Optical Networks for Grid and Cloud Computing Applications

Develder, Chris; Leenheer, Marc De; Dhoedt, Bart; Pickavet, Mario; Colle, Didier; Turck, Filip De; Demeester, Piet

doi:10.1109/jproc.2011.2179629

Cited by 150 publications

(89 citation statements)

References 90 publications

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“…In recent years, these two elements have been gaining much attention in many areas of industry parallel to overwhelming popularity of Internet and growing need to process a huge amount of data. The concept of There are three fundamental models of providing services in cloud computing [42,151] (Fig. 18 The SaaS model seems to become an increasingly dominant model in parallel with development of technologies that support Web services and service-oriented architecture (SOA).…”

Section: Cloud Computingmentioning

confidence: 99%

Future research directions in design of reliable communication systems

et al. 2015

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In this position paper on reliable networks, we discuss new trends in the design of reliable communication systems. We focus on a wide range of research directions including protection against software failures as well as failures of communication systems equipment. In particular, we outline future research trends in software failure mitigation, reliability of wireless communications, robust optimization and network design, multilevel and multirealm network resilience, multiple criteria routing approaches in multilayer networks, resilience options of the fixed IP backbone network in the interplay with the optical layer survivability, reliability of cloud computing networks, and

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Section: Cloud Computingmentioning

confidence: 99%

Future research directions in design of reliable communication systems

et al. 2015

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“…That is why incoming requests concerning different services are unpredictable and the cloud architecture must be investigated under a dynamic traffic scenario [26]. Rapid CRUD (create, read, update, delete) of resources is necessary in seconds.…”

Section: Cloud and Network Architecturesmentioning

confidence: 99%

“…Another paradigm of cloud computing is to offer the same services in different DCs simultaneously. Thus, it is possible to choose one of many possible DCs to provide the requested service [26]. A corresponding routing scheme is called anycast.…”

Section: Cloud and Network Architecturesmentioning

confidence: 99%

Green Cloud Provisioning Throughout Cooperation of a WDM Wide Area Network and a Hybrid Power IT Infrastructure

et al. 2015

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The paper focuses on cooperation between cloud and network operators, as well as on fitting particular routing strategies to various cloud services. Three cooperation models are presented, analyzed and compared in the paper: the proposed model and two widely used reference models. The main difference between the models is the set of information being exchanged between the involved parties. Additionally, we analyze the applicability of four fitting schemas for each considered model. It is shown that the proposed model, alongside with an appropriate fitting schema, is able to reduce the blocking probability of cloud services requests. At the same time, thanks to the use of green anycast strategies, it is able to significantly reduce carbon dioxide emission.

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“…Reliable provisioning of cloud-computing services depends on robust resource allocation over a common physical infrastructure, formed by datacenters and communication networks [2][3][4]. Physical infrastructure is often abstracted as "infrastructure as a service (IaaS)" layer which provides computational and communication resources to the upper service layers (e.g., platform as a service (PaaS) and software as a service (SaaS)) of the cloud-computing framework [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Disaster-survivable cloud-network mapping

et al. 2014

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Cloud-computing services are provided to consumers through a network of servers and network equipment. Cloud-network (CN) providers virtualize resources (e.g., virtual machine (VM) and virtual network (VN)) for efficient and secure resource allocation. Disasters are one of the worst threats for CNs as they can cause massive disruptions and CN disconnection. A disaster may also induce post-disaster correlated, cascading failures which can disconnect more CNs. Survivable virtual-network embedding (SVNE) approaches have been studied to protect VNs against single physical-link/-node and dual physicallink failures in communication infrastructure, but massive disruptions due to a disaster and their consequences can make SVNE approaches insufficient to guarantee cloudcomputing survivability.In this work, we study the problem of survivable CN mapping (SCNM) from disaster. We consider risk assessment, VM backup location, and post-disaster survivability to reduce the risk of failure and probability of CN disconnection and the penalty paid by operators due to loss of capacity. We formulate the proposed approach as an integer linear program and study two scenarios: a natural disaster, C. Colman Meixner -E-mail: cecolmanmeixner@ucdavis.edu M.F. Habib -E-mail: mfhabib@ucdavis.edu C-N. Chuah -E-mail: chuah@ucdavis.edu B. Mukherjee -E-mail: bmukherjee@ucdavis.edu University of California, Davis, USA M. Tornatore -E-mail: tornator@elet.polimi.it Politecnico di Milano, Italy F. Dikbiyik -E-mail: fdikbiyik@sakarya.edu.tr Sakarya University, Turkey e.g., earthquake and a human-made disaster, e.g., weaponsof-mass-destruction (WMD) attack. Our illustrative examples show that our approach reduces the risk of CN disconnection and penalty up to 90% compared to a baseline CN mapping approach, and increases the CN survivability up to 100% in both scenarios.

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Optical Networks for Grid and Cloud Computing Applications

Cited by 150 publications

References 90 publications

Future research directions in design of reliable communication systems

Future research directions in design of reliable communication systems

Green Cloud Provisioning Throughout Cooperation of a WDM Wide Area Network and a Hybrid Power IT Infrastructure

Disaster-survivable cloud-network mapping

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