Outsourcing to the Cloud is becoming an attractive option for many organisations dealing with large amounts of data. However, there is still a reluctance amongst companies dealing with highly regulated data because traditional Cloud storage does not support the level of privacy required to prevent access pattern leakage. Oblivious Random Access Machines (ORAM) have been a hot topic of research over the past number of years, proposing various cryptographic techniques to obtain the privacy levels required. We propose a new model, Dog ORAM - a distributed and shared oblivious RAM model with server side computation, that merges several models existing in the literature and includes a new method of access right management for multi-party data access. To achieve this, we use an additive homomorphic encryption scheme and a chameleon signature.
{"title":"Dog ORAM: A Distributed and Shared Oblivious RAM Model with Server Side Computation","authors":"Alexandre Pujol, Christina Thorpe","doi":"10.1109/UCC.2015.109","DOIUrl":"https://doi.org/10.1109/UCC.2015.109","url":null,"abstract":"Outsourcing to the Cloud is becoming an attractive option for many organisations dealing with large amounts of data. However, there is still a reluctance amongst companies dealing with highly regulated data because traditional Cloud storage does not support the level of privacy required to prevent access pattern leakage. Oblivious Random Access Machines (ORAM) have been a hot topic of research over the past number of years, proposing various cryptographic techniques to obtain the privacy levels required. We propose a new model, Dog ORAM - a distributed and shared oblivious RAM model with server side computation, that merges several models existing in the literature and includes a new method of access right management for multi-party data access. To achieve this, we use an additive homomorphic encryption scheme and a chameleon signature.","PeriodicalId":381279,"journal":{"name":"2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121300998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bushra AlBelooshi, K. Salah, T. Martin, E. Damiani
Infrastructure-as-a-Service (IaaS) is a widespread cloud computing provisioning model where ICT infrastructure, including servers, storage and networking, is supplied on-demand, in a pay-as-you-go fashion. IaaS cloud providers give their clients virtual machines (VMs) that are controlled by cloud administrators who can run, stop, restore and migrate the VMs. A typical threat to IaaS is unauthorized access of untrustworthy administrators to cloud users' sensitive information residing in VMs' memory. In this paper we focus on the threat of users' cryptographic keys being stolen from the RAM of the VM they provision. We propose a decrypt-scatter/gather-decrypt technique that allows users to carry our encryption/decryption while protecting keys from unauthorized peeks on the part of cloud administrators. Our technique does not require modification to the current cloud architecture, but only the availability of a Trusted Platform Module (TPM) capable of creating and holding a TPM-protected public/private key pair. It lends itself to security-as-a-service scenarios where third parties perform encryption/decryption on behalf of data owners.
{"title":"Securing Cryptographic Keys in the IaaS Cloud Model","authors":"Bushra AlBelooshi, K. Salah, T. Martin, E. Damiani","doi":"10.1109/UCC.2015.64","DOIUrl":"https://doi.org/10.1109/UCC.2015.64","url":null,"abstract":"Infrastructure-as-a-Service (IaaS) is a widespread cloud computing provisioning model where ICT infrastructure, including servers, storage and networking, is supplied on-demand, in a pay-as-you-go fashion. IaaS cloud providers give their clients virtual machines (VMs) that are controlled by cloud administrators who can run, stop, restore and migrate the VMs. A typical threat to IaaS is unauthorized access of untrustworthy administrators to cloud users' sensitive information residing in VMs' memory. In this paper we focus on the threat of users' cryptographic keys being stolen from the RAM of the VM they provision. We propose a decrypt-scatter/gather-decrypt technique that allows users to carry our encryption/decryption while protecting keys from unauthorized peeks on the part of cloud administrators. Our technique does not require modification to the current cloud architecture, but only the availability of a Trusted Platform Module (TPM) capable of creating and holding a TPM-protected public/private key pair. It lends itself to security-as-a-service scenarios where third parties perform encryption/decryption on behalf of data owners.","PeriodicalId":381279,"journal":{"name":"2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122243452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Recent papers studied the control of spectral centrality measures of a network by manipulating the topology of the network. We extend these works by focusing on a specific spectral centrality measure, the Katz-Bonacich centrality. The optimization of the Katz-Bonacich centrality using a topological control is called the Katz-Bonacich optimization problem. We first prove that this problem is equivalent to a linear optimization problem. Thus, in the context of large graphs, we can use state of the art algorithms. We provide a specific applications of the Katz-Bonacich centrality minimization problem based on the minimization of gossip propagation and make some experiments on real networks.
{"title":"Controlling the Katz-Bonacich Centrality in Social Network: Application to Gossip in Online Social Networks","authors":"Alexandre Reiffers, E. Altman, Y. Hayel","doi":"10.1109/UCC.2015.79","DOIUrl":"https://doi.org/10.1109/UCC.2015.79","url":null,"abstract":"Recent papers studied the control of spectral centrality measures of a network by manipulating the topology of the network. We extend these works by focusing on a specific spectral centrality measure, the Katz-Bonacich centrality. The optimization of the Katz-Bonacich centrality using a topological control is called the Katz-Bonacich optimization problem. We first prove that this problem is equivalent to a linear optimization problem. Thus, in the context of large graphs, we can use state of the art algorithms. We provide a specific applications of the Katz-Bonacich centrality minimization problem based on the minimization of gossip propagation and make some experiments on real networks.","PeriodicalId":381279,"journal":{"name":"2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126057216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Roger Baig, Felix Freitag, A. Moll, Leandro Navarro-Moldes, R. P. Centelles, Vladimir Vlassov
Cloud federation is foreseen to happen among large cloud providers. The resulting interoperability of cloud services among these providers will then increase even more the elasticity of cloud services. The cloud provisioned that is targeted by this scenario is mainly one which combines the cloud services offered by large enterprises. Cloud computing, however, has started moving to the edge. We now increasingly see the tendency to fullfil cloud computing requirements by multiple levels and different kind of infrastructures, where the Fog Computing paradigm has started playing its role. For this scenario of edge computing, we show in this paper the case of the federation of multiple independent micro-cloud providers within a community network, where providers pool their resources and services into a community cloud. Federation happens here primarily at the service level and the domain of trust is the community of practice. While we can today already report this case in the context of community networks, IPv6 deployment in the Internet will principally allow micro-cloud providers to appear everywhere, needing cloud federation mechanisms. We describe for a real case how this micro-cloud provider federation has been built and argue why micro-cloud provider should be considered for the integration in cloud federations.
{"title":"Experiences in Building Micro-cloud Provider Federation in the Guifi Community Network","authors":"Roger Baig, Felix Freitag, A. Moll, Leandro Navarro-Moldes, R. P. Centelles, Vladimir Vlassov","doi":"10.1109/UCC.2015.92","DOIUrl":"https://doi.org/10.1109/UCC.2015.92","url":null,"abstract":"Cloud federation is foreseen to happen among large cloud providers. The resulting interoperability of cloud services among these providers will then increase even more the elasticity of cloud services. The cloud provisioned that is targeted by this scenario is mainly one which combines the cloud services offered by large enterprises. Cloud computing, however, has started moving to the edge. We now increasingly see the tendency to fullfil cloud computing requirements by multiple levels and different kind of infrastructures, where the Fog Computing paradigm has started playing its role. For this scenario of edge computing, we show in this paper the case of the federation of multiple independent micro-cloud providers within a community network, where providers pool their resources and services into a community cloud. Federation happens here primarily at the service level and the domain of trust is the community of practice. While we can today already report this case in the context of community networks, IPv6 deployment in the Internet will principally allow micro-cloud providers to appear everywhere, needing cloud federation mechanisms. We describe for a real case how this micro-cloud provider federation has been built and argue why micro-cloud provider should be considered for the integration in cloud federations.","PeriodicalId":381279,"journal":{"name":"2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125086430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
STEM education can enormously benefit from cloud technology. The cloud can offer instructors and students (whether local or remote) on-demand, dedicated, isolated, unlimited, and easily configurable compute and storage resources. The cloud can significantly reduce cost and expenditure on lab construction and maintenance. Due to these features, the cloud has been widely adopted by many universities and schools throughout the world. In this paper, we show how the cloud can be utilized to replace traditional physical computer networks laboratories. In particular, we demonstrate how cloud-based laboratory exercises related to computer networks can greatly help students in acquiring almost all crucial computer networks skills. The cloud we used for this course was the Amazon Web Services (AWS) public cloud. However, the use cases and approaches are equally applicable to other cloud platforms.
{"title":"Using the Cloud to Teach Computer Networks","authors":"Mhd Wael Bazzaza, K. Salah","doi":"10.1109/UCC.2015.49","DOIUrl":"https://doi.org/10.1109/UCC.2015.49","url":null,"abstract":"STEM education can enormously benefit from cloud technology. The cloud can offer instructors and students (whether local or remote) on-demand, dedicated, isolated, unlimited, and easily configurable compute and storage resources. The cloud can significantly reduce cost and expenditure on lab construction and maintenance. Due to these features, the cloud has been widely adopted by many universities and schools throughout the world. In this paper, we show how the cloud can be utilized to replace traditional physical computer networks laboratories. In particular, we demonstrate how cloud-based laboratory exercises related to computer networks can greatly help students in acquiring almost all crucial computer networks skills. The cloud we used for this course was the Amazon Web Services (AWS) public cloud. However, the use cases and approaches are equally applicable to other cloud platforms.","PeriodicalId":381279,"journal":{"name":"2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122532989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The use of cloud computing for AEC (Architecture/ Engineering/ Construction) projects has been intensively explored in recent research. Companies have adopted cloud computing for storing the massive amount of data that the AEC industry generates. In most cases these cloud systems are private, isolated and limited in terms of the actual computing operations. With the emergence of "multi-Clouds" or Cloud-of-Clouds environments it has become possible to link such systems and create a distributed environment. The key benefits suggested for such an aggregation is: (i) reduced reliance on a single cloud infrastructure, (ii) improved fault tolerance (whereby failure in one Cloud system does not render the entire infrastructure inoperable), (iii) improved security -- similar argument to fault tolerance, i.e. a breach in one Cloud system does not impact the entire infrastructure, (iv) the ability to utilise capability (and data) that may only be available in one Cloud system and not be easily transferable to another. Such infrastructure becomes efficacious when multiple individuals and organisations work collaboratively. In this paper we present a coordination model for distributed clouds where the interacting parties are represented by AEC industry organisations. We present the underlying architecture that has been implemented as part of the "Clouds-for-Coordination"(C4C) project and provide a real use case where different organisations work jointly on an AEC project. We validate our system by measuring an "aggregated time-to-complete" metric over a number of different scenarios.
{"title":"Clouds4Coordination: Managing Project Collaboration in Federated Clouds","authors":"I. Petri, O. Rana, T. Beach, Y. Rezgui, A. Sutton","doi":"10.1109/UCC.2015.88","DOIUrl":"https://doi.org/10.1109/UCC.2015.88","url":null,"abstract":"The use of cloud computing for AEC (Architecture/ Engineering/ Construction) projects has been intensively explored in recent research. Companies have adopted cloud computing for storing the massive amount of data that the AEC industry generates. In most cases these cloud systems are private, isolated and limited in terms of the actual computing operations. With the emergence of \"multi-Clouds\" or Cloud-of-Clouds environments it has become possible to link such systems and create a distributed environment. The key benefits suggested for such an aggregation is: (i) reduced reliance on a single cloud infrastructure, (ii) improved fault tolerance (whereby failure in one Cloud system does not render the entire infrastructure inoperable), (iii) improved security -- similar argument to fault tolerance, i.e. a breach in one Cloud system does not impact the entire infrastructure, (iv) the ability to utilise capability (and data) that may only be available in one Cloud system and not be easily transferable to another. Such infrastructure becomes efficacious when multiple individuals and organisations work collaboratively. In this paper we present a coordination model for distributed clouds where the interacting parties are represented by AEC industry organisations. We present the underlying architecture that has been implemented as part of the \"Clouds-for-Coordination\"(C4C) project and provide a real use case where different organisations work jointly on an AEC project. We validate our system by measuring an \"aggregated time-to-complete\" metric over a number of different scenarios.","PeriodicalId":381279,"journal":{"name":"2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131454363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Farhan Ahmad, Muhammad Kazim, A. Adnane, Abir Awad
Vehicular Ad Hoc Networks (VANET) are the largest real life application of ad-hoc networks where nodes are represented via fast moving vehicles. This paper introduces the future emerging technology, i.e., Vehicular Cloud Networking (VCN) where vehicles and adjacent infrastructure merge with traditional internet clouds to offer different applications ranging from low sized applications to very complex applications. VCN is composed of three types of clouds: Vehicular cloud, Infrastructure cloud and traditional Back-End (IT) cloud. We introduced these clouds via a three tier architecture along with their operations and characteristics. We have proposed use cases of each cloud tier that explain how it is practically created and utilised while taking the vehicular mobility in consideration. Moreover, it is critical to ensure security, privacy and trust of VCN network and its assets. Therefore, to describe the security of VCN, we have provided an in-depth analysis of different threats related to each tier of VCN. The threats related to vehicular cloud and infrastructure cloud are categorized according to their assets, i.e., vehicles, adjacent infrastructure, wireless communication, vehicular messages, and vehicular cloud threats. Similarly, the Back-End cloud threats are categorized into data and network threats. The possible implications of these threats and their effects on various components of VCN are also explained in detail.
{"title":"Vehicular Cloud Networks: Architecture, Applications and Security Issues","authors":"Farhan Ahmad, Muhammad Kazim, A. Adnane, Abir Awad","doi":"10.1109/UCC.2015.101","DOIUrl":"https://doi.org/10.1109/UCC.2015.101","url":null,"abstract":"Vehicular Ad Hoc Networks (VANET) are the largest real life application of ad-hoc networks where nodes are represented via fast moving vehicles. This paper introduces the future emerging technology, i.e., Vehicular Cloud Networking (VCN) where vehicles and adjacent infrastructure merge with traditional internet clouds to offer different applications ranging from low sized applications to very complex applications. VCN is composed of three types of clouds: Vehicular cloud, Infrastructure cloud and traditional Back-End (IT) cloud. We introduced these clouds via a three tier architecture along with their operations and characteristics. We have proposed use cases of each cloud tier that explain how it is practically created and utilised while taking the vehicular mobility in consideration. Moreover, it is critical to ensure security, privacy and trust of VCN network and its assets. Therefore, to describe the security of VCN, we have provided an in-depth analysis of different threats related to each tier of VCN. The threats related to vehicular cloud and infrastructure cloud are categorized according to their assets, i.e., vehicles, adjacent infrastructure, wireless communication, vehicular messages, and vehicular cloud threats. Similarly, the Back-End cloud threats are categorized into data and network threats. The possible implications of these threats and their effects on various components of VCN are also explained in detail.","PeriodicalId":381279,"journal":{"name":"2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132591922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yonal Kirsal, Y. K. Ever, L. Mostarda, O. Gemikonakli
In recent years, cloud computing becomes a new computing model emerged from the rapid development of the internet. Users can reach their resources with high flexibility using the cloud computing systems all over the world. However, such systems are prone to failures. In order to obtain realistic quality of service (QoS) measurements, failure and recovery behaviours of the system should be considered. System's failures and repairs are associated with availability context in QoS measurements. In this paper, performance issues are considered with the availability of the system. Markov Reward Model (MRM) method is used to get QoS measurements. The mean queue length (MQL) results are calculated using the MRM. The results explicitly show that failures and repairs affect the system performance significantly.
{"title":"Analytical Modelling and Performability Analysis for Cloud Computing Using Queuing System","authors":"Yonal Kirsal, Y. K. Ever, L. Mostarda, O. Gemikonakli","doi":"10.1109/UCC.2015.115","DOIUrl":"https://doi.org/10.1109/UCC.2015.115","url":null,"abstract":"In recent years, cloud computing becomes a new computing model emerged from the rapid development of the internet. Users can reach their resources with high flexibility using the cloud computing systems all over the world. However, such systems are prone to failures. In order to obtain realistic quality of service (QoS) measurements, failure and recovery behaviours of the system should be considered. System's failures and repairs are associated with availability context in QoS measurements. In this paper, performance issues are considered with the availability of the system. Markov Reward Model (MRM) method is used to get QoS measurements. The mean queue length (MQL) results are calculated using the MRM. The results explicitly show that failures and repairs affect the system performance significantly.","PeriodicalId":381279,"journal":{"name":"2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132959797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Software-Defined Networking (SDN) has emerged as a novel network architectural model that facilitates management of large-scale networks, enables efficient network virtualization and scalable network multi-tenancy. Centralized network controllers, an important component in the SDN paradigm, deploy on the data plane devices network policies from several independent sources, defined based on a global network view. While this approach allows to efficiently manage network connectivity and reduce the time and cost of deploying new configurations, it also increases the risk for errors -- either introduced by accident, through a combination with previous policies, or by a motivated adversary. In this position paper we review the state of the art for network policy verification for SDN deployments, identify existing challenges and outline a secure framework for network policy management in SDN deployments. Combined with existing work on cloud platform and storage security, this will contribute towards creating secure and trusted cloud deployments.
{"title":"Towards Secure SDN Policy Management","authors":"Nicolae Paladi","doi":"10.1109/UCC.2015.106","DOIUrl":"https://doi.org/10.1109/UCC.2015.106","url":null,"abstract":"Software-Defined Networking (SDN) has emerged as a novel network architectural model that facilitates management of large-scale networks, enables efficient network virtualization and scalable network multi-tenancy. Centralized network controllers, an important component in the SDN paradigm, deploy on the data plane devices network policies from several independent sources, defined based on a global network view. While this approach allows to efficiently manage network connectivity and reduce the time and cost of deploying new configurations, it also increases the risk for errors -- either introduced by accident, through a combination with previous policies, or by a motivated adversary. In this position paper we review the state of the art for network policy verification for SDN deployments, identify existing challenges and outline a secure framework for network policy management in SDN deployments. Combined with existing work on cloud platform and storage security, this will contribute towards creating secure and trusted cloud deployments.","PeriodicalId":381279,"journal":{"name":"2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121635922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ignacio Castiñeiras, Danuta Sorina Chisca, D. Mehta, B. O’Sullivan
The power consumption of a data centre (DC) can be attributed to the power consumed by running the servers and the power consumed for cooling them. The challenge is to optimally balance IT and cooling power requirements, which demands the minimisation of a non-linear energy utilisation function. In this paper we propose a problem decomposition-based approach to tackle a non-linear energy utilisation function and successfully apply it to minimising the energy consumption of a DC.
{"title":"Trichotomic Search for Thermal-Aware Data Centre Workload Optimisation","authors":"Ignacio Castiñeiras, Danuta Sorina Chisca, D. Mehta, B. O’Sullivan","doi":"10.1109/UCC.2015.94","DOIUrl":"https://doi.org/10.1109/UCC.2015.94","url":null,"abstract":"The power consumption of a data centre (DC) can be attributed to the power consumed by running the servers and the power consumed for cooling them. The challenge is to optimally balance IT and cooling power requirements, which demands the minimisation of a non-linear energy utilisation function. In this paper we propose a problem decomposition-based approach to tackle a non-linear energy utilisation function and successfully apply it to minimising the energy consumption of a DC.","PeriodicalId":381279,"journal":{"name":"2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124114862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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