List of Articles Service level agreement

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  1 - A Semantic Model for Business Process Management with Service Level Agreements
  parvaneh hajinazari
  Service Level Agreement (SLA) is an important tool for guiding and guaranteeing the quality of the execution of service-based business processes and the achievement of business goals. In this regard, this paper expresses SLAs for the process oriented enterprises in a ma More

  Service Level Agreement (SLA) is an important tool for guiding and guaranteeing the quality of the execution of service-based business processes and the achievement of business goals. In this regard, this paper expresses SLAs for the process oriented enterprises in a machine understandable format. we propose an ontology-based representation model of SLA and utilize the business services performance requirements specified as Key Indicators (KPIs and KQIs) to define SLA parameters. The purpose is to make it possible to monitor business processes based on SLA in order to assure compliance with business requirements and targeted objectives. At the end, an SLA monitoring prototype system is proposed to show how the model can be deployed. This model can help automate the process of SLA representation, monitoring and taking actions in case of violations in SOA and business process domains. Manuscript profile
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  2 - Embedding Virtual Machines in Cloud Computing Based on Big Bang–Big Crunch Algorithm
  Ali Ghaffari Afshin Mahdavi
  10.7508/jist.2019.04.006
  Cloud computing is becoming an important and adoptable technology for many of the organization which requires a large amount of physical tools. In this technology, services are provided and presented according to users’ requests. Due to the presence of a large number of More

  Cloud computing is becoming an important and adoptable technology for many of the organization which requires a large amount of physical tools. In this technology, services are provided and presented according to users’ requests. Due to the presence of a large number of data centers in cloud computing, power consumption has recently become an important issue. However, data centers hosting Cloud applications consume huge amounts of electrical energy and contributing to high operational costs to the environment. Therefore, we need Green Cloud computing solutions that can not only minimize operational costs but also reduce the environmental impact. Live migration of virtual machines and their scheduling and embedding lead to enhanced efficiency of dynamic resources. The guarantee of service quality and service reliability is an indispensable and irrevocable requirement with respect to service level agreement. Hence, providing a method for reducing costs of power consumption, data transmission, bandwidth and, also, for enhancing quality of service (QoS) in cloud computing is critical. In this paper, a Big Bang–Big Crunch (BB-BC) based algorithm for embedding virtual machines in cloud computing was proposed. We have validated our approach by conducting a performance evaluation study using the CloudSim toolkit. Simulation results indicate that the proposed method not only enhances service quality, thanks to the reduction of agreement violation, but also reduces power consumption. Manuscript profile
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  3 - Reallocation of Virtual Machines to Cloud Data Centers to Reduce Service Level Agreement Violation and Energy Consumption Using the FMT Method
  Hojjat Farrahi Farimani Davoud  Bahrepour Seyed Reza Kamel Tabbakh reza Ghaemi
  10.7508/jist.2019.04.007
  Due to the increased use of cloud computing services, cloud data centers are in search of solutions in order to better provide the services demanded by their users. Virtual machine consolidation is an appropriate solution to the trade-off between power consumption and s More

  Due to the increased use of cloud computing services, cloud data centers are in search of solutions in order to better provide the services demanded by their users. Virtual machine consolidation is an appropriate solution to the trade-off between power consumption and service level agreement violation. The present study aimed to identify low, medium, and high load identification techniques, as well as the energy consumption and SLAv to minimize. In addition to the reduced costs of cloud providers, these techniques enhance the quality of the services demanded by the users. To this end, reallocation of resources to physical hosts was performed at the medium load level using a centralized method to classify the physical hosts. In addition, quartile was applied in each medium to reduce the energy consumption parameters and violation level. The three introduced SMT - NMT and FMT methods for reallocation of resources were tested and the best results were compared with previous methods.The proposed method was evaluated using the Cloudsim software with real Planet Lab data and five times run, the simulation results confirmed the efficiency of the proposed algorithm, which tradeoff between decreased the energy consumption and service level of agreement violation (SLAv) properly. Manuscript profile