems and their management.

In the first part, we present our platform, called Niche, for programming self-managing component-based distributed applications. In our work on Niche, we have faced and addressed the following four challenges in achieving self-management in a dynamic environment characterized by volatile resources and high churn: resource discovery, robust and efficient sensing and actuation, management bottleneck, and scale. We present results of our research on addressing the above challenges. Niche implements the autonomic computing architecture, proposed by IBM, in a fully decentralized way. Niche supports a network-transparent view of the system architecture simplifying the design of distributed self-management. Niche provides a concise and expressive API for self-management. The implementation of the platform relies on the scalability and robustness of structured overlay networks. We proceed by presenting a methodology for designing the management part of a distributed self-managing application. We define design steps that include partitioning of management functions and orchestration of multiple autonomic managers.

In the second part, we discuss robustness of management and data consistency, which are necessary in a distributed system. Dealing with the effect of churn on management increases the complexity of the management logic and thus makes its development time consuming and error prone. We propose the abstraction of Robust Management Elements, which are able to heal themselves under continuous churn. Our approach is based on replicating a management element using finite state machine replication with a reconfigurable replica set. Our algorithm automates the reconfiguration (migration) of the replica set in order to tolerate continuous churn. For data consistency, we propose a majority-based distributed key-value store supporting multiple consistency levels that is based on a peer-to-peer network. The store enables the tradeoff between high availability and data consistency. Using majority allows avoiding potential drawbacks of a master-based consistency control, namely, a single-point of failure and a potential performance bottleneck.

In the third part, we investigate self-management for Cloud-based storage systems with the focus on elasticity control using elements of control theory and machine learning. We have conducted research on a number of different designs of an elasticity controller, including a State-Space feedback controller and a controller that combines feedback and feedforward control. We describe our experience in designing an elasticity controller for a Cloud-based key-value store using state-space model that enables to trade-off performance for cost. We describe the steps in designing an elasticity controller. We continue by presenting the design and evaluation of ElastMan, an elasticity controller for Cloud-based elastic key-value stores that combines feedforward and feedback control.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2012. xix, 266 p.
Series
TRITA-ICT-ECS AVH, ISSN 1653-6363 ; 12:04
Keyword
Self-Management, Autonomic Computing, Control Theory, Distributed Systems, Grid Computing, Cloud Computing, Elastic Services, Key-Value Stores
National Category
Computer Systems
Research subject
SRA - ICT
Identifiers
urn:nbn:se:kth:diva-101661 (URN)978-91-7501-437-1 (ISBN)
Public defence
2012-09-26, Sal E, Forum IT-Universitetet, KTH, Isajordsgatan 39, Kista, 14:00 (English)
Opponent
Supervisors
Funder
ICT - The Next Generation
Note

QC 20120831

Available from: 2012-08-31 Created: 2012-08-30 Last updated: 2014-01-23Bibliographically approved

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Publisher's full textScopushttp://www.igi-global.com/chapter/niche-platform-self-managing-distributed/60451

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Citation style
  • apa
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  • Other locale
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