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With the technology improvements, managing a large amount of multimedia objects such as audio, video, picture or a combination of these has become possible. Multimedia data needs more real time storage and high data transfer than traditional textual and numeric data. In addition to these requirements, significant amount of computation is demanded for multimedia applications to serve many users at...
Cloud computing is used to provide memory and processing unit over the internet on pay-per-use basis. During the initial stage, the cloud computing environment faced complex problems due to multiplexing number of requests with available resources. The current state of the art is researchers have numerous solutions to resolve issues in handling CPU and RAM but, to the best of our knowledge; they have...
We tackle the cloud providers challenge of virtual machine placement when the client experienced Quality of Service (QoS) is of paramount importance and resource demand of virtual machines varies over time. To this end, this work investigates approaches that leverage measured dynamic data for placement decisions. Relying on dynamic data to guide decisions has, on the one hand, the potential to optimize...
Cloud computing is an emerging computing paradigm in which shared resources are provided according to the customer request at specific time. Load balancing is the process of distributing workload among various nodes of the computing system. The load can be CPU load, memory capacity, or network load. An efficient load balancing avoids a situation where some of the nodes are heavily loaded while other...
With recent advances in technology, resource control is a significant challenge for geographically distributed clouds. Users geographically close to the server get better services due to low latency. A few existing scheduling algorithms can provide better strategies through efficient job scheduling and resource allocation techniques. However, these algorithms are not efficient enough for distanced...
Cloud Computing is a type of parallel and distributed system consisting of a collection of interconnected and virtualized computers that are dynamically provisioned and presented as one or more unified computing resources between the service provider and consumers. In cloud computing, many tasks are to be executed by the available services to achieve better performance, minimum total time for completion,...
The global optimal Web service selection based on quality of service (QoS) in cloud environment has become a research focus when there are lots of the same or similar services. In this environment, it is possible that many service users request the same or similar services at the same time, which will result in users' unsatisfied requirement and services' load imbalance. The existing service selection...
Job scheduling problem is a core and challenging issue in cloud computing. It is impossible to predict the job execution time in cloud environment. Hence the scheduler must be dynamic. Parallel job scheduling strategies like EASY, conservative backfill algorithms are failed to fill the resource gap fully. In combinational backfill algorithm (CBA) small jobs are getting high priority. To achieve QOS...
High availability, reliability and scalability are basic prerequisites for cloud applications. Due to dynamically varying workloads, it's necessary to provide resource guarantees to cloud applications for meeting QoS requirements. However, it's not trivial to generate a precise scalability policy for multi-tiers cloud applications to adapt to dynamically varying workload and satisfy QoS requirements...
Cloud computing emerges as new computing paradigms in which virtualized resources provide reliable and guarantee service for users demand. Actually, cloud is a service-oriented platform because all kind of virtual resources are treated as service to users. Nowadays, most of data-intensive applications have been developed on cloud system. These applications reaches geographically separated storage...
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