{"title":"Dynamic load balancing for distributed network management","authors":"K. Yoshihara, M. Isomura, H. Horiuchi","doi":"10.1109/INM.2003.1194186","DOIUrl":"https://doi.org/10.1109/INM.2003.1194186","url":null,"abstract":"The scalability limitations of centralized management models have motivated distributed management models, in which management programs describing some management tasks are distributed and executed on managed systems. In the models, management program distribution that considers dynamic network resource utilization is one of the most important challenges, in striking a load balance between management and managed systems for an entire managed network. Some methods for load balancing have been studied; however, they cannot adequately be achieved throughout an entire managed network. This arises from criteria for load balancing that lacks dynamic network resource utilization, or from a localized subnetwork in which the performance is limited, although it does include processing loads for dynamic network resource utilization. To solve this, a new dynamic load balancing method is proposed for distributed network management. Thus, systems that execute management programs are decided dynamically on the basis of CPU utilization for each system and the bandwidth required for executing all management programs. Two typical algorithms derived from the proposed method, each having different criteria in the form of mean deviation and range types with respect to CPU utilization, are introduced. They were evaluated analytically. according to capability, i.e., how well they perform as close to load balancing as possible, as well as time complexity. The results show that the mean deviation type algorithm performs better at almost the same computational cost. A prototype system is also implemented based on the proposed method, and evaluated empirically by applying it to an operational LAN. The proposed method performs well in trials with a trivial overhead.","PeriodicalId":273743,"journal":{"name":"IFIP/IEEE Eighth International Symposium on Integrated Network Management, 2003.","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124834483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of mobile radio access network using the self-organizing map","authors":"K. Raivio, O. Simula, J. Laiho, P. Lehtimaki","doi":"10.1109/INM.2003.1194197","DOIUrl":"https://doi.org/10.1109/INM.2003.1194197","url":null,"abstract":"Mobile networks produce a huge amount of spatio-temporal data. The data consists of parameters of base stations and quality information of calls. The self-organizing map (SOM) is an efficient tool for visualization and clustering of multidimensional data. It transforms the input vectors on a two-dimensional grid of prototype vectors and orders them. The ordered prototype vectors are easier to visualize and explore than the original data. There are two possible ways to start the analysis. We can build either a model of the network using state vectors with parameters from all mobile cells or a general one cell model trained using one cell state vector from all cells. In both methods, further analysis is needed. In the first method the distributions of parameters of one cell can be compared with the others and in the second it can be compared how well the general model represents each cell.","PeriodicalId":273743,"journal":{"name":"IFIP/IEEE Eighth International Symposium on Integrated Network Management, 2003.","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127278783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Serrat, E. Grampín, L. Raptis, F. Karayannis, K. Vaxevanakis, D. Chronis, H. Katopodis, G. Hoekstra, W. Romijn, A. Galis, E. Kozlovski
{"title":"Functional evaluation of an integrated IP over WDM management solution","authors":"J. Serrat, E. Grampín, L. Raptis, F. Karayannis, K. Vaxevanakis, D. Chronis, H. Katopodis, G. Hoekstra, W. Romijn, A. Galis, E. Kozlovski","doi":"10.1109/INM.2003.1194219","DOIUrl":"https://doi.org/10.1109/INM.2003.1194219","url":null,"abstract":"The management of heterogeneous and hybrid networks has been always a challenge for network operators. Different frameworks and architectural approaches have been proposed and investigated in the literature. The purpose of this paper is to present the evaluation results of an integrated network management solution for the provisioning and maintenance of IP over WDM end-to-end services with network parameters derived from Service Level Agreements (SLAs). A detailed description of the test-bed environment as well as an integrated scenario for architectural evaluation is also included.","PeriodicalId":273743,"journal":{"name":"IFIP/IEEE Eighth International Symposium on Integrated Network Management, 2003.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127168838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Levy, J. Nagarajarao, G. Pacifici, A. Spreitzer, A. Tantawi, A. Youssef
{"title":"Performance management for cluster based Web services","authors":"R. Levy, J. Nagarajarao, G. Pacifici, A. Spreitzer, A. Tantawi, A. Youssef","doi":"10.1109/INM.2003.1194184","DOIUrl":"https://doi.org/10.1109/INM.2003.1194184","url":null,"abstract":"We present an architecture and prototype implementation of a performance management system for cluster-based Web services. The system supports multiple classes of Web services traffic and allocates server resources dynamically so to maximize the expected value of a given cluster utility function in the face of fluctuating loads. The cluster utility is a function of the performance delivered to the various classes, and this leads to Differentiated Service. In this paper we use the average response time as the performance metric. The management system is transparent: it requires no changes in the client code, the server code, or the network interface between them. The system performs three performance management tasks: resource allocation, load balancing, and server overload protection. We use two nested levels of management mechanism. The inner level centers on queuing and scheduling of request messages. The outer level is a feedback control loop that periodically adjusts the scheduling weights and server allocations of the inner level. The feedback controller is based on an approximate first-principles model of the system, with parameters derived from continuous monitoring. We focus on SOAP-based Web services. We report experimental results that show the dynamic behavior of the system.","PeriodicalId":273743,"journal":{"name":"IFIP/IEEE Eighth International Symposium on Integrated Network Management, 2003.","volume":"2218 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127332027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Policy specification and architecture for quality of service management","authors":"N. Muruganantha, H. Lutfiyya","doi":"10.1109/INM.2003.1194209","DOIUrl":"https://doi.org/10.1109/INM.2003.1194209","url":null,"abstract":"An application's quality of service (QoS) requirements refers to non-functional, run-time requirements. These requirements are usually soft in that the application is functionally correct even if the QoS requirement is not satisfied at run-time. QoS requirements are dynamic in that for a specific application, they change. The ability to satisfy an application's QoS requirement depends on the available resources. Since an application may have different QoS requirements in different sessions, the resources needed are different. A differentiated service must be supported. Since an application's QoS requirement is soft, it may not always be satisfied. It must be possible to dynamically allocate more resources. In an overloaded situation, it may be necessary to allocate resources to an application at the expense of other applications. Policies are used to express QoS requirements and actions to be taken when the QoS requirement is not satisfied. Policies are also used to specify actions to be taken in overloaded situations. Policies dynamically change. Supporting these policies is done through a set of distributed managed processes. It must be possible specify policies and have these policies distributed to managed processes. This paper describes how these policies can be formally specified and a management architecture (based on the IETF framework) that describes how the policies are distributed and used by the management system. We conclude with a discussion of our experiences with the management system developed.","PeriodicalId":273743,"journal":{"name":"IFIP/IEEE Eighth International Symposium on Integrated Network Management, 2003.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130678620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}