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One of the most recent concepts in the framework of today's distributed systems is Cloud Computing. A very difficult problem that needs to be addressed is the management of the Cloud. When designing a Cloud scheduling strategy, the design trade-offs of the Cloud architecture should be evaluated. The easiest way to evaluate this infrastructure is to use a simulation tool (in this case CloudSim simulation toolkit). This article examines three different algorithms that consider the scheduling of tasks in Cloud, which are described as Directed Acyclic Graphs (DAGs) (interdependent tasks). The results of the scheduling algorithms are valuable because they are helpful for the design of the Cloud Computing scheduling algorithms and for the design of a Service Level Agreement (SLA) contract whose members are the Cloud Service Provider (CSP) and the Cloud Service Customers (CSCs). This paper shows that the selection of the scheduling algorithms is useful in the design of the SLA contract.

Abstract:One of the most important characteristics of a Service Level Agreement (SLA) when discussing about Monitoring Wireless Sensor Networks (MWSNs) is its effectiveness in assuring business success, a high provider profit, an increased level of client satisfaction and trust. In order to ensure that these goals will be achieved the provider of the MWSN must define some parameters that characterize the Service Level Agreement that occurs between MWSN provider and the MWSN customer. This paper addresses a solution behind an efficient and effective Service Level Agreement (SLA) design and implementation related to a Monitoring Wireless Sensor Network (MSN) and applies the SLA in the case of water resources management. The characteristics of the SLA in place between the MWSN provider and the MWSN customer must be defined by taking into consideration various parameters that are particular to the MWSN such as routing algorithms, recovery from failure, monitoring and reporting aspects. An appropriate definition of a SLA contract helps identify the responsibilities of both the provider and customer of the Monitoring Wireless Sensor Network (MSN) and makes the interaction between the provider and customer easier.

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