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    Quality of Service Provision in Cloud-Based Storage System for Multimedia Delivery

    Yen-Ming Chu ; Nen-Fu Huang ; Sheng-Hsiung Lin
    Systems Journal, IEEE

    Volume: 8 , Issue: 1
    DOI: 10.1109/JSYST.2013.2257338
    Publication Year: 2014 , Page(s): 292 - 303

    IEEE Journals & Magazines

    With the emergence of various multimedia applications, service and devices, multimedia delivery is expected to become the major traffic of Internet which will keep increasing rapidly. In order to serve such large scale multimedia applications, more and more service providers store their video assets in the cloud and delivery streaming to their consumers cross cloud, for example, YouTube. Along with the growth of users and the amount of media content constantly being produced, traditional cloud-based storage has two drawbacks. First, a lot of servers and storages devices are needed, which could easily be the performance bottleneck in the whole system. Second, to provide differential classes of services in the large-scale situation, system tends to need many additional devices. This article proposes a robust, scalable, highly available and service level provisioning cloud-based storage system designed specifically for distributing multimedia content. The proposed system contains a proven Adaptive Quality of Service (AQoS) algorithm in order to provide differential service levels. The system can also be used flexibly in large, medium and small-scale environment. In addition, some algorithms are also developed to increase overall system performance and fault tolerance. Implementations and experiment results show that the proposed system can meet the requirements both in the laboratory and a practical commercial service environment. View full abstract»

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    An Integrated System for Regional Environmental Monitoring and Management Based on Internet of Things

    Shifeng Fang ; Li Da Xu ; Yunqiang Zhu ; Jiaerheng Ahati ; Huan Pei ; Jianwu Yan ; Zhihui Liu
    Industrial Informatics, IEEE Transactions on

    Volume: 10 , Issue: 2
    DOI: 10.1109/TII.2014.2302638
    Publication Year: 2014 , Page(s): 1596 - 1605

    IEEE Journals & Magazines

    Climate change and environmental monitoring and management have received much attention recently, and an integrated information system (IIS) is considered highly valuable. This paper introduces a novel IIS that combines Internet of Things (IoT), Cloud Computing, Geoinformatics [remote sensing (RS), geographical information system (GIS), and global positioning system (GPS)], and e-Science for environmental monitoring and management, with a case study on regional climate change and its ecological effects. Multi-sensors and Web services were used to collect data and other information for the perception layer; both public networks and private networks were used to access and transport mass data and other information in the network layer. The key technologies and tools include real-time operational database (RODB); extraction-transformation-loading (ETL); on-line analytical processing (OLAP) and relational OLAP (ROLAP); naming, addressing, and profile server (NAPS); application gateway (AG); application software for different platforms and tasks (APPs); IoT application infrastructure (IoT-AI); GIS and e-Science platforms; and representational state transfer/Java database connectivity (RESTful/JDBC). Application Program Interfaces (APIs) were implemented in the middleware layer of the IIS. The application layer provides the functions of storing, organizing, processing, and sharing of data and other information, as well as the functions of applications in environmental monitoring and management. The results from the case study show that there is a visible increasing trend of the air temperature in Xinjiang over the last 50 years (1962-2011) and an apparent increasing trend of the precipitation since the early 1980s. Furthermore, from the correlation between ecological indicators [gross primary production (GPP), net primary production (NPP), and leaf area index (LAI)] and meteorological elements (air temperature and precipitation), water resource availability is the decisi- e factor with regard to the terrestrial ecosystem in the area. The study shows that the research work is greatly benefited from such an IIS, not only in data collection supported by IoT, but also in Web services and applications based on cloud computing and e-Science platforms, and the effectiveness of monitoring processes and decision-making can be obviously improved. This paper provides a prototype IIS for environmental monitoring and management, and it also provides a new paradigm for the future research and practice; especially in the era of big data and IoT. View full abstract»

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    Location Matters: Optimal Data Placement in Mobile Telecom Cloud

    Vaezpour, S.Y. ; Kui Wu ; Shoja, G.C.
    Mobile Cloud Computing, Services, and Engineering (MobileCloud), 2014 2nd IEEE International Conference on

    DOI: 10.1109/MobileCloud.2014.34
    Publication Year: 2014 , Page(s): 176 - 185

    IEEE Conference Publications

    Mobile Telecom Cloud (MTC) refers to cloud services provided by mobile telecommunication companies. Since mobile network operators support the last-mile Internet access to users, they have advantages over other cloud providers by providing users with better mobile connectivity and required QoS. As users continue to require higher bandwidth and lower delay, mobile companies can exploit their unique role in the Internet access to meet the increasing demands, which are hard to guarantee by other pure computing companies. In addition, to save cost in cloud services, mobile network operators are in a stronger position to utilize their existing infrastructure, which are geographically distributed in nature. The dilemma in meeting higher QoS demands while saving cost poses a big challenge to MTC providers. We tackle this challenge by strategically placing users' data in distributed switching centres to minimize the total system cost and maximize users' satisfaction. We formulate and solve the optimization problems using linear programming (LP)based branch-and-bound and LP with rounding. For scalability, we propose a similarity-based clustering method to group users into classes. Simulation results show that with the help of our optimization algorithms, we can effectively reduce the system cost and enhance users' QoS. View full abstract»

  • Freely Available from IEEE

    Author index


    Mobile Cloud Computing, Services, and Engineering (MobileCloud), 2014 2nd IEEE International Conference on

    DOI: 10.1109/MobileCloud.2014.50
    Publication Year: 2014 , Page(s): 299 - 300

    IEEE Conference Publications

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    Planning and operating flexible optical networks: Algorithmic issues and tools

    Kretsis, A. ; Christodoulopoulos, K. ; Kokkinos, P. ; Varvarigos, E.
    Communications Magazine, IEEE

    Volume: 52 , Issue: 1
    DOI: 10.1109/MCOM.2014.6710065
    Publication Year: 2014 , Page(s): 61 - 69

    IEEE Journals & Magazines

    We discuss the basic algorithmic issues in planning and operating flexible optical networks, highlighting the challenges and differences from fixed-grid WDM networks. We also overview commercially available planning and operation tools, which (expectedly) lack support for flexible optical networks at the moment, as flexible technologies are not yet deployed in real networks. To fill this need we present the Mantis tool. Mantis' modular architecture provides fast running times, efficient and fault-tolerant usage of computation resources, and execution as both a desktop application and a cloud software-as-a-service. View full abstract»

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    A security management for Cloud based applications and services with Diameter-AAA

    Sah, S.K. ; Shakya, S. ; Dhungana, H.
    Issues and Challenges in Intelligent Computing Techniques (ICICT), 2014 International Conference on

    DOI: 10.1109/ICICICT.2014.6781243
    Publication Year: 2014 , Page(s): 6 - 11

    IEEE Conference Publications

    The Cloud computing offers various services and web based applications over the internet. With the tremendous growth in the development of cloud based services, the security issue is the main challenge and today's concern for the cloud service providers. This paper describes the management of security issues based on Diameter AAA mechanisms for authentication, authorization and accounting (AAA) demanded by cloud service providers. This paper focuses on the integration of Diameter AAA into cloud system architecture. View full abstract»

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    Cognitive Data Routing in Heterogeneous Mobile Cloud Networks

    Al-Saeed, L. ; Maozhen Li ; Al-Raweshidy, H.
    Mobile Cloud Computing, Services, and Engineering (MobileCloud), 2014 2nd IEEE International Conference on

    DOI: 10.1109/MobileCloud.2014.36
    Publication Year: 2014 , Page(s): 194 - 199

    IEEE Conference Publications

    Mobile cloud computing networking (MCCN) is a new approach of cloud-based resources where the cloud computing and mobility are integrated to form a new concept when accessing mobile services. This paper outlines the major models of mobile cloud networks and their challenges and proposes and analyzes a cognitive data routing method to extend the capacity of the access networks in mobile cloud services based on the integration of networking and computation concept in heterogeneous mobile cloud networks. View full abstract»

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    A Multi-token Authorization Strategy for Secure Mobile Cloud Computing

    Ahmad, A. ; Hassan, M.M. ; Aziz, A.
    Mobile Cloud Computing, Services, and Engineering (MobileCloud), 2014 2nd IEEE International Conference on

    DOI: 10.1109/MobileCloud.2014.21
    Publication Year: 2014 , Page(s): 136 - 141

    IEEE Conference Publications

    Cloud computing is an emerging paradigm shifting the shape of computing models from being a technology to a utility. However, security, privacy and trust are amongst the issues that can subvert the benefits and hence wide deployment of cloud computing. With the introduction of omnipresent mobile-based clients, the ubiquity of the model increases, suggesting a still higher integration in life. Nonetheless, the security issues rise to a higher degree as well. The constrained input methods for credentials and the vulnerable wireless communication links are among factors giving rise to serious security issues. To strengthen the access control of cloud resources, organizations now commonly acquire Identity Management Systems (IdM). This paper presents that the most popular IdM, namely OAuth, working in scope of Mobile Cloud Computing has many weaknesses in authorization architecture. In particular, authors find two major issues in current IdM. First, if the IdM System is compromised through malicious code, it allows a hacker to get authorization of all the protected resources hosted on a cloud. Second, all the communication links among client, cloud and IdM carries complete authorization token, that can allow hacker, through traffic interception at any communication link, an illegitimate access of protected resources. We also suggest a solution to the reported problems, and justify our arguments with experimentation and mathematical modeling. View full abstract»

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    COMIC: Cost Optimization for Internet Content Multihoming

    Yao, J. ; Zhou, H. ; Luo, J. ; Liu, X. ; Guan, H.
    Parallel and Distributed Systems, IEEE Transactions on

    Volume: PP , Issue: 99
    DOI: 10.1109/TPDS.2014.2330589
    Publication Year: 2014 , Page(s): 1

    IEEE Early Access Articles

    Content service is a type of Internet cloud service that provides end-users plentiful contents. To ensure high performance for content delivering, content service utilizes a technology known as content multihoming: contents are generated from multiple geographically distributed data centers and delivered by multiple distributed content distribution networks (CDNs). The electricity costs for data centers and the usage costs for CDNs are major contributors to the contents service cost. As electricity prices vary across data centers and usage costs vary across CDNs, scheduling data centers and CDNs has a tremendous consequence for optimizing content service cost. In this paper, we propose a novel framework named COMIC (Cost Optimization for Internet Content Multihoming). COMIC dynamically balances end-users’ loads among data centers and CDNs so as to minimize the content service cost. Using real-life electricity prices and CDN traces, the experiments demonstrate that COMIC effectively reduces the content service cost by more than 20%. View full abstract»

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    A case study on IVR applications' provisioning as cloud computing services

    Belqasmi, F. ; Azar, C. ; Glitho, R. ; Soualhia, M. ; Kara, N.
    Network, IEEE

    Volume: 28 , Issue: 1
    DOI: 10.1109/MNET.2014.6724104
    Publication Year: 2014 , Page(s): 33 - 41

    IEEE Journals & Magazines

    Interactive Voice Response (IVR) applications (e.g. automated attendant, automated survey) have become ubiquitous. However, very few, if any, IVR applications are provisioned today as cloud computing services despite all the potential benefits. Cloud computing is an emerging multi-faceted paradigm, whose main facets are Infrastructure as a Service-IaaS, Platform as a Service-PaaS, and Software as a Service-SaaS. This paper proposes a case study on IVR applications' provisioning as cloud computing services. It identifies the IVR substrates (e.g. key detector, voice recorder and dialog manager) on which the IVR applications rely and proposes at the IaaS level an IVR substrate virtualization infrastructure. Substrates' virtualization enables a more efficient resource usage, a key benefit inherent to cloud computing. The article also proposes at the PaaS level an accompanying platform to develop and manage the IVR applications which use the identified virtualized substrates. A few typical IVR applications are also developed and managed to illustrate the SaaS facet of cloud computing. The implementation is described, along with the prototype and the performance measurements. View full abstract»

  • Freely Available from IEEE

    [Publisher's information]


    Cluster, Cloud and Grid Computing (CCGrid), 2014 14th IEEE/ACM International Symposium on

    DOI: 10.1109/CCGrid.2014.56
    Publication Year: 2014 , Page(s): 956

    IEEE Conference Publications

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    Energy-Aware Scheduling on Heterogeneous Processors

    Akgun, O.T. ; Down, D.G. ; Righter, R.
    Automatic Control, IEEE Transactions on

    Volume: 59 , Issue: 3
    DOI: 10.1109/TAC.2013.2286756
    Publication Year: 2014 , Page(s): 599 - 613

    IEEE Journals & Magazines

    We study a multiserver system where servers are heterogeneous in terms of both their speeds and their usage (energy) costs. We show that the optimal control policy is threshold type, and can be implemented in a decentralized manner through an individually optimal policy. When there are no arrivals, we also derive explicit expressions for the thresholds. We consider both the case with reassignment, where jobs can be moved from one server to another at any time, and the case where reassignment is not possible. When reassignment is possible, determining which server is preferred (i.e., the one that is used even if there are very few jobs waiting) is surprisingly difficult. With arrivals, for the reassignment and no-reassignment cases, determining server preference is also difficult, and depends on the arrival rate. View full abstract»

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    A Cloud-Storage RFID Location Tracking System

    Lai, Y. ; Cheng, J.
    Magnetics, IEEE Transactions on

    Volume: 50 , Issue: 7 , Part: 1
    DOI: 10.1109/TMAG.2014.2303810
    Publication Year: 2014 , Article#: 3501004

    IEEE Journals & Magazines

    This paper presents a cloud-storage location tracking system designed and implemented with radio frequency identification (RFID) technology, wireless sensor network (WSN) technology, and a location tracking algorithm (LTA), based on cloud computing technology. This system used the signal attenuation model (SAM) in a nonopen space, received signal strength indicator (RSSI), link quality indicator (LQI), and cloud localization algorithm (CLA) for object tracking. The cloud-storage RFID location tracking system using a network node communication technique provided real-time localization and tracking for object recognition and collected the object information from sensors. The software as a service (SaaS) model was used for cloud computing to enhance user convenience. The personal homepage program (PHP) and cascading style sheets (CSS) language technologies were used for the user interface of the system. The SAM and reference tag information were used to reduce localization errors in the nonopen space. The cloud-storage RFID location tracking system achieved significant improvements in both high localization accuracy and low hardware costs. View full abstract»

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    Explaining the Role of Trust in Cloud Service Acquisition

    Adjei, J.K.
    Mobile Cloud Computing, Services, and Engineering (MobileCloud), 2014 2nd IEEE International Conference on

    DOI: 10.1109/MobileCloud.2014.48
    Publication Year: 2014 , Page(s): 283 - 288

    IEEE Conference Publications

    Effective digital identity management system is a critical enabler of cloud computing, since it supports the provision of the required assurances to the transacting parties. Such assurances sometimes require the disclosure of sensitive personal information. Given the prevalence of various forms of identity abuses on the Internet, a re-examination of the factors underlying cloud services acquisition has become critical and imperative. In order to provide better assurances, parties to cloud transactions must have confidence in service providers' ability and integrity in protecting their interest and personal information. Thus a trusted cloud identity ecosystem could promote such user confidence and assurances. Using a qualitative research approach, this paper explains the role of trust in cloud service acquisition by organizations. The paper focuses on the processes of acquisition of cloud services by financial institutions in Ghana. The study forms part of comprehensive study on the monetization of personal Identity information. View full abstract»

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    Platform Calibration for Load Balancing of Large Simulations: TLM Case

    Ruiz, Cristian ; Alexandru, Mihai ; Richard, Olivier ; Monteil, Thierry ; Aubert, Herve
    Cluster, Cloud and Grid Computing (CCGrid), 2014 14th IEEE/ACM International Symposium on

    DOI: 10.1109/CCGrid.2014.26
    Publication Year: 2014 , Page(s): 465 - 472

    IEEE Conference Publications

    The heterogeneous nature of distributed platforms such as computational Grids is one of the main barriers to effectively deploy tightly-coupled applications. For those applications, one common problem that appears due to the hardware heterogeneity is the load imbalance which slows down the application to the pace of the slower processor. One solution is to distribute the load adequately taking into account hardware capacities. To do so, an estimation of the hardware capacities for running the application has to be obtained. In this paper, we present a static load balancing for iterative tightly-coupled applications based on a profile prediction model. This technique is presented as a successful example of the interaction between experiment management tools and parallel applications. The experiment management tool Expo is used that enabled to: (1) provide a general, lightweight and descriptive way to capture the tuning and deployment of a parallel application in a computing infrastructure, (2) perform the tuning of the application efficiently in terms of human effort and resources needed. This paper reports the costs for carrying out the tuning of a large electromagnetic simulation based on TLM for the platform Grid'5000 and the improvements obtained on the total execution time of the application. View full abstract»

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    Self regulatory graph based model for managing VM migration in cloud data centers

    Kumar, N. ; Agarwal, S.
    Advance Computing Conference (IACC), 2014 IEEE International

    DOI: 10.1109/IAdCC.2014.6779414
    Publication Year: 2014 , Page(s): 731 - 734

    IEEE Conference Publications

    Cloud Computing involves the concepts of parallel processing and distributed computing in order to provide the shared resources by means of Virtual Machines(VMs) hosted by physical servers. Efficient management of VMs directly influences resource utilization and QoS delivered by the system. As the cloud setting is dynamic in nature, the number of VMs distributed among the physical servers tends to become uneven over a period of time. Under this circumstance, VMs must be migrated from overloaded server to underloaded server to balance the load. In this paper, we present a random graph model of the network of servers in a data center. By initiating random walks and using the heuristics Maximum Correlation Coefficient and Migration Opportunity, we select the migrating set of VMs as well as the target server respectively. Simulation results show that the model always finds a target server in minimum time. Also the graph maintains uniform average degree which shows that the network of physical servers remains load balanced even when the load and the migration opportunity vary with time. View full abstract»

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    Towards Scalable Traffic Management in Cloud Data Centers

    Assi, C. ; Ayoubi, S. ; Sebbah, S. ; Shaban, K.
    Communications, IEEE Transactions on

    Volume: 62 , Issue: 3
    DOI: 10.1109/TCOMM.2014.012614.130747
    Publication Year: 2014 , Page(s): 1033 - 1045

    IEEE Journals & Magazines

    Cloud Computing is becoming a mainstream paradigm, as organizations, large and small, begin to harness its benefits. This novel technology brings new challenges, mostly in the protocols that govern its underlying infrastructure. Traffic engineering in cloud data centers is one of these challenges that has attracted attention from the research community, particularly since the legacy protocols employed in data centers offer limited and unscalable traffic management. Many advocated for the use of VLANs as a way to provide scalable traffic management, however, finding the optimal traffic split between VLANs is the well known NP-Complete VLAN assignment problem. The size of the search space of the VLAN assignment problem is huge, even for small size networks. This paper introduce a novel decomposition approach to solve the VLAN mapping problem in cloud data centers through column generation. Column generation is an effective technique that is proven to reach optimality by exploring only a small subset of the search space. We introduce both an exact and a semi-heuristic decomposition with the objective to achieve load balancing by minimizing the maximum link load in the network. Our numerical results have shown that our approach explores less than 1% of the available search space, with an optimality gap of at most 4%. We have also compared and assessed the performance of our decomposition model and state of the art protocols in traffic engineering. This comparative analysis proves that our model attains encouraging gain over its peers. View full abstract»

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    Tenant Level Checkpointing of Meta-data for Multi-tenancy SaaS

    Yousef, Basel ; Zhu, Hong ; Younas, Muhammad
    Service Oriented System Engineering (SOSE), 2014 IEEE 8th International Symposium on

    DOI: 10.1109/SOSE.2014.22
    Publication Year: 2014 , Page(s): 148 - 153

    IEEE Conference Publications

    Traditional checkpointing techniques are facing a grave challenge when applied to multi-tenancy software-as-a-service (SaaS) systems due to the huge scale of the system state and the diversity of users' requirements on the quality of services. This paper proposes the notion of tenant level checkpointing and an algorithm that exploits Big Data techniques to checkpoint tenant's meta-data, which are widely used in configuring SaaS for tenant-specific features. The paper presents a prototype implementation of the proposed technique using NoSQL database Couchbase and reports the experiments that compare it with traditional implementation of checkpointing using file systems. Experiments show that the Big Data approach has a significantly lower latency in comparison with the traditional approach. View full abstract»

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    Dynamic Multiservice Load Balancing in Cloud-Based Multimedia System

    Chun-Cheng Lin ; Hui-Hsin Chin ; Der-Jiunn Deng
    Systems Journal, IEEE

    Volume: 8 , Issue: 1
    DOI: 10.1109/JSYST.2013.2256320
    Publication Year: 2014 , Page(s): 225 - 234

    IEEE Journals & Magazines

    Consider a centralized hierarchical cloud-based multimedia system (CMS) consisting of a resource manager, cluster heads, and server clusters, in which the resource manager assigns clients' requests for multimedia service tasks to server clusters according to the task characteristics, and then each cluster head distributes the assigned task to the servers within its server cluster. For such a complicated CMS, however, it is a research challenge to design an effective load balancing algorithm that spreads the multimedia service task load on servers with the minimal cost for transmitting multimedia data between server clusters and clients, while the maximal load limit of each server cluster is not violated. Unlike previous work, this paper takes into account a more practical dynamic multiservice scenario in which each server cluster only handles a specific type of multimedia task, and each client requests a different type of multimedia service at a different time. Such a scenario can be modelled as an integer linear programming problem, which is computationally intractable in general. As a consequence, this paper further solves the problem by an efficient genetic algorithm with an immigrant scheme, which has been shown to be suitable for dynamic problems. Simulation results demonstrate that the proposed genetic algorithm can efficiently cope with dynamic multiservice load balancing in CMS. View full abstract»

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    Green-Learning in India

    Roy, S.
    Advanced Computing & Communication Technologies (ACCT), 2014 Fourth International Conference on

    DOI: 10.1109/ACCT.2014.9
    Publication Year: 2014 , Page(s): 447 - 450

    IEEE Conference Publications

    This topic explains how recent changes in the teaching are influenced by the increased use of computer and its associated technology. This paper also attempts to illustrate on how the pedagogy associated has also undergone a major transformation due to computers and other associated technologies. View full abstract»

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    Resource Usage Control in Multi-tenant Applications

    Krebs, Rouven ; Spinner, Simon ; Ahmed, Nadia ; Kounev, Samuel
    Cluster, Cloud and Grid Computing (CCGrid), 2014 14th IEEE/ACM International Symposium on

    DOI: 10.1109/CCGrid.2014.80
    Publication Year: 2014 , Page(s): 122 - 131

    IEEE Conference Publications

    Multi-tenancy is an approach to share one application instance among multiple customers by providing each of them a dedicated view. This approach is commonly used by SaaSproviders to reduce the costs for service provisioning. Tenants also expect to be isolated in terms of the performance they observe and the providers inability to offer performance guarantees is a major obstacle for potential cloud customers. To guarantee an isolated performance it is essential to control the resources used by a tenant. This is a challenge, because the layers of the execution environment, responsible for controlling resource usage(e.g., operating system), normally do not have knowledge about entities defined at the application level and thus they cannot distinguish between different tenants. Furthermore, it is hard to predict how tenant requests propagate through the multiple layers of the execution environment down to the physical resource layer. The intended abstraction of the application from the resource controlling layers does not allow to solely solving this problem in the application. In this paper, we propose an approach which applies resource demand estimation techniques in combination with a request based admission control. The resource demand estimation is used to determine resource consumption information for individual requests. The admission control mechanism uses this knowledge to delay requests originating from tenants that exceed their allocated resource share. The proposed method is validated by a widely accepted benchmark showing its applicability in a setup motivated by today's platform environments. View full abstract»

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    iCloudAccess: Cost-Effective Streaming of Video Games from the Cloud with Low Latency

    Wu, D. ; Xue, Z. ; He, J.
    Circuits and Systems for Video Technology, IEEE Transactions on

    Volume: PP , Issue: 99
    DOI: 10.1109/TCSVT.2014.2302543
    Publication Year: 2014 , Page(s): 1

    IEEE Early Access Articles

    As a new paradigm, cloud gaming allows users to play high-end video games instantly without downloading or installing the original game software. In this paper, we first conduct a series of well-designed active and passive measurements on a large-scale cloud gaming platform and identify that there exists significant diversity in the queueing delay and response delay among users. We point out that the latency problem largely results from user-specified request routing and inelastic server provisioning. To address latency problem of the cloud gaming platform, we further propose an online control algorithm called iCloudAccess to perform intelligent request dispatching and server provisioning. Our main objective is to cut down the provisioning cost of cloud gaming service providers while still ensuring the user QoE requirements. We formulate the problem as a constrained stochastic optimization problem and apply the Lyapunov optimization theory to derive the online control algorithm with provable upper-bounds. We also conduct extensive trace-driven simulations to evaluate the effectiveness of our algorithm and our results show that our proposed algorithm achieves significant gain over other alternative approaches. View full abstract»

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    Supporting Elasticity in OpenMP Applications

    Galante, G. ; Bona, L.C.E.
    Parallel, Distributed and Network-Based Processing (PDP), 2014 22nd Euromicro International Conference on

    DOI: 10.1109/PDP.2014.36
    Publication Year: 2014 , Page(s): 188 - 195

    IEEE Conference Publications

    Elasticity can be seen as the ability of a system to increase or decrease the computing resources allocated in a dynamic and on demand way. In order to explore this feature, several works addressed the development of frameworks and platforms focusing the construction of elastic parallel and distributed applications for IaaS clouds. However, none of these works addressed the exploration of elasticity in multithreaded applications. In this paper, we propose a mechanism to provide elasticity support for OpenMP applications, making possible the dynamic provisioning of cloud resources taking into account the program structure and runtime requirements. In our proposal, the OpenMP directives were modified to support the dynamic adjustment of resources and a set of routines were included to the user-level library in order to enable the configuration of the the elastic execution. Dynamic memory allocation support was also included in elastic OpenMP library. We also present the architecture and implementation of the proposed mechanism. The experiments validate our approach and show some possibilities to use the elastic OpenMP. View full abstract»

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    The cloudlet with a silver lining

    Kommineni, S. ; De, A. ; Alladi, S. ; Chilukuri, S.
    Communication Systems and Networks (COMSNETS), 2014 Sixth International Conference on

    DOI: 10.1109/COMSNETS.2014.6734926
    Publication Year: 2014 , Page(s): 1 - 4

    IEEE Conference Publications

    Cyber-foraging makes resource-constrained mobile devices more powerful by using the resources elsewhere in the network. Just-in-time cyber foraging with dynamic VM synthesis has been proposed to increase the performance of mobile devices, which connect a nearby fixed device - called a cloudlet - and borrow its capabilities. The cloudlet runs an instance of the VM of mobile device and the application (app) on it. However, off-loading itself may consume time and memory, leading to poor performance of the app. When there are many cloudlets within range of the mobile device, choosing just any cloudlet to connect to may lead to avoidable and noticeable delays and poor performance of the application. In this paper, we propose a scheme where the best possible cloudlet can be identified by the mobile device to connect to. The choice of the cloudlet should be based on several factors like its processing power, available memory and bandwidth and the nature of the app itself. By choosing a cloudlet more suited for the application as the site of cyber-foraging, we aim to improve the performance of the mobile application. View full abstract»

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    A sustainable approach to large ICT science based infrastructures; the case for radio astronomy

    Barbosa, Domingos ; Barraca, Joao Paulo ; Boonstra, Albert-Jan ; Aguiar, Rui ; van Ardenne, Arnold ; Santander-Vela, Juande de ; Verdes-Montenegro, Lourdes
    Energy Conference (ENERGYCON), 2014 IEEE International

    DOI: 10.1109/ENERGYCON.2014.6850498
    Publication Year: 2014 , Page(s): 668 - 674

    IEEE Conference Publications

    Large sensor-based infrastructures for radio astronomy will be among the most intensive data-driven projects in the world, facing very high power demands. The geographically wide distribution of these infrastructures and their associated processing High Performance Computing (HPC) facilities require Green Information and Communications Technologies (ICT): a combination is needed of low power computing, power and byte efficient data storage, local data services, Smart Grid power management, and inclusion of Renewable Energies. Here we outline the major characteristics and innovation approaches to address power efficiency and long-term power sustainability for radio astronomy projects, focusing on Green ICT for science. View full abstract»

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