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Simulated-Annealing Load Balancing for Resource Allocation in Cloud Environments

Simulated-Annealing Load Balancing for Resource Allocation i...

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14th international conference on Parallel and distributed computing, Applications and Technologies (PDCAT)

作者： Fan, Zongqin Shen, Hong Wu, Yanbo Li, Yidong Beijing Jiaotong Univ Sch Comp & Informat Technol Beijing Peoples R China Univ Adelaide Sch Comp Sci Adelaide SA 5005 Australia

ISBN: (纸本)9781479924189

Recently, the development of cloud computing has received considerable attention. For cloud service providers, packing VMs onto a small number of servers is an effective way to reduce energy costs, so as to improve the efficiency of the data center. However allocating too many VMs on a physical machine may cause some hotspots which violate the SLA of applications. Load balancing of the entire system is hence needed to guarantee the SLA. In this paper, we present a simulated-annealing load balancing algorithm for solving the resource allocation and scheduling problem in a cloud computing environment. Experimental results show that this method is able to achieve load balancing, and performs better than the roundrobin and basic simulated-annealing algorithms.

关键词： cloud computing virtual machine simulated annealing algorithm load balancing

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An Insight into the State-of-the-Art Vehicular Fog computing with an Opportunistic Flavour 14th

An Insight into the State-of-the-Art Vehicular Fog Computi...

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14th international conference on Parallel Processing and Applied Mathematics, PPAM 2022

作者： Ostrowski, Krzysztof Malecki, Krzysztof West Pomeranian University of Technology Szczecin Poland

ISBN: (纸本)9783031304446

Vehicular fog computing constitutes an environment for execution of demanding computation and storage tasks. there formed a hierarchical decentralised and distributed architecture supports the resource-constrained devices in completion of assignments too complex for them, and too latency-sensitive to be delegated to a cloud. this paper evaluates the recent advances in the research on vehicular fog computing focused on the exploitation of resources of the moving vehicles that operate in the opportunistic device-to-device dynamic networking environments. the proposed evaluation criteria consider structural, behavioural, and functional safety aspects of such systems. A set of research directions concludes this article. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Fog computing

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Crowdsourcing for Mobile Data Management (Advanced Seminar Abstract)

Crowdsourcing for Mobile Data Management (Advanced Seminar A...

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IEEE 14th international conference on Mobile Data Management (MDM)

作者： Chatzimilioudis, Georgios Zeinalipour-Yazti, Demetrios Univ Cyprus Dept Comp Sci CY-1678 Nicosia Cyprus

ISBN: (纸本)9781467360685

Crowdsourcing refers to a distributed problem-solving model in which a crowd of undefined size is engaged in the task of solving a complex problem through an open call. this novel problem-solving model found its way into numerous applications on the web for voting, fund-raising, micro-works and wisdom-of-the-crowd scenarios. On the other hand, the shift of desktop users to mobile platforms in the post-PC era, along with the unique multi-sensing capabilities of modern mobile devices are expected to eventually unfold the full potential of Crowdsourcing. Smartphones offer a great platform for extending and diversifying web-based crowdsourcing applications to a larger contributing crowd, making contribution easier and omni-present. this advanced seminar presents the fundamental concepts behind crowdsourcing and its applications to mobile data management. In the first part of the seminar, we will overview the crowdsourcing research landscape from a variety of perspectives, with a particular emphasis on the latest data management trends. In the second and more extended part of the seminar, we will focus on an in-depth coverage of emerging mobile crowdsourcing architectures and systems, through a multi-dimensional taxonomy that will address location, sensing, power, performance, big-data and privacy among others. Furthermore, we will overview a number of in-house crowdsourcing prototypes we have developed and deployed over the last few years. the seminar concludes with challenges, opportunities and new directions in the field.

关键词： Internet mobile computing smart phones

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Security metrics for risk assessment of distributed information systems

Security metrics for risk assessment of distributed informat...

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2013 IEEE 7th international conference on Intelligent Data Acquisition and Advanced computing Systems, IDAACS 2013

作者： Kotenko, Igor Doynikova, Elena 39 14th Liniya St.-Petersburg Russia

ISBN: (纸本)9781479914265

the paper considers the main issues and recommendations for using the risk assessment techniques based on the analysis of static, dynamic and historical security information. the system of security metrics and techniques for their calculation are suggested. Proposed techniques are based on attack graphs and service dependencies. they allow evaluating security of network topologies, malefactors and attack characteristics, and integral security properties and characteristics calculated on the basis of the cost-benefit and zero-day vulnerability analysis. the approach is intended to be implemented in the framework of the FP7 EU MASSIF project. © 2013 IEEE.

关键词： Risk assessment

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Neural network-based load prediction for highly dynamic distributed online games

Neural network-based load prediction for highly dynamic dist...

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14th international Euro-Par conference on Parallel computing

作者： Nae, Vlad Prodan, Radu Fahringer, thomas Univ Innsbruck Inst Comp Sci A-6020 Innsbruck Austria

ISBN: (纸本)9783540854500

We propose a neural network-based prediction method for the future entity layout in massively multiplayer online games. Our service has the potential to timely foresee critical hot-spots in fast-paced First Person Shooter action games that saturate the game servers which no longer respond to user actions at the required rate. Using our service, proactive load balancing (and redistribution) actions can be triggered. We show results based on a realistic simulation environment that demonstrate the advantages of our method compared to other conventional ones, especially due to its ability to adapt;to different load patterns.

关键词： Social networking (online)

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Preserving Private Cloud Service Data Based on Hypergraph Anonymization 14

Preserving Private Cloud Service Data Based on Hypergraph An...

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14th international conference on Parallel and distributed computing, Applications and Technologies (PDCAT)

作者： Li, Yuechuan Li, Yidong Zhang, Baopeng Shen, Hong Beijing Jiaotong Univ Sch Comp & Informat Technol Beijing Peoples R China

ISBN: (纸本)9781479924189

Cloud computing is becoming increasingly popular due to its power in providing high-performance and flexible service capabilities. More and more internet users have accepted this innovative service model and been using various cloud-based services every day. However, these service-using data is quite valuable for marketing purposes, as it can reflect a user's interest and service-using pattern. therefore, the privacy issues have been brought out. Recently, many studies focus on access control and other traditional security problems in cloud, and little studied on the topic of the private service data publishing. In this paper, we study the private service data publishing problem by representing the data with a hypergraph, which is quite efficient to illustrate complex relationships among users. We first formulate the problem with a popular background knowledge attack model named rank attack, and then providean anonymization-based method to prevent the released data from such attacks. We also take data utility into consideration by defining specific information loss metrics. the performances of the methods have been validated by two sets of synthetic data.

关键词： Cloud computing Complexity theory Measurement Privacy Publishing Security Vectors Privacy preserving cloud security private data publishing Publishing Cloud computing Complexity theory Privacy Security Consumers private data hypergraph

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Middleware 2013 - ACM/IFIP/USENIX 14th international Middleware conference, Proceedings

Middleware 2013 - ACM/IFIP/USENIX 14th International Middlew...

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14th ACM/IFIP/USENIX Middleware conference, Middleware 2013

ISBN: (纸本)9783642450648

the proceedings contain 25 papers. the topics discussed include: FastCast: a throughput- and latency-efficient total order broadcast protocol;VICINITY: a pinch of randomness brings out the structure;experiences with fault-injection in a Byzantine fault-tolerant protocol;assured cloud-based data analysis with ClusterBFT;DVFS aware CPU credit enforcement in a virtualized system;VMAR: optimizing I/O performance and resource utilization in the cloud;cross-tier application and data partitioning of web applications for hybrid cloud deployment;transactional failure recovery for a distributed key-value store;efficient batched synchronization in dropbox-like cloud storage services;back to the future: using magnetic tapes in cloud based storage infrastructures;efficient node bootstrapping for decentralised shared-nothing key-value stores;and self-scalable benchmarking as a service with automatic saturation detection.

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A Locality-Aware Dynamic thread Scheduler for GPGPUs 14

A Locality-Aware Dynamic Thread Scheduler for GPGPUs

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14th international conference on Parallel and distributed computing, Applications and Technologies (PDCAT)

作者： Huang, Yu-Hao Tseng, Ying-Yu Kuo, Hsien-Kai Yen, Ta-Kan Lai, Bo-Cheng Charles Natl Chiao Tung Univ Dept Elect Engn Hsinchu 30010 Taiwan

ISBN: (纸本)9781479924189

Modern GPGPUs implement on-chip shared cache to better exploit the data reuse of various general purpose applications. Given the massive amount of concurrent threads in a GPGPU, striking the balance between Data Locality and Load Balance has become a critical design concern. To achieve the best performance, the trade-off between these two factors needs to be performed concurrently. this paper proposes a dynamic thread scheduler which co-optimizes both the data locality and load balance on a GPGPU. the proposed approach is evaluated using three applications with various input datasets. the results show that the proposed approach reduces the overall execution cycles by up to 16% when compared with other approaches concerning only one objective.

关键词： Dynamic scheduling Equations Instruction sets Loading Mathematical model Optimization Runtime Data Locality GPU parallel computing locality data instruction sets dynamic scheduling Runtime PARALLEL PROCESSING (COMPUTERS) Load balancing Mathematical Model loading thREADS scheduler program GRAPPER PICK UP Graphics Processing Unit Program thread

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Optimizing Apache Kafka Deployments - Configuration customization is all you need 14

Optimizing Apache Kafka Deployments - Configuration customiz...

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14th international conference on computing Communication and networking Technologies, ICCCNT 2023

作者： Das, Swarnabha Goswami, Sujay Subalalitha, C.N. SRM Institute of Science and Technology Dept of Computing Technologies Kolkata India SRM Institute of Science and Technology Dept of Computing Technologies Chennai India

ISBN: (纸本)9798350335095

Apache Kafka is an open source publish-subscribe message broker and distributed logging tool that has a widespread adoption in the modern world by companies like Uber, Airbnb, Linkedin and many more. Delivering extreme high volume event data to diverse consumers via a publish-subscribe messaging system with several out of the box optimizations on the 4 major pillars of latency, throughput, durability and availability makes this tool so much popular in the IT landscape. Kafka has the option to customize most of its configuration related parameters to optimize it the most for our use case. Some of the use cases have millions of writes per second, hence it needs to handle huge billions of volumes of data which cannot be done easily by a traditional database or key-value store pair. Some use cases like a chat application demands very low latency where storing the data can be delayed, but the recipient needs to get the sender's message delivered as soon as possible. Some use cases like a banking application requires high durability over latency and throughput, where the data records must be stored in spite of any system failures. Latencies over 500ms can be tolerated but not data loss in any possible case. And finally some use cases like emergency systems, autonomous vehicles, these are some applications that have to be available for communication all the time and it really doesn't demand low latency or high throughput or high *** the crux of this is, we should know to configure the application depending on our use case. In this paper we are comprehensively going to talk about how we can optimize Apache Kafka correctly depending on these 4 major pillars. After immense testing and brainstorming we have come up with a set of configuration parameters for each of these pillars which would provide a headstart to optimize the kafka deployment. Kafka's ability to scale efficiently, but it can become a bottleneck if not properly configured. We have benchmarked the resu

关键词： Durability

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Energy-Efficient Collaborative Query Processing Framework for Mobile Sensing Services

Energy-Efficient Collaborative Query Processing Framework fo...

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IEEE 14th international conference on Mobile Data Management (MDM)

作者： Yang, Jin Mo, Tianli Lim, Lipyeow Sattler, Kai-Uwe Misra, Archan Tech Univ Ilmenau D-98684 Ilmenau Germany Univ Hawaii Manoa Honolulu HI 96822 USA Singapore Management Univ Singapore 178902 Singapore

ISBN: (纸本)9781467360685

Many emerging context-aware mobile applications involve the execution of continuous queries over sensor data streams generated by a variety of on-board sensors on multiple personal mobile devices (aka smartphones). To reduce the energy-overheads of such large-scale, continuous mobile sensing and query processing, this paper introduces CQP, a collaborative query processing framework that exploits the overlap (in both the sensor sources and the query predicates) across multiple smartphones. the framework automatically identifies the shareable parts of multiple executing queries, and then reduces the overheads of repetitive execution and data transmissions, by having a set of 'leader' mobile nodes execute and disseminate these shareable partial results. To further reduce energy, CQP utilizes lower-energy short-range wireless links (such as Bluetooth) to disseminate such results directly among proximate smartphones. We describe algorithms to support our server-assisted distributed query sharing and optimization strategy. Simulation experiments indicate that this approach can result in 60% reduction in the energy overhead of continuous query processing;when ` leader' selection is dynamically rotated to equitably share the burden, we observe an increase of up to 65% in operational lifetime.

关键词： Bluetooth groupware mobile computing query processing radio links smart phones

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