Scientific WorkFlows (SWFs) need to utilize components and applications in order to satisfy the requirements of specific workflow tasks. Technology trends in software development signify a move from component-based to service-oriented approach, therefore SWF will inevitably need appropriate tools to discover and integrate heterogeneous services. In this paper we present the SODIUM platform consisting of a set of languages and tools as well as related middleware, for the development and execution of scientific workflows composed of heterogeneous services.
We present a decentralized approach towards scalable and energy-efficient management of virtual machine (VM) instances that are provisioned by large, enterprise clouds. In our approach, the computation resources of the data center are effectively organized into a hypercube structure. The hypercube seamlessly scales up and down as resources are either added or removed in response to changes in the number of provisioned VM instances. Without supervision from any central components, each compute node operates autonomously and manages its own workload by applying a set of distributed load balancing rules and algorithms. On one hand, underutilized nodes attempt to shift their workload to their hypercube neighbors and switch off. On the other, overutilized nodes attempt to migrate a subset of their VM instances so as to reduce their power consumption and prevent degradation of their own resources, which in turn may lead to SLA violations. In both cases, the compute nodes in our approach do not overload their counterparts in order to improve their own energy footprint. An evaluation and comparative study of the proposed approach provides evidence of its merits in terms of elasticity, energy efficiency, and scalability, as well as of its feasibility in the presence of high workload rates. . His interests are in cloud computing, service-oriented computing, with a focus on service interoperability, discovery, and composition, and P2P computing.Gavriil Tzortzakis is an MSc student at the Department of Informatics and Telecommunications of the University of Athens. His research interests are in cloud computing and wireless sensor networks. He holds a BSc from the Univ. of Athens.
Web services constitute the most prevailing instantiation of the service-oriented computing paradigm. Recently however, representatives of other computing technologies, such as peer-to-peer (p2p), have also adopted the service-oriented approach and expose functionality as services. Thus the service-oriented community could be greatly assisted, if these heterogeneous services were integrated and composed. A key towards achieving this integration is the establishment of a unified approach in service discovery. In this paper, we describe some features of a unified service query language and focus on its associated engine, which is used to discover web and p2p services in a unified manner. We exemplify how our unified approach is applied in the case of web and p2p service discovery in UDDI and JXTA, respectively. Additionally, we demonstrate how our service search engine is able to process heterogeneous service advertisements and thus to exploit the advertised syntactic, semantic, and quality-of-service properties during matchmaking.
Abstract:Industrial application development approaches are striving for solutions that promote the rapid development of flexible and adaptable systems and the exploitation of legacy systems and resources. The Service-oriented Development (SOD) paradigm, a current trend in software development, could be beneficial to industrial application development approaches. However, the heterogeneity in existing standards and protocols for the discovery of the various service types is an obstacle for the use of SOD in industry. This paper addresses this issue by proposing a solution that supports the unified discovery of heterogeneous services and thus supporting the use of SOD in industry. The proposed solution comprises a generic service model (GeSMO), which facilitates the specification of heterogeneous services, a query language called Unified Service Query Language (USQL), based on GeSMO, which facilitates the unified discovery of heterogeneous services within heterogeneous service registries and a query engine called USQL Engine, that enables the execution of queries described in terms of the USQL, upon heterogeneous service registries.
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