Using ASCENS tools and methods Sample Clauses

Using ASCENS tools and methods. ‌ The use of ASCENS methods on the case studies is reported mainly in the deliverables [CLM+13] and [KBC+13]. We sum up the relevant methods here, which are all, except one, described in [KBC+13]. Requirements Analysis with SOTA The first phase in the Ensemble Development Life Cycle (EDLC), which is about requirements engineering, is supported by SOTA, which takes into consider- ation the goals and utilities of each entity in the system. Adaptation Patterns in the Cloud Following SOTA requirements engineering, the architecture of the system can be designed in the modeling and programming phase of the EDLC by choosing the correct adaptation patterns for the cloud implementation. Modeling with Helena An important aspect of service components and ensembles is the fact that components may play different roles in different ensembles. Explicit modeling of such roles in de- sign helps in understanding ensembles and ensemble goals and is directly supported by the Helena modeling approach. System Specification in SCEL One level down, we can specify the system in terms of the processes which service components run, and the attribute-based dynamic identification of ensembles. This is where the Service Component Ensemble Language (SCEL) and accompanying policy languages, such as SACPL, come into play. Analysis of Denial-Of-Service Attacks In the verification step of the EDLC, we have investigated the problem of distributed Denial-of-Service (dDoS) attacks which are relevant for all connected sys- tems. Two formal patterns have been identified which can serve as defenses against such attacks (this method is described in [CLM+13]). Verification of Routing Procedures in Pastry Also in [CLM+13], the network layer of the science cloud implementation, Pastry, has been modeled in κNCPi. The specific emphasis here has been put on formalizing the conditions for ensuring that messages reach there target within Pastry. Cooperative Distributed Task Execution On the runtime side of the EDLC, i.e. in the second cir- cle, the interactions of running ensembles and service components come into play. Here, a cooperative approach to task execution by distributed nodes has has been investigated in a simulation approach, test-driving the EDLC runtime cycle. Supporting Mobile Nodes with jDEECo An interesting aspect of the science cloud is that the nodes may not be servers stored in a data center, but personal machines which may include mobile nodes. This brings into play the dimension of s...
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