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检索条件"任意字段=Conference on Configurable Computing - Technology and Applications"

共 333 条记录，以下是171-180 订阅

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QoS-Aware Energy Management Architecture for Cloud Services

QoS-Aware Energy Management Architecture for Cloud Services

引用

IEEE International conference on Service-Oriented computing and applications (SOCA)

作者： Mohammed Alodib Qassim University Buraidah Qassim Saudi Arabia

Cloud computing is an emergent technology that offers a pool of configurable resources such as processors, networks, storages, operating system, database, and servers. These resources are offered as Web services deployed on the cloud. The coordination of the interactions between these services is one of the key challenges of cloud architecture. Any failings in these services could lead to lack of availability, which may violate Service Level Agreements causing financial penalties, customer dissatisfaction, or lack of energy. Therefore, it is essential, from a performance perspective, to propose a technique that will insure on-line coordination of services deployed on the cloud. This paper introduces a coordinating service known as a Protocol service. The approach harnesses the capability of the Model Driven Architecture (MDA) to automate the creation and integration of Protocol services, which are deployed into the cloud in order to avoid nonavailability or overuse of services. As a proof of concept, the method presented in this paper is implemented as a plug in that automatically produces new Protocol services and integrates them with existing services, it also configures the cloud interface to forward requests to Protocol services.

关键词： Protocols Computer architecture Cloud computing Service-oriented architecture Monitoring Operating systems

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Exploring challenges in Mobile cloud computing: An overview

Exploring challenges in Mobile cloud computing: An overview

引用

Confluence 2013: The Next Generation Information technology Summit (4th International conference)

作者： Anupriya Tuli Nitasha Hasteer Megha Sharma Abhay Bansal Amity University Noida Uttar Pradesh IN

Cloud computing has been the topic of research for quite some time now. It is a model for enabling convenient, ubiquitous, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, applications, and services including security, application development, etc.) that can be rapidly provisioned and released with minimal management effort or service provider interaction. On the other hand, the increasing technological enhancement in the field of mobile computing is demanding pervasive and ubiquitous computing (PUC), which has given birth to the idea of integrating the concept of Cloud with mobile computing. This new paradigm known as Mobile cloud computing (MCC), has emerged as an area of keen interest among researchers. Mobile Cloud computing is a mobile computing technology that uses unified elastic resources of different clouds and network technologies to provide mobile user with high computing power and storage capacity with limited resources in hand, and is based on the “pay-as-you-use” principle. This paper analyses the MCC architecture, exploring all possible challenges surrounding it under two groups (Challenges in Mobile computing & Challenges in Cloud computing) and finally concluding with heterogeneity being the prime factor contributing to these challenges.

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Agent based dynamic load balancing in Cloud computing

Agent based dynamic load balancing in Cloud Computing

引用

International conference on Human Computer Interactions (ICHCI)

作者： Jitender Grover Shivangi Katiyar Computer Science & Engineering Department M. M. University Ambala India Information Technology Department M. M. University Ambala India

Cloud computing is one of the latest computing paradigms in IT sector today where applications, platforms, software and some other IT services are provided over the internet. It is also known as On Demand computing. Cloud computing considers shared pool of configurable computing resources which requires proper resource distribution among the tasks, otherwise in some situations resources may over-utilized or under-utilized. For the sake of efficient resource utilization, Load Balancing System problem needs more attention in cloud computing. In This paper, we have used Agent Based Dynamic Load Balancing (ABDLB) approach in which mobile agent plays very important role, which is a software entity and usually defined as an independent software program that runs on behalf of a network administrator. It has ability to learn. After comparing the proposed method with traditional load balancing scheme we concluded that Agent Base load balancing scheme greatly reduces the communication cost of servers, accelerates the rate of load balancing which indirectly improves the Throughput and Response Time of the cloud.

关键词： Servers Load management Cloud computing Heuristic algorithms Throughput Mobile agents Load modeling

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Smart Task Distributor for MapReduce on Cloud computing

Smart Task Distributor for MapReduce on Cloud Computing

引用

International conference on Cloud computing and Big Data (CloudCom-Asia)

作者： Tzu-Chi Huang Kuo-Chih Chu Jun-Ming Liang Department of Electronic Engineering Lunghwa University of Science and Technology Taoyuan Taiwan

A MapReduce system is widely used to implement the large-scale computation on cloud computing. A MapReduce system currently defines computation resources in a node as a roughly configurable slot number, and distributes tasks over nodes according to the slot number. However, a MapReduce system may make computation resources of clusters in the underutilization or overutilization condition, because a task of different applications unlikely uses the same computation resources and because a node may have different CPUs with different capabilities. A MapReduce system can use Smart Task Distributor (STD) proposed in this paper to solve the problem of the computation resource underutilization or overutilization in clusters. Technically, a MapReduce system can use STD to smartly distribute tasks over nodes in clusters, because STD on the one hand gradually assigns tasks to a node in order to fully utilize computation resources in the node and on the other hand dynamically estimates the remaining computation resources in the node for toggling the assignment of tasks on demand without overloading it. In experiments, a MapReduce system is proved to get better performances with STD than with other ways.

关键词： Runtime Standards Cloud computing Central Processing Unit Clustering algorithms Computers File systems

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A load balancing algorithm for private cloud storage

A load balancing algorithm for private cloud storage

引用

International conference on computing and Networking technology (ICCNT)

作者： B. Prabavathy K. Priya Chitra Babu Dept. of Computer Science SSN College of Engineering Kalavakkam Tamilnadu India

Cloud computing enables on-demand network access to a shared pool of configurable computing resources such as servers, storage and applications. These shared resources can be rapidly provisioned to the consumers on the basis of paying only for whatever they use. Cloud storage refers to the delivery of storage resources to the consumers over the Internet. Private cloud storage is restricted to a particular organization and data security risks are less compared to the public cloud storage. Hence, private cloud storage is built by exploiting the commodity machines within the organization and the important data is stored in it. When the utilization of such private cloud storage increases, there will be an increase in the storage demand. It leads to the expansion of the cloud storage with additional storage nodes. During such expansion, storage nodes in the cloud storage need to be balanced in terms of load. In order to maintain the load across several storage nodes, the data need to be migrated across the storage nodes. This data migration consumes more network bandwidth. The key idea behind this paper is to develop a dynamic load balancing algorithm to balance the load across the storage nodes during the expansion of private cloud storage.

关键词： Cloud computing Clustering algorithms Indexes Organizations Load management Educational institutions Communities

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Design and Implementation of a Smart IoT Gateway

Design and Implementation of a Smart IoT Gateway

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IEEE/ACM Int'l conference on & Int'l conference on Cyber, Physical and Social computing (CPSCom) Green computing and Communications (GreenCom)

作者： Shang Guoqiang Chen Yanming Zuo Chao Zhu Yanxu School of Electronic and Information Engineering Beihang University Beijing China Institute of Computing Technology of the Chinese Academy of Sciences Beijing China Department of Information Engineering Beijing Special Engineering Design Institution Beijing China

ISBN: (纸本)9781479906314

With rapid development of Internet of things (IoT), there exists an ever-growing demand for ubiquitous connectivity to integrate multiple heterogeneous networks, such as Zigbee Ad hoc network, wireless LAN, cable network, etc. Some typical applications including environmental monitoring, intelligent transportation, medical care, smart home, industry control, safety defense, etc. require a smart gateway to provide high data-rate, end-to-end connectivity utilizing the higher bandwidth of multi-hop networks among those heterogeneous networks. This paper proposes a novel configurable smart IoT gateway which has three important benefits. Firstly, the gateway has plug gable architecture, whose modules with different communication protocols can be customized and plugged in according to different networks. Secondly, it has unified external interfaces which are fit for flexible software development. Finally, it has flexible protocol to translate different sensor data into a uniform format. Compared with similar research, the gateway has better scalability, flexibility and lower cost.

关键词： Logic gates Protocols Hardware Web servers

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Management Issues with Cloud computing

Management Issues with Cloud Computing

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2013 the Second International conference on Innovative computing and Cloud computing(ICCC 2013)

作者： Akinlolu Olumide Akande Nozuko Aurelia April Jean-Paul Van Belle Department of Information Systems University of Cape Town

Cloud computing is becoming popular and many organizations are considering the adoption of cloud computing because of its promise of convenient, on demand network access to a shared pool of configurable computing resources such as networks, servers, storage, applications, and services that can be rapidly provisioned and released with minimal management effort or service provider interaction [22]. Although Cloud computing has many benefits and has the ability to increase an organizations return on investment, there are many issues such as ethical issues, security issues, data lock-in, lack of standardization, customization, technology bottlenecks, strategy issues etc. which are preventing managements of organizations from adopting cloud computing. As a result of this, it is important for managements of these organizations to be aware of the issues with cloud computing that could affect their implementation success. In order to identify the issues and propose ways to resolve these issues, this paper discusses the different management issues with cloud computing that have been identified by literature and suggests possible ways to resolve them. This paper also suggests that proper investigation into these issues and how to resolve them will increase management's confidence in cloud computing and ensure successful adoption and implementation of cloud computing.

关键词： Cloud computing organizations issues management standardize authorize

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OSGi-based self-configurable multi-layered RFID Reader Communication Protocol for Distributed Environment

OSGi-based self-configurable multi-layered RFID Reader Commu...

引用

2013 IEEE International conference on Business Innovation and technology Management conference

作者： Aniruddha Bhattacharjya R.K.Pandey Department of Computer Science and Engineering CMJ University Shilong MeghalayaIndia Department of Computer Science & Application R.D.University Jabalpur India

Radio Frequency Identification (RFID) systems are among the promising wireless technologies [12, 15, 16, 17, 18] as a practical means of auto-identification [10, 15, 16, 17, 18, 25] in a wide variety of applications in the modern era and as one of the most pervasive computing technologies [12, 15, 16, 17, 18] in history of wireless sensor networks. A typical RFID system [1, 3, 4, 5, 7, 8, 9, 11] is by and large composed of four parts: Tag, RFID reader, RFID middleware, and application system. The host system seeking between the hardware and the enterprise system should introduce intelligent operational environment using configurable rules and lightweight, event driven architecture [1, 3, 4, 5, 7, 8, 9, 14] for smoothing and restricting high volume of raw events injected from the physical world. Such implementation should be part and parcel of a generic middle- ware platform to ensure an open environment and adaptability. To make the RFID reader integration identical and useful for modern distributed environment, and to meet the low calculation requirement of low-cost readers, OSGi-based [11, 13, 19, 20, 21] self-configurable multi-layered RFID Reader Communication Protocol for Distributed Environment is presented here. Bearing in mind that the Electronic Product Code (EPC) standard [22, 23, 24] has become a virtual standard of RFID system due to its rapid development, to meet the demand of EPC Reader Protocol Standard (RPS) [22, 23, 24], the presented protocol is specified in four layers, respectively the Discovery Layer, the Reader Layer, the Tag Layer, and the Notify Layer. Differ from EPCRPS, in which different Messaging/Transport Bindings (MTB) [22, 23, 24] provided for different kinds of transport, the Messaging Layer and the Transport Layer are no longer designed to be working in pairs. This protocol makes the RFID reader integration identical and useful for modern distributed environment.

关键词： Radio Frequency Identification (RFID), Reader, Reader Protocol, Electronic Product Code (EPC), Service Management Framework (SMF), Open Services Gateway initiative (OSGi), Java Message Service (JMS), EXtensible Markup Language (XML).

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Scalable matching and ranking for network search

Scalable matching and ranking for network search

引用

International conference on Network and Service Management

作者： Misbah Uddin Rolf Stadler Alexander Clemm ACCESS Linnaeus Center KTH Royal Institute of Technology Cisco Systems San Jose California USA

Network search makes operational data available in real-time to management applications. In contrast to traditional monitoring, neither the data location nor the data format needs to be known to the invoking process, which simplifies application development, but requires an efficient search plane inside the managed system. The search plane is realized as a network of search nodes that process search queries in a distributed fashion. This paper introduces matching and ranking for network search queries. We are proposing a semantic for matching and ranking, which is configurable to support different types of management applications-from exact matching for database-style queries to loose, approximate matching, which is appropriate for exploratory purposes. We describe an echo protocol for efficient distributed query processing that supports matching and ranking. Further, we present the design of a search node, which maintains a real-time database of operational information and allows for parallel processing of search queries. A prototype implementation on a cloud testbed shows that the network search system, on a 9-node cluster with 24 core servers, executes 200 global search queries/sec with the 75th percetile latency below 100 milliseconds and with a CPU utilization below 5%. The performance measurements, together with our design, suggest that a system of 100,000 servers processing the same load would exhibit the same overhead per server and a query latency of below 1 sec.

关键词： Measurement Search problems Peer-to-peer computing Databases Protocols Web search Semantics

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Cloud computing Security: Concerns, Strategies and Best Practices

Cloud Computing Security: Concerns, Strategies and Best Prac...

引用

International conference on Cloud computing Technologies, applications, and Management (ICCCTAM)

作者： Francis, Tina Vadivel, S. BITS Pilani Dubai Campus Dept Comp Sci Dubai U Arab Emirates

ISBN: (纸本)9781467344159

Cloud computing is a technology that gives a convenient and on-demand access to the different services through a shared pool of configurable computing resources. This technology raises concerns about the movement of data and control into a third party's control sphere. In this paper cloud security concerns and security requirements are addressed. Hypothetical cloud architecture and best practices for cloud security are proposed.

关键词： cloud computing security access controls patterns data encryption cloud data security cryptography security monitoring trusted computing access control

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