Self-Management for Large-Scale Distributed Systems

↓ Direkt till sidans innehåll
↓ Direkt till sidans sekundära innehåll (sidomenyn)

Search: WFRF:(Haridi Seif) > Self-Management for...

Details
MARC

Al-Shishtawy, Ahmad,1978-RISE,KTH,Programvaruteknik och Datorsystem, SCS,Computer Systems Laboratory (author)

Self-Management for Large-Scale Distributed Systems

BookEnglish2012

Publisher, publication year, extent ...

Stockholm :KTH Royal Institute of Technology,2012
xix, 266 s.
electronicrdacarrier

Numbers

LIBRIS-ID:oai:DiVA.org:kth-101661
ISBN:9789175014371
https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-101661URI
https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-24046URI

Supplementary language notes

Language:English
Summary in:English

Part of subdatabase

SwePubSwePub

Classification

Subject category:vet swepub-contenttype
Subject category:dok swepub-publicationtype

Series

SICS dissertation series,1101-1335 ;57

Notes

QC 20120831
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.

Subject headings and genre

TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik Datorsystem hsv//swe
ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Computer Systems hsv//eng
NATURVETENSKAP Data- och informationsvetenskap hsv//swe
NATURAL SCIENCES Computer and Information Sciences hsv//eng
Self-Management
Autonomic Computing
Control Theory
Distributed Systems
Grid Computing
Cloud Computing
Elastic Services
Key-Value Stores
SRA - ICT
SRA - Informations- och kommunikationsteknik

Added entries (persons, corporate bodies, meetings, titles ...)

Vlassov, Vlassov,Associate ProfessorKTH,Programvaru- och datorsystem, SCS(Swepub:kth)u19yb2c8 (thesis advisor)
Haridi, Seif,ProfessorKTH,Programvaru- och datorsystem, SCS(Swepub:kth)u1j6y2uf (thesis advisor)
Brand, Per,Dr.Swedish Institute of Computer Science (thesis advisor)
Navarro Moldes, Leandro,Associate ProfessorDepartment of Computer Architecture, Universitat Politècnica de Catalunya (opponent)
KTHProgramvaruteknik och Datorsystem, SCS (creator_code:org_t)

Internet link

Find in a library

Self-Management for Large-Scale Distributed Systems (Search the publication in LIBRIS)

To the university's database

Find more in SwePub

By the author/editor: Al-Shishtawy, Ah ...; Vlassov, Vlassov ...; Haridi, Seif, Pr ...; Brand, Per, Dr.; Navarro Moldes, ...

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Electrical Engin ...; and Computer Systems

NATURAL SCIENCES: NATURAL SCIENCES; and Computer and Inf ...

Parts in the series: SICS dissertatio ...

By the university: Royal Institute of Technology; RISE

Search outside SwePub

Extend your search to:: Google; Google Book Search; Google Scholar

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

LIBRIS.kb.se