Dynamic Self Adaptation in Distributed Systems

Ben-Shaul, Israel; Gazit, Hovav; Holder, Ophir; Lavva, Boris

doi:10.1007/3-540-44584-6_11

Cited by 7 publications

(7 citation statements)

References 7 publications

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“…Adaptation for distributed applications has received significant research attention in the last few years. Earlier approaches focused on adaptation for client-server applications, [8][9][10][11], while more recent efforts address adaptation for parallel applications [12] or generic distributed applications where individual components reside on peers [13][14][15][16][17][18][19][20].…”

Section: Literature Review -Application Adaptationmentioning

confidence: 99%

“…The most commonly monitored resource attributes, which are measured either in terms of total capacity, utilisation or both, are (in order of frequency): network, memory, processor and battery. In addition, some of the studies consider the type of information exchange between [10,11], or the nature of interaction among, distributed application components [12,13,18].…”

Section: Literature Review -Application Adaptationmentioning

confidence: 99%

“…The actual mechanisms employed to achieve adaptation include object migration [12,13], the selection of alternative methods [16,19], the substitution of object implementations [8,17,21], and middleware reconfiguration [9,14,15,20]. In some cases the information exchanged by components is adapted, rather than the components themselves [10,11].…”

Section: Literature Review -Application Adaptationmentioning

confidence: 99%

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Empirical Evaluation of Dynamic Local Adaptation for Distributed Mobile Applications

Rossi

Ryan

2005

Lecture Notes in Computer Science

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Distributed mobile applications operate on devices with diverse capabilities, in heterogeneous environments, where parameters such as processor, memory and network utilisation, are constantly changing. In order to maintain efficiency in terms of performance and resource utilisation, such applications should be able to adapt to their environment. Therefore, this paper proposes and empirically evaluates a local adaptation strategy for mobile applications, with 'local' referring to a strategy that operates independently on each node in the distributed application. The strategy is based upon a series of formal adaptation models and a suite of mobile application metrics introduced by the authors in a recent paper. The experiments demonstrate the potential practical application of the local adaptation strategy using a number of distinct scenarios involving runtime changes in processor, memory and network utilisation. In order to maintain application efficiency in response to these changing operating conditions, the system reacts by rearranging the object topology of the application by dynamically moving objects between nodes.

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Section: Literature Review -Application Adaptationmentioning

confidence: 99%

Section: Literature Review -Application Adaptationmentioning

confidence: 99%

Section: Literature Review -Application Adaptationmentioning

confidence: 99%

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Empirical Evaluation of Dynamic Local Adaptation for Distributed Mobile Applications

Rossi

Ryan

2005

Lecture Notes in Computer Science

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“…Network computing provides all of the attributes of a naturally complex environment within a man made artifact. Ben-Shaul [1] describes two implemented architectures that provide support for distributed (network based) self adaptive software in Java.…”

Section: Historymentioning

confidence: 99%

The GRAVA self-adaptive architecture: history; design; applications; and challenges

Robertson

Laddaga²

2004

24th International Conference on Distributed Computing Systems Workshops, 2004. Proceedings.

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In 1998 DARPA embarked on a program to develop SelfAdaptive Software. One architecture that emerged from that effort was the GRAVA architecture. The GRAVA architecture has by now been applied to a number of challenging domains and continues to be extended and applied to ever more challenging problems. An overview is provided of the history that motivated the program, the design of the GRAVA architecture, and the applications to which it is being applied. Challenges and open problems are discussed.

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“…Hadas [10] and FarGo [11][12][13] focus on the properties of the Internet, which is a continually changing environment, and enable a service to adapt in dynamic fashion. These systems dynamically distribute components as portions of an application to nodes on a network in order to adapt to the load of the nodes, the bandwidth between nodes, and other conditions.…”

Section: Related Researchmentioning

confidence: 99%

Basic mechanism of elastic server groups—Dynamic adaptation to load fluctuation

Agetsuma

Kono

Iwasaki

et al. 2006

Systems & Computers in Japan

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SUMMARYVarious services have been deployed on the Internet, and the role of Internet services as a societal infrastructure is becoming increasingly important. As demand for services on the Internet increases, the burdens placed on servers that provide those services increase, which leads to reductions in the quality of services, such as service delays, or temporary stoppage of services in the worst case. Methods of distributing the demand for a service among multiple computers by preparing multiple computers that are capable of providing the same service is commonly employed as a way of minimizing reduction in the quality of service. However, since the demand for a service on the Internet continually fluctuates, it is difficult to predict the demand in order to have computing resources in place ahead of time. In this paper, a basis is therefore proposed for automatically adjusting the total amount of computing resources for providing a service according to the variation in demand for the service. The server group formed according to this basis is referred to as an elastic server group. In an elastic server group, several computers are working that communicate with each other using a Peer-to-Peer system, and the number of computers for providing the service is increased or decreased. In this paper, an elastic server group and a basic mechanism for increasing or decreasing the number of computers for providing a server in the elastic server group are proposed, and the effectiveness of this approach is verified using a simulation.

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Dynamic Self Adaptation in Distributed Systems

Cited by 7 publications

References 7 publications

Empirical Evaluation of Dynamic Local Adaptation for Distributed Mobile Applications

Empirical Evaluation of Dynamic Local Adaptation for Distributed Mobile Applications

The GRAVA self-adaptive architecture: history; design; applications; and challenges

Basic mechanism of elastic server groups—Dynamic adaptation to load fluctuation

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