Omer KhalidIvo MaljevicRichard AnthonyMiltos PetridisKevin ParrottMarkus SchulzPatelJ SwatiUpendra BhoiNeelima PriyankaSuresh VarmaaRaju KrishnamRama IndukuriSundariDeepika SaxenaDr ChouhanDr RameskaitNeelima PriyankaNSuresh VarmaPR KrishnamRaju IndukuriB Sukumar BabuPankajkumar ChauhanPayal JaglanPoonam DabasK RajaG SekarAntony ThomasG KrishnalalJagathy RajVGarima GuptaVimal KrP KumawatDharmendra R LaxmiSingh VineshRavinder JainSinghArnav WadhonkarDeepti Theng
Cloud Computing is a computing Paradigm in which services are provided by service providers on pay-per-use. Task Scheduling is the challenging issue in cloud computing. Task scheduling refers to allocating tasks to available resources to achieve better performance of the system. Here we have proposed a Heuristics algorithm to schedule tasks in given resources which satisfies the QoS of system taking Priority and Deadline of tasks as parameters. Our algorithm is compared with existing algorithms like EDF and TLD algorithms. Our algorithm provides better makespan, increases throughput and utilize resources well compared to existing algorithms
BAI Ya-mengYang WangWU Shen-shen
Hicham Ben AllaSaid Ben AllaAbdellah TouhafiAbdellah Ezzati
Indukuri R. Krishnam RajuP. Suresh VarmaM. V. Rama SundariG. Jose Moses
Yu ZhangBing TangJincheng LuoJiaming Zhang