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With increased cloud adoption globally, the cloud service providers are setting up their data centers in various geographical location to cater the needs of diverse range of users across the globe. The cost of managing data center includes not only hardware, software costs but also the electricity costs prevailing at that location. The cost of electricity varies from location to location and it is...
In current large-scale distributed key-value stores for cloud computing, the tail latency of the hundreds of key-value accesses generated by an end-user request determines the response time of this request. Replica selection algorithms, which select the best replica server for each key-value access as much as possible, is crucial to reduce the tail latency. This paper summarizes current replica selection...
In edge-cloud computing, a set of edge servers are deployed near the mobile devices such that these devices can offload jobs to the servers with low latency. One fundamental and critical problem in edge-cloud systems is how to dispatch and schedule the jobs so that the job response time (defined as the interval between the release of a job and the arrival of the computation result at its device) is...
In an era of mobile internet and big data, how to make the data access more efficient is worth researching because the mobile computing environments have some limitations such as the narrow bandwidth, the frequent disconnections of network and so on. To improve the response time of query, a good cache system is of vital importance. Besides, a good cache consistency method is essential to ensure the...
Cloud Computing is an emergent area in the field of Information Technology having the Internet as its base and provides various services as utility and follows pay-as you-go model. Load balancing is a critical issue in cloud computing which is a technique that uses multiple nodes and distributes dynamic workload among them so that no single node is overloaded and ensures none of the system collapse...
In order to provide augmented reality services, vast amounts of various forms of information are required, which can then be dispersed on multiple servers on the Internet. Thus, when a server does not have proper information for a certain request from a user device, it is better to pass the request to another server with the penalty of a longer response time. This paper proposes a method to reduce...
The paper formulates methods to measure the trustworthiness of a network system S under hostile environment conditions incident on S. How good is the system S in meeting the QoS expectations of applications (i.e., the QoS capability of S) is quantitatively measured — say, on a [0, 1] scale. We employ model-based assessment tools (e.g., PO-MDP) to benchmark the QoS capability by stress-testing S with...
Load Balancers (LBs) play a critical role in managing the performance and resource utilization of distributed systems. However, developing efficient LBs for large, distributed clusters is challenging for several reasons: (i) large clusters require numerous scheduling decisions per second, (ii) such clusters typically consist of heterogeneous servers that widely differ in their computing power, and...
Public cloud infrastructures provide flexible hosting for web application providers, but the rented virtual machines (VMs) often offer unpredictable performance to the deployed applications. Understanding cloud performance is challenging for application providers, as clouds provide limited information that would help them have expectations about their application performance. In this paper we present...
Cloud Computing is a major area of research. Cost and Load balancing has become an important QoS parameter. Load Balancing directly affects the Reliability, Response Time, Throughput and Energy Efficiency of a Server. A good Load Balanced architecture implies minimized overall time, less server failure, minimized response time, increased throughput and less wastage of energy. Such architecture also...
Data warehouses are used to store large quantities of materialized views to accelerate OLAP server response to query. The method to efficiently and accurately return the correct results at materialized view in a limited storage space is an important question that is being emphasized and a recognized difficulty for the ROLAP server design. This paper presents an improved and effective algorithm for...
The era of cloud based multimedia applications has lead to a huge increase in the no. of requests on cloud. The increased no. of requests on cloud leads to an increased workload, making workload balancing an important QoS Parameter. Workload Balancing also leads to a judicious use of resources like electricity etc. and thus promotes the concept of Green IT. The paper presents a new Load Balanced Resource...
Cloud patterns are described as good solutions to recurring design problems in a cloud context. These patterns are often inherited from Service Oriented Architectures or Object Oriented Architectures where they are considered good practices. However, there is a lack of studies that assess the benefits of these patterns for cloud applications. In this paper, we conduct an empirical study on a Restful...
Solid state drives (SSDs) are rapidly growing used in both personal computer and enterprise server area in the past several years. Compare with traditional hard disk drive, the advantages of SSDs are great performance, small size and shock resistance. However, SSDs suffer from obvious performance dropping when free physical pages become lacking, after plenty of data writing. Because time-consuming...
Aiming at the issues of session persistence and load balancing in large-scale power consumers access, this paper studied the cookie session persistence mechanisms on Web applications, and proposed a session persistence mechanism, which includes a session persistence strategy to realize load balancing combing session sever with cookie. Experiments show that the mechanism could effectively solve the...
The explosive growth of cloud computing in recent years has led to a massive increase in both the amount of traffic and the number of service requests to cloud servers. This growth trend of load poses serious challenges to the cloud load balancer in efficient balancing of the load, already a daunting job. The cloud load balancing is a highly researched field where numerous solutions to balance load...
Location Based Services has been widely used to guide the user with real time information. The efficient query processing and preserving the privacy of the user is a key challenge in these applications. There have been many researches for anonymity in the spatial network by generating cloaking region in the Road networks and a K-NN algorithm is used for processing query in this region. If the same...
Dynamic voltage and frequency scaling (DVFS) is one of the popular energy conservation techniques for battery operated real-time and embedded systems. This paper presents EEDVFS, an energy efficient DVFS scheduling algorithm for mixed task set. EEDVFS is a variant of Earliest Deadline First (EDF) based Deferrable Server (DS). Experimental results show that EEDVFS reduces energy consumption without...
Abstract -- The Cloud computing is a rapidly emerging distributed system paradigm that offers a huge amount of IT resources as utility services at a reduced cost and flexible schemes. The key of such flexibility is an efficient load balancer that offers better management and utilization of virtualized underlying cloud infrastructures. However, most of the existing load balancers in cloud computing...
As Cloud Computing is spreading globally and number of users demanding more cloud services and better results are growing rapidly, cloud load balancing become a very interesting and important research area. Generally, cloud is based on powerful datacenters that handle large number of users, so it must be featured with load balancer to achieve reliability which depends on the way it handles the load...
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