The Experts below are selected from a list of 1611396 Experts worldwide ranked by ideXlab platform

Luoming Meng - One of the best experts on this subject based on the ideXlab platform.

  • Business-driven adaptive SLO maintenance in service level management
    2010 IEEE IFIP Network Operations and Management Symposium Workshops, 2010
    Co-Authors: Fei Gao, Xuesong Qiu, Luoming Meng
    Abstract:

    This paper proposes a novel online business-driven adaptive Service Level Objective (SLO) maintenance approach which can adaptively maintain the SLO metrics in a reasonable range in order to achieve the optimal overall business result during the service operating. The approach can dynamically capture the business impact variation caused by the effect factor of client side, and adaptively provide the resource regulation strategy according to the well defined business impact weight and SLO reference value to obtain the optimal overall business result.

Gianmario Motta - One of the best experts on this subject based on the ideXlab platform.

  • WETICE - Service Level management (SLM) in Cloud Computing - Third Party SLM Framework
    2014 IEEE 23rd International WETICE Conference, 2014
    Co-Authors: Gianmario Motta, Linlin You, Nicola Sfondrini, Daniele Sacco
    Abstract:

    The key issue in cloud computing in enterprises is the management of the Quality of Service (QoS), by an appropriate SLM (Service Level management). Cloud Service Provider are offering SLMs to their users. We think that a third party SLM can be a better way to assure a robust and equal SLM. This paper presents the elements of third party SLM, namely Cloud Service Registration Agent, Negotiation Agent, Compensation Agent, Comment Agent, Billing Agent and Service Monitoring Engine. Such framework has been tested in a real life case. Results show that third party SLM is not only equal, but also dependable and reasonably easy to implement.

  • Business Oriented Service Level management (BOSELM): Perspectives on business-IT linkage, technology and organization issues
    2013 6th International Conference on Information Management Innovation Management and Industrial Engineering, 2013
    Co-Authors: Gianmario Motta, Thiago Barroero, Daniele Sacco
    Abstract:

    With the growing pervasiveness of information technology (IT), the quality of the information services is crucial for companies. The effectiveness of the IT department is in fact a function of the "quality of service" (QoS), expressed as availability, response time, and similar variables. The ultimate quality of service, that is in fact the business operations result (business outcome) perceived by the business user, is linked to IT QoS by a cause-effect chain. Our research proposes a comprehensive methodology for the Service Level management (SLM), which includes an architectural model of and the steps necessary to implement it within enterprises. The main purpose is to provide a method for managing the relationship between business-IT performances, by considering: (a) business-IT linkage model, (b) technology architecture, (c) organization.

  • ICSSI - Cloud Computing: The Issue of Service Quality: An Overview of Cloud Service Level management Architectures
    2013 Fifth International Conference on Service Science and Innovation, 2013
    Co-Authors: Gianmario Motta, Linlin You, Daniele Sacco, Nicola Sfondrini
    Abstract:

    The paper presents a framework for quality management of Cloud Services, that aims to meet requirements of both providers and enterprises. In providers, a capacity planning phase forecasts the load in order to identify resources, while a quality aware cloud balances in real time SLM and efficiency. In enterprises, a dynamic SLA negotiation system chooses the most convenient provider for commodity services, while a dashboard enables enterprises to analyze the business impact of the cloud Qos. Finally, an independent authority verifies the actual QoS that is delivered by providers to enterprises.

  • Cloud Computing: A Business and Economical Perspective
    2012 International Joint Conference on Service Sciences, 2012
    Co-Authors: Gianmario Motta, Nicola Sfondrini, Daniele Sacco
    Abstract:

    We present a Systematic Literature Review (SLR) on Cloud Computing that selected 51 papers from first tier journals and conferences in the period 2008-2012. The selective approach captures the economical perspective on Cloud Computing highlighting especially the business issues, cost/pricing models, and legal issues raised by the adoption of this new technological approach. Finally, it also spots emerging issues as a general lack of framework for security and service level management that respond to the peculiar profile of Cloud Computing.

  • IT Service Level management: Practices in Large Organizations
    Communications of the IBIMA, 2011
    Co-Authors: Gianmario Motta, Thiago Barroero, Filippo Galvani, Antonella Longo
    Abstract:

    We survey actual practices of IT SLM (Service Level management) in large organizations. The survey is based on a comprehensive analysis framework, called ESLAM (Extended Service Level Analysis Model) that considers (a) service level variables, that are what SLM measures (b) service information system, that processes information on service level technology, and (c) service organization that defines roles and procedures to run SLM. The survey was based on face to face interviews to both IT intensive (Banks and Telcos) and non-intensive (as Railways) organizations and has considered also context variables, as size and organizational shape, to develop correlation analysis. The survey has identified key drivers of SLM maturity and shown that IT intensive organizations, as banks and telecommunications, develop a more mature SLM. Also SLM maturity is unrelated to organizational size.

Maheswaran Surendra - One of the best experts on this subject based on the ideXlab platform.

  • Service level management: A dynamic discovery and optimization approach
    IEEE Transactions on Network and Service Management, 2004
    Co-Authors: Yixin Diao, Joseph L Hellerstein, Frank Eskesen, Steven E. Froehlich, Alexander Keller, Lisa F. Spainhower, Maheswaran Surendra
    Abstract:

    Optimizing configuration parameters for achieving service level objectives is time-consuming and skills-intensive. This paper proposes a generic approach to automating this task. By generic, we mean that the approach is relatively independent of the target system for which the optimization is done. Our approach uses online adjustment of configuration parameters to discover the system's performance characteristics. Doing so creates two challenges: (1) handling interdependencies between configuration parameters and (2) minimizing the deleterious effects on production workload while the optimization is underway. Our approach addresses (1) by including in the architecture a rule-based component that handles interdependencies between configuration parameters. For (2), we use a feedback mechanism for online optimization that searches the parameter space in a way that generally avoids poor performance at intermediate steps. Our studies of a DB2 Universal Database Server under an e-commerce workload indicate that our approach is effective in practice.

  • Integrated Network management - Generic on-line discovery of quantitative models for service level management
    Integrated Network Management VIII, 2003
    Co-Authors: Yixin Diao, Joseph L Hellerstein, Frank Eskesen, Steven E. Froehlich, Alexander Keller, Lisa F. Spainhower, Maheswaran Surendra
    Abstract:

    Quantitative models are needed for a variety of management tasks, including (a) identification of critical variables to use for health monitoring, (b) anticipating service level violations by using predictive models, and (c) on-going optimization of configurations. Unfortunately, constructing quantitative models requires specialized skills that are in short supply. Even worse, rapid changes in provider configurations and the evolution of business demands mean that quantitative models must be updated on an on-going basis. This paper describes an architecture and algorithms for on-line discovery of quantitative models without prior knowledge of the managed elements. The architecture makes use of an element schema that describes managed elements using the common information model (CIM). Algorithms are presented for selecting a subset of the element metrics to use as explanatory variables in a quantitative model and for constructing the quantitative model itself. We further describe a prototype system based on this architecture that incorporates these algorithms. We apply the prototype to on-line estimation of response times for DB2 Universal Database under a TPC-W workload. Of the approximately 500 metrics available from the DB2 performance monitor, our system chooses 3 to construct a model that explains 72% of the variability of response time.

Fei Gao - One of the best experts on this subject based on the ideXlab platform.

  • A feedback control mechanism for adaptive SLO maintenance in dynamic service level management
    Frontiers of Electrical and Electronic Engineering in China, 2010
    Co-Authors: Fei Gao, Xuesong Qiu
    Abstract:

    With the increasing scale of information technology (IT) service system, traditional threshold-based static service level management (SLM) solution appears to be inadequate to meet current increasingly management requirement of SLM. Due to the stochastic service request rate, the random inherent failure and load surge of IT devices during service operating stage of large scaled IT system, service level objective (SLO) maintenance issue has become a realistic and important issue in dynamic SLM. This paper proposes a closed-loop feedback control mechanism to adaptively maintain SLO that service provider (SP) guaranteed at service operation stage. The mechanism can automatically tune the capacity of IT infrastructure according to service performance dispersion and reduce SLO violations. Considering that the tuning operations also affect service performance, fuzzy control is applied to alleviate the negative effect caused by tuning operations. In the dynamic SLM system that is applied with this mechanism compared with the traditional threshold-based solution, it is proved that the amount of SLO violations obviously decreases, the reliability of the service system increases relatively, and the resource utilization of IT infrastructure is optimized.

  • Business-driven adaptive SLO maintenance in service level management
    2010 IEEE IFIP Network Operations and Management Symposium Workshops, 2010
    Co-Authors: Fei Gao, Xuesong Qiu, Luoming Meng
    Abstract:

    This paper proposes a novel online business-driven adaptive Service Level Objective (SLO) maintenance approach which can adaptively maintain the SLO metrics in a reasonable range in order to achieve the optimal overall business result during the service operating. The approach can dynamically capture the business impact variation caused by the effect factor of client side, and adaptively provide the resource regulation strategy according to the well defined business impact weight and SLO reference value to obtain the optimal overall business result.

Guijun Wang - One of the best experts on this subject based on the ideXlab platform.

  • Quality of Service Monitoring, Diagnosis, and Adaptation for Service Level management
    Enterprise Resource Planning, 2013
    Co-Authors: Guijun Wang, Changzhou Wang, Haiqin Wang, Rodolfo A. Santiago, Jingwen Jin, David Shaw
    Abstract:

    A key requirement in Service Level management (SLM) is managing the Quality of Services (QoS) demanded by clients and offered by providers. This managing process is complicated by the globalization and Internet scale of enterprise services and their compositions. This chapter presents two contributions to the QoS management task for SLM. First, instead of considering monitoring as an isolated service, it incorporates a monitoring service as an integral part of a comprehensive QoS management framework for SLM. Second, it includes a diagnosis service as an integral part of the QoS management framework. Using the data fed from monitoring service, diagnosis service detects system condition changes and reasons about the causes of detected degradation in networked enterprise system. With condition detection and situation understanding, the QoS management framework can then proactively activate adaptation mechanisms to maximize the system’s ability to meet QoS contract requirements of concurrent clients. Using this framework, enterprise systems can provide real time automated QoS management to optimize system resources in meeting contract requirements. This approach is validated using QoS management services integrated in a publish/subscribe style of SOA. Benefits of QoS monitoring, diagnosis, and adaptation services for responsiveness SLM are demonstrated via experiments.

  • EDOCW - Service Level management in Global Enterprise Services: from QoS Monitoring and Diagnostics to Adaptation, a Case Study
    2007 Eleventh International IEEE EDOC Conference Workshop, 2007
    Co-Authors: Haiqin Wang, Guijun Wang, Changzhou Wang, Alice Chen, Rodolfo A. Santiago
    Abstract:

    We developed a quality of service (QoS) management system to support service level management (SLM) for global enterprise services. The QoS management system is integrated with one of our enterprise services in a preproduction system, an identical system as the production system but in a test environment. Lab experiments showed that our integrated solution helps global enterprise services to better maintain the service level agreements. Test results have validated our architecture design and integration approach. This paper describes our QoS management architecture and its integration within the enterprise service system with a focus on QoS monitoring, diagnostics and adaptation. We will also present the validation test results as a case study in this paper.

  • quality of service qos contract specification establishment and monitoring for service level management
    Enterprise Distributed Object Computing, 2006
    Co-Authors: Changzhou Wang, Guijun Wang, Haiqin Wang, Alice Chen, Rodolfo A. Santiago
    Abstract:

    This paper describes an approach and the architecture of Quality of Service (QoS) contract specification, establishment, and monitoring for Service Level management (SLM). Contract is an essential concept in SLM. The service consumer side and the service provider side must share common understanding of QoS characteristics and agree on the common language for specifying desired QoS parameters in the form of QoS contracts. A service consumer must also negotiate with a service provider to establish mutually agreed QoS contracts for an interactive session. The service provider must consider QoS contracts already agreed upon with existing consumers and system resource conditions in establishing a new QoS contract. Similarly, a service consumer must be prepared in revising its contract with the service provider as conditions change over time. Once a QoS contract is established, SLM must provide monitoring to make sure that the service is provided at agreed QoS parameter range. If necessary, SLM must activate adaptation mechanisms to bring the service quality to the desired level. A case study is presented to validate the QoS contract management design approach and architecture for SLM.

  • EDOC Workshops - Quality of Service (QoS) Contract Specification, Establishment, and Monitoring for Service Level management
    2006 10th IEEE International Enterprise Distributed Object Computing Conference Workshops (EDOCW'06), 2006
    Co-Authors: Changzhou Wang, Guijun Wang, Haiqin Wang, Alice Chen, Rodolfo A. Santiago
    Abstract:

    This paper describes an approach and the architecture of Quality of Service (QoS) contract specification, establishment, and monitoring for Service Level management (SLM). Contract is an essential concept in SLM. The service consumer side and the service provider side must share common understanding of QoS characteristics and agree on the common language for specifying desired QoS parameters in the form of QoS contracts. A service consumer must also negotiate with a service provider to establish mutually agreed QoS contracts for an interactive session. The service provider must consider QoS contracts already agreed upon with existing consumers and system resource conditions in establishing a new QoS contract. Similarly, a service consumer must be prepared in revising its contract with the service provider as conditions change over time. Once a QoS contract is established, SLM must provide monitoring to make sure that the service is provided at agreed QoS parameter range. If necessary, SLM must activate adaptation mechanisms to bring the service quality to the desired level. A case study is presented to validate the QoS contract management design approach and architecture for SLM.

  • service level management using qos monitoring diagnostics and adaptation for networked enterprise systems
    Enterprise Distributed Object Computing, 2005
    Co-Authors: Guijun Wang, Changzhou Wang, Haiqin Wang, Alice Chen, Casey K Fung, S Uczekaj, Yiliang Chen, W Guthmiller, J Lee
    Abstract:

    As enterprise services increasingly interconnect as networked services in a service-oriented architecture (SOA), service level management (SLM) is becoming a complex problem and can no longer be handled by traditional monitoring tools like Microsoft SMS. SLM is a process managing the quality of services demanded by clients and offered by providers. This paper presents two contributions to the research of SLM. First, instead of considering monitoring as an isolated service, it incorporates monitoring as an integral part of a comprehensive QoS management framework. This framework consists of QoS management concepts and services including service level contract management, admission control, resource management, monitoring, diagnostics, and adaptation. Using this framework, clients are able to negotiate quality of service contracts with providers and providers are able to optimize system resources to meet contract requirements. The second contribution is the incorporation of diagnostic service in the QoS management framework. Based on data feed from monitoring service, diagnostic service is able to detect any condition changes and to reason about the causes of any degradation conditions in the networked enterprise system. With condition detection and situation understanding, QoS management can then proactively activate adaptation mechanisms to maximize the system's ability to meet QoS contract requirements of concurrent clients. Our monitoring service uses both reporting approach and probing approach to acquire the information of the health status of elements of a networked system. The monitored data is then fed to our diagnostic service to reason about root causes of anomalies, using graphical models. Depending on the system health status and root causes, appropriate adaptations are triggered proactively to improve the system performance under the constraints of concurrent QoS contracts. We validate our SLM approach using QoS management services integrated in a publish/subscribe style of SOA. We then demonstrate via experiments some benefits of QoS monitoring, diagnostics, and adaptation services for responsiveness SLM.