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Due to the recent wide use of computational resources in cloud computing, new resource provisioning challenges have been emerged. Resource provisioning techniques must keep total costs to a minimum while meeting the requirements of the…

分布式、并行与集群计算 · 计算机科学 2023-09-21 Safiye Ghasemi , Mohammad Reza Meybodi , Mehdi Dehghan Takht Fooladi , Amir Masoud Rahmani

Multimedia conferencing is the conversational exchange of multimedia content between multiple parties. It has a wide range of applications (e.g. Massively Multiplayer Online Games (MMOGs) and distance learning). Many multimedia conferencing…

多媒体 · 计算机科学 2015-09-24 Abbas Soltanian , Mohammad A. Salahuddin , Halima Elbiaze , Roch Glitho

Function-as-a-Service (FaaS) has recently emerged to reduce the deployment cost of running cloud applications compared to Infrastructure-as-a-Service (IaaS). FaaS follows a serverless 'pay-as-you-go' computing model; it comes at a higher…

分布式、并行与集群计算 · 计算机科学 2021-10-29 Ali Raza , Zongshun Zhang , Nabeel Akhtar , Vatche Isahagian , Ibrahim Matta

The core of the computer business now offers subscription-based on-demand services with the help of cloud computing. We may now share resources among multiple users by using virtualization, which creates a virtual instance of a computer…

分布式、并行与集群计算 · 计算机科学 2022-12-13 Sakshi Chhabra , Ashutosh Kumar Singh

Resource allocation (RA) is a significant aspect in Cloud Computing which facilitates the Cloud resources to Cloud consumers as a metered service. The Cloud resource manager is responsible to assign available resources to the tasks for…

分布式、并行与集群计算 · 计算机科学 2018-03-02 Syed Arshad Ali , Mansaf Alam

One of the major challenges of cloud computing is the management of request-response coupling and optimal allocation strategies of computational resources for the various types of service requests. In the normal situations the intelligence…

分布式、并行与集群计算 · 计算机科学 2012-06-05 T. R. Gopalakrishnan Nair , P Jayarekha

This paper presents a distributed resource selection mechanism for diverse cloud-edge environments, enabling dynamic and context-aware allocation of resources to meet the demands of complex distributed applications. By distributing the…

分布式、并行与集群计算 · 计算机科学 2025-10-10 Quentin Renau , Amjad Ullah , Emma Hart

A fundamental goal in the design of IaaS service is to enable both user-friendly and cost-effective service access, while attaining high resource efficiency for revenue maximization. QoS differentiation is an important lens to achieve this…

分布式、并行与集群计算 · 计算机科学 2018-03-28 Xiaohu Wu , Francesco De Pellegrini

Infrastructure as a Service (IaaS) Cloud services allow users to deploy distributed applications in a virtualized environment without having to customize their applications to a specific Platform as a Service (PaaS) stack. It is common…

软件工程 · 计算机科学 2018-01-30 Christian Stier , Jörg Domaschka , Anne Koziolek , Sebastian Krach , Jakub Krzywda , Ralf Reussner

The advantage of computational resources in edge computing near the data source has kindled growing interest in delay-sensitive Internet of Things (IoT) applications. However, the benefit of the edge server is limited by the uploading and…

信息论 · 计算机科学 2021-09-17 Mithun Mukherjee , Vikas Kumar , Suman Kumar , Jaime Lloret , Qi Zhang , Mian Guo

Software as a Service cloud computing model favorites the Multi-Tenancy as a key factor to exploit economies of scale. However Multi-Tenancy present several disadvantages. Therein, our approach comes to assign instances to multi-tenants…

软件工程 · 计算机科学 2018-12-21 Houda Kriouile , Bouchra El Asri

Cloud Computing is a new trend emerging in IT environment with huge requirements of infrastructure and resources. Load Balancing is an important aspect of cloud computing environment. Efficient load balancing scheme ensures efficient…

分布式、并行与集群计算 · 计算机科学 2014-03-28 Mayanka Katyal , Atul Mishra

Nowadays, data-centers are largely under-utilized because resource allocation is based on reservation mechanisms which ignore actual resource utilization. Indeed, it is common to reserve resources for peak demand, which may occur only for a…

分布式、并行与集群计算 · 计算机科学 2018-07-03 Francesco Pace , Dimitrios Milios , Damiano Carra , Daniele Venzano , Pietro Michiardi

Cloud computing is an established technology allowing users to share resources on a large scale, never before seen in IT history. A cloud system connects multiple individual servers in order to process related tasks in several environments…

分布式、并行与集群计算 · 计算机科学 2025-09-30 Leszek Sliwko

High performance is needed in many computing systems, from batch-managed supercomputers to general-purpose cloud platforms. However, scientific clusters lack elastic parallelism, while clouds cannot offer competitive costs for…

分布式、并行与集群计算 · 计算机科学 2023-05-16 Marcin Copik , Konstantin Taranov , Alexandru Calotoiu , Torsten Hoefler

Due to the high bandwidth requirements and stringent delay constraints of multi-user wireless video transmission applications, ensuring that all video senders have sufficient transmission opportunities to use before their delay deadlines…

网络与互联网体系结构 · 计算机科学 2014-01-07 Jie Xu , Yiannis Andrepoulos , Yuanzhang Xiao , Mihaela van der Schaar

Novel energy-aware cloud management methods dynamically reallocate computation across geographically distributed data centers to leverage regional electricity price and temperature differences. As a result, a managed VM may suffer…

分布式、并行与集群计算 · 计算机科学 2015-03-18 Dražen Lučanin , Foued Jrad , Ivona Brandic , Achim Streit

Multimedia conferencing is the conversational exchange of multimedia content between multiple parties. It has a wide range of applications (e.g., Massively Multiplayer Online Games (MMOGs) and distance learning). Media handling services…

多媒体 · 计算机科学 2019-03-29 Abbas Soltanian , Diala Naboulsi , Roch Glitho , Halima Elbiaze

A current trend in networking and cloud computing is to provide compute resources over widely dispersed places exemplified by initiatives like Network Function Virtualisation. This paves the way for a widespread service deployment and can…

网络与互联网体系结构 · 计算机科学 2016-05-31 Matthias Keller , Holger Karl

Large-scale storage cluster systems need to manage a vast amount of data locations. A naive data locations management maintains pairs of data ID and nodes storing the data in tables. However, it is not practical when the number of pairs is…

分布式、并行与集群计算 · 计算机科学 2017-07-05 Ken-ichiro Ishikawa